Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention

Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Tradi...

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Published inJournal of cardiovascular development and disease Vol. 11; no. 8; p. 245
Main Authors Trimarchi, Giancarlo, Pizzino, Fausto, Paradossi, Umberto, Gueli, Ignazio Alessio, Palazzini, Matteo, Gentile, Piero, Di Spigno, Francesco, Ammirati, Enrico, Garascia, Andrea, Tedeschi, Andrea, Aschieri, Daniela
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Abstract Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.
AbstractList Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.
Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.
Author Gentile, Piero
Di Spigno, Francesco
Tedeschi, Andrea
Paradossi, Umberto
Ammirati, Enrico
Aschieri, Daniela
Palazzini, Matteo
Trimarchi, Giancarlo
Gueli, Ignazio Alessio
Garascia, Andrea
Pizzino, Fausto
AuthorAffiliation 2 Interdisciplinary Center for Health Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
5 Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy; francesco.dispigno@yahoo.com (F.D.S.); d.aschieri@ausl.pc.it (D.A.)
3 Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio—Regione Toscana, 54100 Massa, Italy; fpizzino@ftgm.it (F.P.); uparadossi@ftgm.it (U.P.); igueli@ftgm.it (I.A.G.)
1 Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, 98124 Messina, Italy; giancarlo.trimarchi18@gmail.com
4 “De Gasperis” Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy; matteo.palazzini@ospedaleniguarda.it (M.P.); pierogentile.87@gmail.com (P.G.); enrico.ammirati@ospedaleniguarda.it (E.A.); andrea.garascia@ospedaleniguarda.it (A.G.)
AuthorAffiliation_xml – name: 5 Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy; francesco.dispigno@yahoo.com (F.D.S.); d.aschieri@ausl.pc.it (D.A.)
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Cites_doi 10.1016/j.jacc.2018.10.066
10.1016/j.amjcard.2023.09.055
10.1016/j.jcmg.2023.08.021
10.1161/CIRCULATIONAHA.119.044720
10.1148/radiol.2292030516
10.1016/j.jcmg.2018.07.015
10.21037/qims-21-521
10.1016/j.jacc.2013.09.063
10.1586/erc.10.28
10.1016/j.atherosclerosis.2016.09.060
10.1161/HYP.0000000000000033
10.1148/radiol.2017162641
10.1097/RTI.0000000000000483
10.1056/NEJMra032393
10.1016/j.jcmg.2008.11.015
10.1148/radiol.10092473
10.1016/j.ejrad.2019.04.011
10.1148/radiol.2018171291
10.1016/j.amjcard.2019.07.061
10.3390/nu16101471
10.1016/j.jcmg.2018.10.039
10.1093/eurheartj/ehx095
10.4244/EIJ-D-22-00776
10.1007/s00330-019-06470-8
10.3390/jpm13081268
10.3390/jcdd10090363
10.3390/s22051910
10.1161/CIRCULATIONAHA.116.026910
10.5603/KP.2019.0018
10.1136/heartjnl-2016-309299
10.4103/jcecho.jcecho_63_17
10.6061/clinics/2021/e2754
10.1007/s00330-022-09155-x
10.1007/s40477-016-0193-6
10.1007/s00330-021-08152-w
10.1016/j.jcct.2022.07.002
10.1016/j.jcmg.2015.11.025
10.20944/preprints202403.0569.v1
10.1186/s40560-023-00678-z
10.1097/RLI.0000000000000787
10.1007/s10334-012-0361-4
10.1016/j.atherosclerosis.2024.117579
10.3389/fcvm.2022.1012450
10.1016/j.jcmg.2019.03.003
10.3390/jcm11102866
10.1016/0741-5214(93)90019-I
10.1016/j.jacc.2024.02.053
10.1016/j.hjc.2023.01.003
10.5334/gh.1288
10.2174/1570161116666180123112956
10.1093/eurheartj/ehab303
10.1172/JCI13005
10.1007/s11883-021-00943-2
10.1136/heartjnl-2019-316217
10.1016/j.clinsp.2022.100014
10.1093/ehjci/jew328
10.1007/BF00340850
10.21037/cdt.2016.11.06
10.1161/CIRCULATIONAHA.118.034338
10.1001/jamacardio.2017.2471
10.1161/CIRCINTERVENTIONS.118.007607
10.14797/mdcj-16-4-263
10.1148/rg.210097
10.5603/CJ.a2020.0032
10.1016/j.jcct.2021.05.004
10.3390/jcm12113627
10.1186/s12968-018-0471-x
10.2459/JCM.0000000000000380
10.1016/j.jcct.2020.09.007
10.1016/j.jcmg.2018.01.023
10.3389/fphys.2020.00056
10.1007/s11886-022-01790-6
10.3390/jcm11164718
10.1186/s12889-021-10429-0
10.1161/JAHA.123.031270
10.1001/jamacardio.2020.3409
10.1056/NEJM199108153250701
10.1161/CIRCRESAHA.123.322054
10.3389/fcvm.2022.981012
10.1016/j.jacc.2012.11.083
10.1152/japplphysiol.00752.2015
10.1016/j.carrev.2024.06.007
10.1016/j.mayocp.2014.05.017
10.1016/j.compbiomed.2019.103418
10.1007/s11906-023-01285-x
10.4103/jcecho.jcecho_22_19
10.1007/s11916-019-0741-9
10.3390/cancers15030986
10.14366/usg.13018
10.3390/ijms22137115
10.3389/fped.2021.781496
10.3390/jcm12103481
10.1038/s41598-022-16228-w
10.1038/s41467-021-20966-2
10.1016/j.ajpc.2022.100335
10.1093/ehjci/jev222
10.1016/j.jacc.2019.03.009
10.1056/NEJM199901073400103
10.1002/ejhf.2337
10.1016/j.jcct.2018.01.012
10.1007/s11886-023-01951-1
10.3390/diagnostics11091708
10.1016/j.ejrad.2023.110706
10.1161/JAHA.116.004186
10.1001/jamacardio.2017.4973
10.1016/j.jcmg.2019.03.033
10.3389/fneur.2022.804039
10.1093/ehjci/jeab293
10.1093/eurheartj/eht293
10.1093/eurheartj/ehab484
10.1016/j.jcmg.2023.05.020
10.1016/j.jacc.2015.10.058
10.1097/RLI.0000000000000853
10.1016/S2589-7500(22)00022-X
10.1016/j.jcmg.2017.01.009
10.1016/j.jacc.2016.08.062
10.1093/ehjci/jey137
10.1016/j.jcmg.2021.10.020
10.1016/j.jbiomech.2013.02.012
10.1016/j.jcct.2019.11.012
10.1148/radiol.211780
10.1016/j.jcct.2020.11.002
10.1590/0100-3984.2015.0235
10.1161/CIRCULATIONAHA.116.026807
10.1001/jamacardio.2022.0183
10.3390/diagnostics13071243
10.1016/j.jcmg.2021.03.019
10.1016/j.jacc.2020.06.076
10.1161/CIRCULATIONAHA.108.773119
10.1007/s00330-020-06778-w
10.21203/rs.3.rs-3964470/v1
10.1016/j.jcct.2018.10.008
10.1038/s41572-019-0106-z
10.1016/j.jcmg.2015.12.026
10.1161/ATVBAHA.119.313132
10.1161/CIRCIMAGING.119.009829
10.1148/radiol.2018180513
10.1056/NEJMoa1915922
10.1097/MD.0000000000029609
10.1007/s11886-019-1177-x
10.1016/j.atherosclerosis.2020.03.019
10.1016/j.jcin.2013.10.017
10.1016/j.jcmg.2019.02.024
10.1001/jamacardio.2023.3142
10.1259/bjr.20130798
10.3390/jcm13092592
10.1002/ehf2.13828
10.1148/radiol.2021203968
10.1136/heartjnl-2011-300747
10.1063/1.4932210
10.1161/CIRCIMAGING.115.004330
10.1093/eurheartj/ehab312
10.1093/ajh/hpad005
10.1161/ATVBAHA.123.320138
10.1152/ajpcell.1994.267.3.C679
10.1016/j.jchf.2020.04.016
10.1056/NEJMp1606181
10.3390/diagnostics11122376
10.21037/qims-23-790
10.1016/j.jcmg.2018.11.037
10.1007/s11886-015-0695-4
10.1161/01.ATV.18.5.842
10.1161/CIRCRESAHA.121.318061
10.1016/j.ijcard.2016.09.039
10.17294/2330-0698.1025
10.1016/j.jjcc.2008.12.006
10.1093/ehjci/jey103
10.1093/ehjci/jet148
10.3390/jcm9072080
10.1016/j.compbiomed.2016.03.026
10.1016/j.echo.2023.03.008
10.1016/j.heliyon.2022.e10872
10.3390/jcm13010247
10.1016/j.jacc.2018.02.079
10.1097/RLI.0000000000000851
10.1159/000374095
10.1016/j.ihj.2015.08.005
10.2459/JCM.0000000000000185
10.2174/1573403X14666180222102312
10.1038/nrcardio.2014.60
10.1093/ehjci/jew167
10.3390/jcdd10060261
10.1016/j.ahj.2023.05.003
10.1148/radiol.213271
10.1177/1559827618812395
10.3389/fmedt.2022.984492
10.3390/jcm12175563
10.12688/f1000research.6595.1
10.1016/j.jcmg.2020.01.014
10.1016/j.jacc.2013.04.064
10.1161/CIRCULATIONAHA.119.045026
10.1161/CIRCIMAGING.117.007217
10.1016/j.ajpc.2021.100149
10.1007/s10554-021-02494-8
10.1016/j.jcmg.2021.08.015
10.1161/CIRCULATIONAHA.113.007094
10.1016/j.jacc.2018.11.002
10.1161/CIRCIMAGING.116.005521
10.1007/s00330-022-09028-3
10.1097/RLI.0b013e31828fdf9f
10.1016/j.jcct.2016.10.002
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Issue 8
Keywords cardiovascular prevention
cardiovascular risk factors
coronary computed tomography angiography
cardiac resonance imaging
echocardiography
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0000-0003-3360-3548
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0000-0002-4063-9760
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PMID 39195153
PQID 3097923412
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crossref_primary_10_3390_jcdd11080245
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PublicationDate 20240809
PublicationDateYYYYMMDD 2024-08-09
PublicationDate_xml – month: 8
  year: 2024
  text: 20240809
  day: 9
PublicationDecade 2020
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
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PublicationTitle Journal of cardiovascular development and disease
PublicationTitleAlternate J Cardiovasc Dev Dis
PublicationYear 2024
Publisher MDPI AG
MDPI
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– name: MDPI
References Waheed (ref_85) 2016; 255
Nicol (ref_29) 2019; 12
Patel (ref_124) 2020; 13
Cau (ref_171) 2023; 160
(ref_31) 2022; 48
Gorter (ref_78) 2022; 9
Cury (ref_105) 2022; 16
Townsend (ref_63) 2015; 66
Ley (ref_138) 2001; 107
Hussain (ref_88) 2020; 142
Yin (ref_111) 2022; 12
Pepe (ref_168) 2016; 17
Griffin (ref_194) 2023; 16
Bays (ref_13) 2021; 5
Maron (ref_98) 2020; 382
Boutouyrie (ref_50) 2021; 128
Xuereb (ref_48) 2023; 25
Yeboah (ref_84) 2016; 67
ref_72
ref_71
Yokoyama (ref_203) 2015; 5
ref_153
ref_77
Boussel (ref_146) 2014; 87
ref_155
ref_154
Symons (ref_159) 2018; 12
ref_74
ref_73
Dahal (ref_156) 2023; 33
Yan (ref_214) 2019; 16
ref_147
Kataoka (ref_109) 2014; 4
Narang (ref_181) 2019; 20
Ferencik (ref_114) 2018; 3
Kusunose (ref_182) 2020; 13
Slovut (ref_43) 2004; 350
Nola (ref_12) 2018; 14
ref_145
Abbara (ref_112) 2016; 10
Ghodeshwar (ref_5) 2023; 15
Mergen (ref_161) 2022; 57
Itu (ref_127) 2016; 121
Daghem (ref_8) 2020; 13
Laumer (ref_189) 2022; 7
Cortigiani (ref_82) 2024; 13
Danad (ref_196) 2017; 2
Visseren (ref_21) 2021; 42
Ko (ref_56) 2022; 101
Zeitouni (ref_24) 2023; 109
ref_210
Wong (ref_10) 2022; 10
Savant (ref_61) 2014; 2
Krishna (ref_185) 2023; 36
Marshall (ref_53) 2024; 26
Graham (ref_25) 2022; 24
ref_205
Bai (ref_206) 2018; 20
ref_204
Tang (ref_134) 2019; 116
Gaibazzi (ref_42) 2016; 17
Seetharam (ref_174) 2020; 16
Blaha (ref_87) 2014; 89
Yang (ref_186) 2022; 15
Benz (ref_165) 2020; 13
Moghaddasi (ref_184) 2016; 73
Rippe (ref_4) 2018; 13
Stuijfzand (ref_195) 2020; 5
Pontone (ref_144) 2022; 23
Medvedofsky (ref_180) 2018; 19
Ihdayhid (ref_198) 2023; 33
Woodward (ref_191) 2023; 263
Mortensen (ref_97) 2021; 23
Poli (ref_76) 2018; 28
Meenakshi (ref_75) 2016; 68
Libby (ref_19) 2019; 5
Sengupta (ref_188) 2016; 9
ref_110
Moneta (ref_35) 1993; 17
Pugliese (ref_81) 2021; 23
Aboyans (ref_36) 2018; 39
Ferencik (ref_100) 2014; 11
Grazioli (ref_68) 2015; 4
Eisenberg (ref_200) 2020; 13
Boespflug (ref_30) 1985; 27
Hjort (ref_123) 2017; 10
Lee (ref_46) 2014; 33
Tao (ref_207) 2019; 290
Abdelrahman (ref_90) 2020; 76
Jeyaraman (ref_213) 2023; 15
Zeleznik (ref_199) 2021; 12
Mancini (ref_101) 2014; 7
Dhawan (ref_140) 2010; 8
Tesche (ref_131) 2017; 285
Pizzino (ref_169) 2014; 1
Coenen (ref_129) 2018; 11
Whayne (ref_26) 2019; 17
Zito (ref_59) 2014; 15
Petritsch (ref_160) 2021; 56
Segers (ref_51) 2020; 40
Rajiah (ref_122) 2022; 42
Allmendinger (ref_150) 2022; 57
Zhang (ref_179) 2018; 138
Lage (ref_49) 2022; 77
Barkas (ref_6) 2024; 395
Taron (ref_118) 2021; 14
ref_15
Grundy (ref_86) 2019; 73
Kosmala (ref_65) 2020; 13
Qureshi (ref_96) 2014; 15
Olsen (ref_66) 2017; 10
Mavrogeni (ref_162) 2023; 70
Williams (ref_116) 2019; 73
Taylor (ref_128) 2013; 61
ref_22
Spears (ref_57) 2014; 63
Schoepf (ref_130) 2019; 124
Vliegenthart (ref_167) 2017; 19
Kwiecinski (ref_27) 2023; 16
Halliday (ref_211) 2019; 12
Perel (ref_1) 2024; 19
Said (ref_18) 2019; 21
Nurmohamed (ref_193) 2024; 17
Garg (ref_16) 2024; 44
Williams (ref_104) 2020; 141
Wehbe (ref_175) 2023; 8
Koons (ref_149) 2022; 12031
Chmara (ref_38) 2021; 28
Yuan (ref_173) 2024; 14
Schlett (ref_103) 2013; 48
Grant (ref_45) 2003; 229
Andreini (ref_125) 2019; 12
Hossain (ref_92) 2021; 15
Hadamitzky (ref_93) 2009; 2
Senoner (ref_117) 2020; 300
Samady (ref_136) 2020; 14
Tesche (ref_132) 2018; 288
Cilla (ref_108) 2013; 46
Park (ref_141) 2016; 102
Moshage (ref_133) 2018; 12
Pingitore (ref_166) 2016; 224
Hakimi (ref_44) 2019; 23
Lee (ref_143) 2019; 12
Neves (ref_83) 2017; 50
ref_58
Nicholls (ref_17) 2021; 42
Meah (ref_28) 2020; 106
ref_55
ref_54
ref_177
ref_176
ref_52
Chan (ref_208) 2014; 130
Ando (ref_139) 1994; 267
Cormode (ref_158) 2010; 256
Polak (ref_32) 1999; 340
Trimarchi (ref_70) 2023; 208
Mozzini (ref_34) 2016; 19
Zhuang (ref_121) 2020; 30
ref_60
Nous (ref_135) 2020; 30
Rozanski (ref_20) 2017; 10
Nielsen (ref_11) 2024; 83
ref_67
ref_164
ref_163
Koepp (ref_79) 2020; 8
Chawla (ref_69) 2023; 11
Yang (ref_119) 2022; 305
Tesche (ref_120) 2020; 35
Shaw (ref_102) 2021; 15
Doris (ref_91) 2016; 18
Sorin (ref_190) 2024; 5
ref_170
Szilveszter (ref_99) 2017; 7
Skoog (ref_152) 2022; 38
Zanchetti (ref_40) 2009; 120
Williams (ref_39) 2019; 77
Lin (ref_197) 2022; 4
Nitta (ref_202) 2013; 26
Hong (ref_107) 2009; 53
Narula (ref_187) 2016; 68
Parmar (ref_14) 2023; 15
ref_33
Serruys (ref_89) 2023; 18
Chaikriangkrai (ref_209) 2020; 13
Boccalini (ref_148) 2022; 303
Han (ref_142) 2016; 5
Leo (ref_172) 2019; 29
Obermeyer (ref_201) 2016; 375
Hadamitzky (ref_95) 2013; 62
Sprynger (ref_37) 2018; 19
Chang (ref_115) 2018; 71
Peters (ref_41) 2012; 98
Halliday (ref_212) 2017; 135
Rodesch (ref_151) 2022; 32
ref_47
ref_183
Curzen (ref_126) 2016; 9
Arnett (ref_23) 2019; 74
Sigovan (ref_157) 2021; 300
Muscogiuri (ref_178) 2022; 8
ref_3
Jin (ref_62) 2023; 36
ref_2
Obokata (ref_80) 2017; 136
Hadamitzky (ref_94) 2013; 34
Feuchtner (ref_113) 2017; 18
Nakashima (ref_137) 1998; 18
Varadarajan (ref_9) 2023; 132
Fernandes (ref_64) 2021; 76
Choi (ref_192) 2021; 15
ref_7
Serruys (ref_106) 2006; 92
References_xml – volume: 73
  start-page: 291
  year: 2019
  ident: ref_116
  article-title: Coronary Artery Plaque Characteristics Associated with Adverse Outcomes in the SCOT-HEART Study
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2018.10.066
– volume: 208
  start-page: 173
  year: 2023
  ident: ref_70
  article-title: Myocardial Work Appraisal in Transthyretin Cardiac Amyloidosis and Nonobstructive Hypertrophic Cardiomyopathy
  publication-title: Am. J. Cardiol.
  doi: 10.1016/j.amjcard.2023.09.055
– volume: 16
  start-page: 1608
  year: 2023
  ident: ref_27
  article-title: Noninvasive Coronary Atherosclerotic Plaque Imaging
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2023.08.021
– volume: 141
  start-page: 1452
  year: 2020
  ident: ref_104
  article-title: Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction: Results From the Multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART)
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.119.044720
– volume: 229
  start-page: 340
  year: 2003
  ident: ref_45
  article-title: Carotid Artery Stenosis: Gray-Scale and Doppler US Diagnosis--Society of Radiologists in Ultrasound Consensus Conference
  publication-title: Radiology
  doi: 10.1148/radiol.2292030516
– volume: 12
  start-page: 1645
  year: 2019
  ident: ref_211
  article-title: Outcome in Dilated Cardiomyopathy Related to the Extent, Location, and Pattern of Late Gadolinium Enhancement
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2018.07.015
– volume: 12
  start-page: 2744
  year: 2022
  ident: ref_111
  article-title: Unstable Plaques Hide in Heavily Calcified Coronary Arteries
  publication-title: Quant. Imaging Med. Surg.
  doi: 10.21037/qims-21-521
– volume: 63
  start-page: 636
  year: 2014
  ident: ref_57
  article-title: Aortic Pulse Wave Velocity Improves Cardiovascular Event Prediction: An Individual Participant Meta-Analysis of Prospective Observational Data from 17,635 Subjects
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2013.09.063
– volume: 8
  start-page: 545
  year: 2010
  ident: ref_140
  article-title: Shear Stress and Plaque Development
  publication-title: Expert. Rev. Cardiovasc. Ther.
  doi: 10.1586/erc.10.28
– volume: 255
  start-page: 193
  year: 2016
  ident: ref_85
  article-title: Collective Impact of Conventional Cardiovascular Risk Factors and Coronary Calcium Score on Clinical Outcomes with or without Statin Therapy: The St Francis Heart Study
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2016.09.060
– volume: 66
  start-page: 698
  year: 2015
  ident: ref_63
  article-title: Recommendations for Improving and Standardizing Vascular Research on Arterial Stiffness
  publication-title: Hypertension
  doi: 10.1161/HYP.0000000000000033
– volume: 285
  start-page: 17
  year: 2017
  ident: ref_131
  article-title: Coronary CT Angiography-Derived Fractional Flow Reserve
  publication-title: Radiology
  doi: 10.1148/radiol.2017162641
– volume: 35
  start-page: S66
  year: 2020
  ident: ref_120
  article-title: Machine Learning and Deep Neural Networks Applications in Coronary Flow Assessment: The Case of Computed Tomography Fractional Flow Reserve
  publication-title: J. Thorac. Imaging
  doi: 10.1097/RTI.0000000000000483
– volume: 350
  start-page: 1862
  year: 2004
  ident: ref_43
  article-title: Fibromuscular Dysplasia
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMra032393
– volume: 2
  start-page: 404
  year: 2009
  ident: ref_93
  article-title: Prognostic Value of Coronary Computed Tomographic Angiography for Prediction of Cardiac Events in Patients with Suspected Coronary Artery Disease
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2008.11.015
– volume: 256
  start-page: 774
  year: 2010
  ident: ref_158
  article-title: Atherosclerotic Plaque Composition: Analysis with Multicolor CT and Targeted Gold Nanoparticles
  publication-title: Radiology
  doi: 10.1148/radiol.10092473
– volume: 116
  start-page: 90
  year: 2019
  ident: ref_134
  article-title: Diagnostic Performance of Fractional Flow Reserve Derived from Coronary CT Angiography for Detection of Lesion-Specific Ischemia: A Multi-Center Study and Meta-Analysis
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2019.04.011
– volume: 288
  start-page: 64
  year: 2018
  ident: ref_132
  article-title: Coronary CT Angiography-Derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling
  publication-title: Radiology
  doi: 10.1148/radiol.2018171291
– volume: 124
  start-page: 1340
  year: 2019
  ident: ref_130
  article-title: Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome
  publication-title: Am. J. Cardiol.
  doi: 10.1016/j.amjcard.2019.07.061
– ident: ref_67
  doi: 10.3390/nu16101471
– volume: 15
  start-page: e43262
  year: 2023
  ident: ref_213
  article-title: Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare
  publication-title: Cureus
– volume: 13
  start-page: 215
  year: 2020
  ident: ref_65
  article-title: Asymptomatic Left Ventricular Diastolic Dysfunction: Predicting Progression to Symptomatic Heart Failure
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2018.10.039
– volume: 39
  start-page: 763
  year: 2018
  ident: ref_36
  article-title: 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in Collaboration with the European Society for Vascular Surgery (ESVS): Document Covering Atherosclerotic Disease of Extracranial Carotid and Vertebral, Mesenteric, Renal, Upper and Lower Extremity arteriesEndorsed by: The European Stroke Organization (ESO)The Task Force for the Diagnosis and Treatment of Peripheral Arterial Diseases of the European Society of Cardiology (ESC) and of the European Society for Vascular Surgery (ESVS)
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/ehx095
– volume: 18
  start-page: e1307
  year: 2023
  ident: ref_89
  article-title: Computed Tomographic Angiography in Coronary Artery Disease
  publication-title: EuroIntervention
  doi: 10.4244/EIJ-D-22-00776
– volume: 30
  start-page: 712
  year: 2020
  ident: ref_121
  article-title: Computed Tomography Angiography-Derived Fractional Flow Reserve (CT-FFR) for the Detection of Myocardial Ischemia with Invasive Fractional Flow Reserve as Reference: Systematic Review and Meta-Analysis
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-019-06470-8
– ident: ref_176
  doi: 10.3390/jpm13081268
– ident: ref_147
  doi: 10.3390/jcdd10090363
– ident: ref_52
  doi: 10.3390/s22051910
– volume: 135
  start-page: 2106
  year: 2017
  ident: ref_212
  article-title: Association Between Midwall Late Gadolinium Enhancement and Sudden Cardiac Death in Patients With Dilated Cardiomyopathy and Mild and Moderate Left Ventricular Systolic Dysfunction
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.116.026910
– volume: 77
  start-page: 71
  year: 2019
  ident: ref_39
  article-title: 2018 ESC/ESH Guidelines for the management of arterial hypertension
  publication-title: Kardiol. Pol.
  doi: 10.5603/KP.2019.0018
– volume: 102
  start-page: 1655
  year: 2016
  ident: ref_141
  article-title: Computational Fluid Dynamic Measures of Wall Shear Stress Are Related to Coronary Lesion Characteristics
  publication-title: Heart
  doi: 10.1136/heartjnl-2016-309299
– volume: 28
  start-page: 18
  year: 2018
  ident: ref_76
  article-title: Obesity, Cardiac Remodeling, and Metabolic Profile: Validation of a New Simple Index beyond Body Mass Index
  publication-title: J. Cardiovasc. Echogr.
  doi: 10.4103/jcecho.jcecho_63_17
– volume: 76
  start-page: e2754
  year: 2021
  ident: ref_64
  article-title: Prognostic Power of Conventional Echocardiography in Individuals without History of Cardiovascular Diseases: A Systematic Review and Meta-Analysis
  publication-title: Clinics
  doi: 10.6061/clinics/2021/e2754
– volume: 33
  start-page: 1612
  year: 2023
  ident: ref_156
  article-title: Components of Carotid Atherosclerotic Plaque in Spectral Photon-Counting CT with Histopathologic Comparison
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-022-09155-x
– volume: 19
  start-page: 83
  year: 2016
  ident: ref_34
  article-title: Searching the Perfect Ultrasonic Classification in Assessing Carotid Artery Stenosis: Comparison and Remarks upon the Existing Ultrasound Criteria
  publication-title: J. Ultrasound
  doi: 10.1007/s40477-016-0193-6
– volume: 32
  start-page: 152
  year: 2022
  ident: ref_151
  article-title: Coronary Calcium Scoring Potential of Large Field-of-View Spectral Photon-Counting CT: A Phantom Study
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-021-08152-w
– volume: 16
  start-page: 536
  year: 2022
  ident: ref_105
  article-title: CAD-RADSTM 2.0-2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI)
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2022.07.002
– volume: 10
  start-page: 541
  year: 2017
  ident: ref_123
  article-title: Clinical Use of Coronary CTA-Derived FFR for Decision-Making in Stable CAD
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2015.11.025
– ident: ref_71
  doi: 10.20944/preprints202403.0569.v1
– volume: 48
  start-page: 195
  year: 2022
  ident: ref_31
  article-title: Ultrasonography of supra-aortic trunks
  publication-title: Semergen
– volume: 11
  start-page: 28
  year: 2023
  ident: ref_69
  article-title: Correlation between Tissue Doppler-Derived Left Ventricular Systolic Velocity (S’) and Left Ventricle Ejection Fraction in Sepsis and Septic Shock: A Retrospective Cohort Study
  publication-title: J. Intensive Care
  doi: 10.1186/s40560-023-00678-z
– volume: 15
  start-page: e42616
  year: 2023
  ident: ref_5
  article-title: Impact of Lifestyle Modifications on Cardiovascular Health: A Narrative Review
  publication-title: Cureus
– volume: 56
  start-page: 653
  year: 2021
  ident: ref_160
  article-title: Photon-Counting Computed Tomography for Coronary Stent Imaging: In Vitro Evaluation of 28 Coronary Stents
  publication-title: Investig. Radiol.
  doi: 10.1097/RLI.0000000000000787
– volume: 26
  start-page: 451
  year: 2013
  ident: ref_202
  article-title: Automatic Slice Alignment Method for Cardiac Magnetic Resonance Imaging
  publication-title: MAGMA
  doi: 10.1007/s10334-012-0361-4
– volume: 395
  start-page: 117579
  year: 2024
  ident: ref_6
  article-title: Advancements in Risk Stratification and Management Strategies in Primary Cardiovascular Prevention
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2024.117579
– ident: ref_205
  doi: 10.3389/fcvm.2022.1012450
– volume: 13
  start-page: 97
  year: 2020
  ident: ref_124
  article-title: 1-Year Impact on Medical Practice and Clinical Outcomes of FFRCT: The ADVANCE Registry
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2019.03.003
– ident: ref_210
  doi: 10.3390/jcm11102866
– volume: 17
  start-page: 152
  year: 1993
  ident: ref_35
  article-title: Correlation of North American Symptomatic Carotid Endarterectomy Trial (NASCET) Angiographic Definition of 70% to 99% Internal Carotid Artery Stenosis with Duplex Scanning
  publication-title: J. Vasc. Surg.
  doi: 10.1016/0741-5214(93)90019-I
– volume: 83
  start-page: 2112
  year: 2024
  ident: ref_11
  article-title: Personalized Intervention Based on Early Detection of Atherosclerosis: JACC State-of-the-Art Review
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2024.02.053
– volume: 70
  start-page: 53
  year: 2023
  ident: ref_162
  article-title: Cardiovascular Magnetic Resonance for the Evaluation of Patients with Cardiovascular Disease: An Overview of Current Indications, Limitations, and Procedures
  publication-title: Hell. J. Cardiol.
  doi: 10.1016/j.hjc.2023.01.003
– volume: 19
  start-page: 11
  year: 2024
  ident: ref_1
  article-title: The Heart of the World
  publication-title: Glob. Heart
  doi: 10.5334/gh.1288
– volume: 17
  start-page: 270
  year: 2019
  ident: ref_26
  article-title: Non-Traditional Cardiovascular Risk Markers in the Era of Established Major Risk Factors and Multiple Guidelines
  publication-title: Curr. Vasc. Pharmacol.
  doi: 10.2174/1570161116666180123112956
– volume: 42
  start-page: 3420
  year: 2021
  ident: ref_17
  article-title: Optimizing Cardiovascular Risk Factors
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/ehab303
– volume: 107
  start-page: 1209
  year: 2001
  ident: ref_138
  article-title: VCAM-1 Is Critical in Atherosclerosis
  publication-title: J. Clin. Investig.
  doi: 10.1172/JCI13005
– volume: 23
  start-page: 44
  year: 2021
  ident: ref_97
  article-title: Is There a Role of Coronary CTA in Primary Prevention? Current State and Future Directions
  publication-title: Curr. Atheroscler. Rep.
  doi: 10.1007/s11883-021-00943-2
– volume: 106
  start-page: 1267
  year: 2020
  ident: ref_28
  article-title: Cardiovascular Imaging to Guide Primary Prevention
  publication-title: Heart
  doi: 10.1136/heartjnl-2019-316217
– volume: 77
  start-page: 100014
  year: 2022
  ident: ref_49
  article-title: Arterial Stiffness and Atrial Fibrillation: A Review
  publication-title: Clinics
  doi: 10.1016/j.clinsp.2022.100014
– volume: 19
  start-page: 47
  year: 2018
  ident: ref_180
  article-title: Three-Dimensional Echocardiographic Quantification of the Left-Heart Chambers Using an Automated Adaptive Analytics Algorithm: Multicentre Validation Study
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jew328
– volume: 27
  start-page: 544
  year: 1985
  ident: ref_30
  article-title: Ultrasonography of Supra-Aortic Trunks
  publication-title: Neuroradiology
  doi: 10.1007/BF00340850
– volume: 7
  start-page: 489
  year: 2017
  ident: ref_99
  article-title: Plaque Imaging with CT-a Comprehensive Review on Coronary CT Angiography Based Risk Assessment
  publication-title: Cardiovasc. Diagn. Ther.
  doi: 10.21037/cdt.2016.11.06
– volume: 138
  start-page: 1623
  year: 2018
  ident: ref_179
  article-title: Fully Automated Echocardiogram Interpretation in Clinical Practice
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.118.034338
– volume: 2
  start-page: 1100
  year: 2017
  ident: ref_196
  article-title: Comparison of Coronary CT Angiography, SPECT, PET, and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve
  publication-title: JAMA Cardiol.
  doi: 10.1001/jamacardio.2017.2471
– volume: 12
  start-page: e007607
  year: 2019
  ident: ref_125
  article-title: Impact of Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography on Heart Team Treatment Decision-Making in Patients With Multivessel Coronary Artery Disease: Insights From the SYNTAX III REVOLUTION Trial
  publication-title: Circ. Cardiovasc. Interv.
  doi: 10.1161/CIRCINTERVENTIONS.118.007607
– volume: 16
  start-page: 263
  year: 2020
  ident: ref_174
  article-title: Artificial Intelligence and Machine Learning in Cardiovascular Imaging
  publication-title: Methodist. Debakey Cardiovasc. J.
  doi: 10.14797/mdcj-16-4-263
– volume: 42
  start-page: 340
  year: 2022
  ident: ref_122
  article-title: CT Fractional Flow Reserve: A Practical Guide to Application, Interpretation, and Problem Solving
  publication-title: Radiographics
  doi: 10.1148/rg.210097
– volume: 28
  start-page: 271
  year: 2021
  ident: ref_38
  article-title: Carotid Intima-Media Thickness (IMT) in Patients with Severe Familial and Non-Familial Hypercholesterolemia: The Effect of Measurement Site on the IMT Correlation with Traditional Cardiovascular Risk Factors and Calcium Scores
  publication-title: Cardiol. J.
  doi: 10.5603/CJ.a2020.0032
– volume: 15
  start-page: 470
  year: 2021
  ident: ref_192
  article-title: CT Evaluation by Artificial Intelligence for Atherosclerosis, Stenosis and Vascular Morphology (CLARIFY): A Multi-Center, International Study
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2021.05.004
– ident: ref_145
  doi: 10.3390/jcm12113627
– volume: 20
  start-page: 65
  year: 2018
  ident: ref_206
  article-title: Automated Cardiovascular Magnetic Resonance Image Analysis with Fully Convolutional Networks
  publication-title: J. Cardiovasc. Magn. Reson.
  doi: 10.1186/s12968-018-0471-x
– volume: 17
  start-page: S45
  year: 2016
  ident: ref_168
  article-title: Cardiovascular Imaging in the Diagnosis and Monitoring of Cardiotoxicity: Cardiovascular Magnetic Resonance and Nuclear Cardiology
  publication-title: J. Cardiovasc. Med.
  doi: 10.2459/JCM.0000000000000380
– volume: 15
  start-page: 268
  year: 2021
  ident: ref_92
  article-title: Prognostic Value of Coronary Computed Tomography Angiography in Patients with Prior Percutaneous Coronary Intervention
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2020.09.007
– volume: 13
  start-page: 2223
  year: 2020
  ident: ref_165
  article-title: Sudden Cardiac Death in Ischemic Heart Disease: From Imaging Arrhythmogenic Substrate to Guiding Therapies
  publication-title: JACC Cardiovasc. Imaging
– volume: 12
  start-page: 1032
  year: 2019
  ident: ref_143
  article-title: Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2018.01.023
– ident: ref_110
  doi: 10.3389/fphys.2020.00056
– volume: 24
  start-page: 1679
  year: 2022
  ident: ref_25
  article-title: New Way to “SCORE” Risk: Updates on the ESC Scoring System and Incorporation into ESC Cardiovascular Prevention Guidelines
  publication-title: Curr. Cardiol. Rep.
  doi: 10.1007/s11886-022-01790-6
– ident: ref_77
  doi: 10.3390/jcm11164718
– ident: ref_2
  doi: 10.1186/s12889-021-10429-0
– volume: 92
  start-page: 388
  year: 2006
  ident: ref_106
  article-title: Coronary Artery Remodelling Is Related to Plaque Composition
  publication-title: Heart
– volume: 13
  start-page: e031270
  year: 2024
  ident: ref_82
  article-title: High Resting Coronary Flow Velocity by Echocardiography Is Associated With Worse Survival in Patients With Chronic Coronary Syndromes
  publication-title: J. Am. Heart Assoc.
  doi: 10.1161/JAHA.123.031270
– volume: 5
  start-page: 1338
  year: 2020
  ident: ref_195
  article-title: Stress Myocardial Perfusion Imaging vs Coronary Computed Tomographic Angiography for Diagnosis of Invasive Vessel-Specific Coronary Physiology: Predictive Modeling Results From the Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia (CREDENCE) Trial
  publication-title: JAMA Cardiol.
  doi: 10.1001/jamacardio.2020.3409
– ident: ref_33
  doi: 10.1056/NEJM199108153250701
– volume: 132
  start-page: 1607
  year: 2023
  ident: ref_9
  article-title: Imaging Early Life Cardiovascular Phenotype
  publication-title: Circ. Res.
  doi: 10.1161/CIRCRESAHA.123.322054
– ident: ref_154
  doi: 10.3389/fcvm.2022.981012
– volume: 61
  start-page: 2233
  year: 2013
  ident: ref_128
  article-title: Computational Fluid Dynamics Applied to Cardiac Computed Tomography for Noninvasive Quantification of Fractional Flow Reserve: Scientific Basis
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2012.11.083
– volume: 121
  start-page: 42
  year: 2016
  ident: ref_127
  article-title: A Machine-Learning Approach for Computation of Fractional Flow Reserve from Coronary Computed Tomography
  publication-title: J. Appl. Physiol.
  doi: 10.1152/japplphysiol.00752.2015
– ident: ref_15
  doi: 10.1016/j.carrev.2024.06.007
– volume: 89
  start-page: 1350
  year: 2014
  ident: ref_87
  article-title: Association of Coronary Artery Calcium and Coronary Heart Disease Events in Young and Elderly Participants in the Multi-Ethnic Study of Atherosclerosis: A Secondary Analysis of a Prospective, Population-Based Cohort
  publication-title: Mayo Clin. Proc.
  doi: 10.1016/j.mayocp.2014.05.017
– ident: ref_54
  doi: 10.1016/j.compbiomed.2019.103418
– volume: 26
  start-page: 131
  year: 2024
  ident: ref_53
  article-title: Update on the Use of Pulse Wave Velocity to Measure Age-Related Vascular Changes
  publication-title: Curr. Hypertens. Rep.
  doi: 10.1007/s11906-023-01285-x
– volume: 29
  start-page: 45
  year: 2019
  ident: ref_172
  article-title: The Intrusive Nature of Epicardial Adipose Tissue as Revealed by Cardiac Magnetic Resonance
  publication-title: J. Cardiovasc. Echogr.
  doi: 10.4103/jcecho.jcecho_22_19
– volume: 23
  start-page: 2
  year: 2019
  ident: ref_44
  article-title: Imaging of Carotid Dissection
  publication-title: Curr. Pain Headache Rep.
  doi: 10.1007/s11916-019-0741-9
– ident: ref_73
  doi: 10.3390/cancers15030986
– volume: 33
  start-page: 11
  year: 2014
  ident: ref_46
  article-title: General Principles of Carotid Doppler Ultrasonography
  publication-title: Ultrasonography
  doi: 10.14366/usg.13018
– ident: ref_163
  doi: 10.3390/ijms22137115
– ident: ref_58
  doi: 10.3389/fped.2021.781496
– ident: ref_164
  doi: 10.3390/jcm12103481
– ident: ref_183
  doi: 10.1038/s41598-022-16228-w
– volume: 12
  start-page: 715
  year: 2021
  ident: ref_199
  article-title: Deep Convolutional Neural Networks to Predict Cardiovascular Risk from Computed Tomography
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-021-20966-2
– ident: ref_204
– volume: 10
  start-page: 100335
  year: 2022
  ident: ref_10
  article-title: Atherosclerotic Cardiovascular Disease Risk Assessment: An American Society for Preventive Cardiology Clinical Practice Statement
  publication-title: Am. J. Prev. Cardiol.
  doi: 10.1016/j.ajpc.2022.100335
– volume: 5
  start-page: ztae027
  year: 2024
  ident: ref_190
  article-title: Machine Learning in Cardiac Stress Test Interpretation: A Systematic Review
  publication-title: Eur. Heart J.-Digit. Health
– volume: 17
  start-page: 991
  year: 2016
  ident: ref_42
  article-title: Differential Incremental Value of Ultrasound Carotid Intima-Media Thickness, Carotid Plaque, and Cardiac Calcium to Predict Angiographic Coronary Artery Disease across Framingham Risk Score Strata in the APRES Multicentre Study
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jev222
– volume: 74
  start-page: 1376
  year: 2019
  ident: ref_23
  article-title: 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2019.03.009
– volume: 340
  start-page: 14
  year: 1999
  ident: ref_32
  article-title: Carotid-Artery Intima and Media Thickness as a Risk Factor for Myocardial Infarction and Stroke in Older Adults. Cardiovascular Health Study Collaborative Research Group
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJM199901073400103
– volume: 23
  start-page: 1858
  year: 2021
  ident: ref_81
  article-title: Impact of Epicardial Adipose Tissue on Cardiovascular Haemodynamics, Metabolic Profile, and Prognosis in Heart Failure
  publication-title: Eur. J. Heart Fail.
  doi: 10.1002/ejhf.2337
– volume: 12
  start-page: 101
  year: 2018
  ident: ref_133
  article-title: Comparison of Invasively Measured FFR with FFR Derived from Coronary CT Angiography for Detection of Lesion-Specific Ischemia: Results from a PC-Based Prototype Algorithm
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2018.01.012
– volume: 25
  start-page: 1337
  year: 2023
  ident: ref_48
  article-title: Arterial Stiffness and Its Impact on Cardiovascular Health
  publication-title: Curr. Cardiol. Rep.
  doi: 10.1007/s11886-023-01951-1
– ident: ref_153
  doi: 10.3390/diagnostics11091708
– volume: 160
  start-page: 110706
  year: 2023
  ident: ref_171
  article-title: Epicardial Fat Volume Assessed with Cardiac Magnetic Resonance Imaging in Patients with Takotsubo Cardiomyopathy
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2023.110706
– volume: 5
  start-page: e004186
  year: 2016
  ident: ref_142
  article-title: Relationship Between Endothelial Wall Shear Stress and High-Risk Atherosclerotic Plaque Characteristics for Identification of Coronary Lesions That Cause Ischemia: A Direct Comparison With Fractional Flow Reserve
  publication-title: J. Am. Heart Assoc.
  doi: 10.1161/JAHA.116.004186
– volume: 3
  start-page: 144
  year: 2018
  ident: ref_114
  article-title: Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial
  publication-title: JAMA Cardiol.
  doi: 10.1001/jamacardio.2017.4973
– volume: 13
  start-page: 1055
  year: 2020
  ident: ref_8
  article-title: Noninvasive Imaging to Assess Atherosclerotic Plaque Composition and Disease Activity
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2019.03.033
– ident: ref_47
  doi: 10.3389/fneur.2022.804039
– volume: 19
  start-page: 92
  year: 2017
  ident: ref_167
  article-title: Diagnostic Performance of Semi-Quantitative and Quantitative Stress CMR Perfusion Analysis: A Meta-Analysis
  publication-title: J. Cardiovasc. Magn. Reson.
– volume: 23
  start-page: 299
  year: 2022
  ident: ref_144
  article-title: Clinical Applications of Cardiac Computed Tomography: A Consensus Paper of the European Association of Cardiovascular Imaging-Part I
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jeab293
– volume: 34
  start-page: 3277
  year: 2013
  ident: ref_94
  article-title: Prognostic Value of Coronary Computed Tomography Angiography during 5 Years of Follow-up in Patients with Suspected Coronary Artery Disease
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/eht293
– volume: 42
  start-page: 3227
  year: 2021
  ident: ref_21
  article-title: 2021 ESC Guidelines on Cardiovascular Disease Prevention in Clinical Practice
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/ehab484
– volume: 17
  start-page: 269
  year: 2024
  ident: ref_193
  article-title: AI-Guided Quantitative Plaque Staging Predicts Long-Term Cardiovascular Outcomes in Patients at Risk for Atherosclerotic CVD
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2023.05.020
– volume: 67
  start-page: 139
  year: 2016
  ident: ref_84
  article-title: Utility of Nontraditional Risk Markers in Atherosclerotic Cardiovascular Disease Risk Assessment
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2015.10.058
– volume: 57
  start-page: 399
  year: 2022
  ident: ref_150
  article-title: Photon-Counting Detector CT-Based Vascular Calcium Removal Algorithm: Assessment Using a Cardiac Motion Phantom
  publication-title: Investig. Radiol.
  doi: 10.1097/RLI.0000000000000853
– volume: 4
  start-page: e256
  year: 2022
  ident: ref_197
  article-title: Deep Learning-Enabled Coronary CT Angiography for Plaque and Stenosis Quantification and Cardiac Risk Prediction: An International Multicentre Study
  publication-title: Lancet Digit. Health
  doi: 10.1016/S2589-7500(22)00022-X
– volume: 10
  start-page: 304
  year: 2017
  ident: ref_20
  article-title: Primary Prevention of CVD: The Role of Imaging Trials
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2017.01.009
– volume: 68
  start-page: 2287
  year: 2016
  ident: ref_187
  article-title: Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2016.08.062
– volume: 20
  start-page: 541
  year: 2019
  ident: ref_181
  article-title: Machine Learning Based Automated Dynamic Quantification of Left Heart Chamber Volumes
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jey137
– volume: 16
  start-page: 193
  year: 2023
  ident: ref_194
  article-title: AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve: A CREDENCE Trial Substudy
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2021.10.020
– volume: 46
  start-page: 1248
  year: 2013
  ident: ref_108
  article-title: Comparison of the Vulnerability Risk for Positive versus Negative Atheroma Plaque Morphology
  publication-title: J. Biomech.
  doi: 10.1016/j.jbiomech.2013.02.012
– volume: 14
  start-page: 386
  year: 2020
  ident: ref_136
  article-title: Risk Stratification of Coronary Plaques Using Physiologic Characteristics by CCTA: Focus on Shear Stress
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2019.11.012
– volume: 303
  start-page: 303
  year: 2022
  ident: ref_148
  article-title: Coronary CT Angiography with Photon-Counting CT: First-In-Human Results
  publication-title: Radiology
  doi: 10.1148/radiol.211780
– volume: 15
  start-page: 93
  year: 2021
  ident: ref_102
  article-title: Society of Cardiovascular Computed Tomography/North American Society of Cardiovascular Imaging-Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2020.11.002
– volume: 50
  start-page: 182
  year: 2017
  ident: ref_83
  article-title: Coronary Artery Calcium Score: Current Status
  publication-title: Radiol. Bras.
  doi: 10.1590/0100-3984.2015.0235
– volume: 136
  start-page: 6
  year: 2017
  ident: ref_80
  article-title: Evidence Supporting the Existence of a Distinct Obese Phenotype of Heart Failure With Preserved Ejection Fraction
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.116.026807
– volume: 7
  start-page: 494
  year: 2022
  ident: ref_189
  article-title: Assessment of Artificial Intelligence in Echocardiography Diagnostics in Differentiating Takotsubo Syndrome From Myocardial Infarction
  publication-title: JAMA Cardiol.
  doi: 10.1001/jamacardio.2022.0183
– ident: ref_170
  doi: 10.3390/diagnostics13071243
– volume: 14
  start-page: 2186
  year: 2021
  ident: ref_118
  article-title: Risk Stratification With the Use of Coronary Computed Tomographic Angiography in Patients With Nonobstructive Coronary Artery Disease
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2021.03.019
– volume: 76
  start-page: 1226
  year: 2020
  ident: ref_90
  article-title: Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2020.06.076
– volume: 120
  start-page: 1084
  year: 2009
  ident: ref_40
  article-title: Baseline Values but Not Treatment-Induced Changes in Carotid Intima-Media Thickness Predict Incident Cardiovascular Events in Treated Hypertensive Patients: Findings in the European Lacidipine Study on Atherosclerosis (ELSA)
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.108.773119
– volume: 30
  start-page: 3692
  year: 2020
  ident: ref_135
  article-title: Impact of Machine-Learning CT-Derived Fractional Flow Reserve for the Diagnosis and Management of Coronary Artery Disease in the Randomized CRESCENT Trials
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-020-06778-w
– ident: ref_60
  doi: 10.21203/rs.3.rs-3964470/v1
– volume: 12
  start-page: 509
  year: 2018
  ident: ref_159
  article-title: Quarter-Millimeter Spectral Coronary Stent Imaging with Photon-Counting CT: Initial Experience
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2018.10.008
– volume: 5
  start-page: 56
  year: 2019
  ident: ref_19
  article-title: Atherosclerosis
  publication-title: Nat. Rev. Dis. Primers
  doi: 10.1038/s41572-019-0106-z
– volume: 9
  start-page: 1188
  year: 2016
  ident: ref_126
  article-title: Does the Routine Availability of CT-Derived FFR Influence Management of Patients With Stable Chest Pain Compared to CT Angiography Alone?: The FFRCT RIPCORD Study
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2015.12.026
– volume: 40
  start-page: 1034
  year: 2020
  ident: ref_51
  article-title: How to Measure Arterial Stiffness in Humans
  publication-title: Arterioscler. Thromb. Vasc. Biol.
  doi: 10.1161/ATVBAHA.119.313132
– volume: 13
  start-page: e009829
  year: 2020
  ident: ref_200
  article-title: Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects
  publication-title: Circ. Cardiovasc. Imaging
  doi: 10.1161/CIRCIMAGING.119.009829
– volume: 290
  start-page: 81
  year: 2019
  ident: ref_207
  article-title: Deep Learning–Based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study
  publication-title: Radiology
  doi: 10.1148/radiol.2018180513
– volume: 382
  start-page: 1395
  year: 2020
  ident: ref_98
  article-title: Initial Invasive or Conservative Strategy for Stable Coronary Disease
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa1915922
– volume: 101
  start-page: e29609
  year: 2022
  ident: ref_56
  article-title: Risk Assessment Indicators and Brachial-Ankle Pulse Wave Velocity to Predict Atherosclerotic Cardiovascular Disease
  publication-title: Medicine
  doi: 10.1097/MD.0000000000029609
– volume: 12031
  start-page: 120311A
  year: 2022
  ident: ref_149
  article-title: Improved Quantification of Coronary Artery Luminal Stenosis in the Presence of Heavy Calcifications Using Photon-Counting Detector CT
  publication-title: Proc. SPIE Int. Soc. Opt. Eng.
– volume: 21
  start-page: 89
  year: 2019
  ident: ref_18
  article-title: Contributions of Interactions Between Lifestyle and Genetics on Coronary Artery Disease Risk
  publication-title: Curr. Cardiol. Rep.
  doi: 10.1007/s11886-019-1177-x
– volume: 300
  start-page: 26
  year: 2020
  ident: ref_117
  article-title: Added Value of High-Risk Plaque Criteria by Coronary CTA for Prediction of Long-Term Outcomes
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2020.03.019
– volume: 7
  start-page: 195
  year: 2014
  ident: ref_101
  article-title: Predicting Outcome in the COURAGE Trial (Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation): Coronary Anatomy versus Ischemia
  publication-title: JACC Cardiovasc. Interv.
  doi: 10.1016/j.jcin.2013.10.017
– volume: 13
  start-page: 374
  year: 2020
  ident: ref_182
  article-title: A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2019.02.024
– volume: 8
  start-page: 1089
  year: 2023
  ident: ref_175
  article-title: Deep Learning for Cardiovascular Imaging: A Review
  publication-title: JAMA Cardiol.
  doi: 10.1001/jamacardio.2023.3142
– volume: 87
  start-page: 20130798
  year: 2014
  ident: ref_146
  article-title: Photon Counting Spectral CT Component Analysis of Coronary Artery Atherosclerotic Plaque Samples
  publication-title: Br. J. Radiol.
  doi: 10.1259/bjr.20130798
– ident: ref_177
  doi: 10.3390/jcm13092592
– volume: 9
  start-page: 953
  year: 2022
  ident: ref_78
  article-title: The Value of Echocardiographic Measurement of Epicardial Adipose Tissue in Heart Failure Patients
  publication-title: ESC Heart Fail.
  doi: 10.1002/ehf2.13828
– volume: 300
  start-page: 98
  year: 2021
  ident: ref_157
  article-title: In Vivo Molecular K-Edge Imaging of Atherosclerotic Plaque Using Photon-Counting CT
  publication-title: Radiology
  doi: 10.1148/radiol.2021203968
– volume: 98
  start-page: 177
  year: 2012
  ident: ref_41
  article-title: Improvements in Risk Stratification for the Occurrence of Cardiovascular Disease by Imaging Subclinical Atherosclerosis: A Systematic Review
  publication-title: Heart
  doi: 10.1136/heartjnl-2011-300747
– volume: 5
  start-page: 097182
  year: 2015
  ident: ref_203
  article-title: Automatic Slice-Alignment Method in Cardiac Magnetic Resonance Imaging for Evaluation of the Right Ventricle in Patients with Pulmonary Hypertension
  publication-title: AIP Adv.
  doi: 10.1063/1.4932210
– volume: 9
  start-page: e004330
  year: 2016
  ident: ref_188
  article-title: Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy
  publication-title: Circ. Cardiovasc. Imaging
  doi: 10.1161/CIRCIMAGING.115.004330
– ident: ref_22
  doi: 10.1093/eurheartj/ehab312
– volume: 36
  start-page: 201
  year: 2023
  ident: ref_62
  article-title: Relationship of Arterial Stiffness and Central Hemodynamics With Cardiovascular Risk In Hypertension
  publication-title: Am. J. Hypertens.
  doi: 10.1093/ajh/hpad005
– volume: 44
  start-page: 24
  year: 2024
  ident: ref_16
  article-title: Assessment of Subclinical Atherosclerosis in Asymptomatic People In Vivo: Measurements Suitable for Biomarker and Mendelian Randomization Studies
  publication-title: Arterioscler. Thromb. Vasc. Biol.
  doi: 10.1161/ATVBAHA.123.320138
– volume: 267
  start-page: C679
  year: 1994
  ident: ref_139
  article-title: Shear Stress Inhibits Adhesion of Cultured Mouse Endothelial Cells to Lymphocytes by Downregulating VCAM-1 Expression
  publication-title: Am. J. Physiol.
  doi: 10.1152/ajpcell.1994.267.3.C679
– volume: 4
  start-page: 460
  year: 2014
  ident: ref_109
  article-title: Spotty Calcification and Plaque Vulnerability in Vivo: Frequency-Domain Optical Coherence Tomography Analysis
  publication-title: Cardiovasc. Diagn. Ther.
– volume: 8
  start-page: 657
  year: 2020
  ident: ref_79
  article-title: Hemodynamic and Functional Impact of Epicardial Adipose Tissue in Heart Failure With Preserved Ejection Fraction
  publication-title: JACC Heart Fail.
  doi: 10.1016/j.jchf.2020.04.016
– volume: 375
  start-page: 1216
  year: 2016
  ident: ref_201
  article-title: Predicting the Future-Big Data, Machine Learning, and Clinical Medicine
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMp1606181
– ident: ref_155
  doi: 10.3390/diagnostics11122376
– volume: 14
  start-page: 736
  year: 2024
  ident: ref_173
  article-title: Association of Increased Epicardial Adipose Tissue Derived from Cardiac Magnetic Resonance Imaging with Myocardial Fibrosis in Duchenne Muscular Dystrophy: A Clinical Prediction Model Development and Validation Study in 283 Participants
  publication-title: Quant. Imaging Med. Surg.
  doi: 10.21037/qims-23-790
– volume: 12
  start-page: 1058
  year: 2019
  ident: ref_29
  article-title: The Future of Cardiovascular Computed Tomography: Advanced Analytics and Clinical Insights
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2018.11.037
– volume: 18
  start-page: 18
  year: 2016
  ident: ref_91
  article-title: Coronary CT Angiography as a Diagnostic and Prognostic Tool: Perspectives from the SCOT-HEART Trial
  publication-title: Curr. Cardiol. Rep.
  doi: 10.1007/s11886-015-0695-4
– volume: 18
  start-page: 842
  year: 1998
  ident: ref_137
  article-title: Upregulation of VCAM-1 and ICAM-1 at Atherosclerosis-Prone Sites on the Endothelium in the ApoE-Deficient Mouse
  publication-title: Arterioscler. Thromb. Vasc. Biol.
  doi: 10.1161/01.ATV.18.5.842
– volume: 16
  start-page: 585
  year: 2019
  ident: ref_214
  article-title: The Primary Use of Artificial Intelligence in Cardiovascular Diseases: What Kind of Potential Role Does Artificial Intelligence Play in Future Medicine?
  publication-title: J. Geriatr. Cardiol.
– volume: 128
  start-page: 864
  year: 2021
  ident: ref_50
  article-title: Arterial Stiffness and Cardiovascular Risk in Hypertension
  publication-title: Circ. Res.
  doi: 10.1161/CIRCRESAHA.121.318061
– volume: 224
  start-page: 337
  year: 2016
  ident: ref_166
  article-title: Usefulness of Late Gadolinium Enhancement MRI Combined with Stress Imaging in Predictive Significant Coronary Stenosis in New-Diagnosed Left Ventricular Dysfunction
  publication-title: Int. J. Cardiol.
  doi: 10.1016/j.ijcard.2016.09.039
– volume: 1
  start-page: 121
  year: 2014
  ident: ref_169
  article-title: Diagnosis of Chemotherapy-Induced Cardiotoxicity
  publication-title: J. Patient-Centered Res. Rev.
  doi: 10.17294/2330-0698.1025
– volume: 53
  start-page: 278
  year: 2009
  ident: ref_107
  article-title: Positive Remodeling Is Associated with More Plaque Vulnerability and Higher Frequency of Plaque Prolapse Accompanied with Post-Procedural Cardiac Enzyme Elevation Compared with Intermediate/Negative Remodeling in Patients with Acute Myocardial Infarction
  publication-title: J. Cardiol.
  doi: 10.1016/j.jjcc.2008.12.006
– volume: 19
  start-page: 1195
  year: 2018
  ident: ref_37
  article-title: Focus on Echovascular Imaging Assessment of Arterial Disease: Complement to the ESC Guidelines (PARTIM 1) in Collaboration with the Working Group on Aorta and Peripheral Vascular Diseases
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jey103
– volume: 15
  start-page: 267
  year: 2014
  ident: ref_96
  article-title: Does Coronary CT Angiography Improve Risk Stratification over Coronary Calcium Scoring in Symptomatic Patients with Suspected Coronary Artery Disease? Results from the Prospective Multicenter International CONFIRM Registry
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jet148
– ident: ref_55
  doi: 10.3390/jcm9072080
– volume: 73
  start-page: 47
  year: 2016
  ident: ref_184
  article-title: Automatic Assessment of Mitral Regurgitation Severity Based on Extensive Textural Features on 2D Echocardiography Videos
  publication-title: Comput. Biol. Med.
  doi: 10.1016/j.compbiomed.2016.03.026
– volume: 36
  start-page: 769
  year: 2023
  ident: ref_185
  article-title: Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography
  publication-title: J. Am. Soc. Echocardiogr.
  doi: 10.1016/j.echo.2023.03.008
– volume: 8
  start-page: e10872
  year: 2022
  ident: ref_178
  article-title: Application of AI in Cardiovascular Multimodality Imaging
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2022.e10872
– ident: ref_74
  doi: 10.3390/jcm13010247
– volume: 15
  start-page: e38073
  year: 2023
  ident: ref_14
  article-title: A Systematic Review of the Effects of Smoking on the Cardiovascular System and General Health
  publication-title: Cureus
– volume: 71
  start-page: 2511
  year: 2018
  ident: ref_115
  article-title: Coronary Atherosclerotic Precursors of Acute Coronary Syndromes
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2018.02.079
– volume: 57
  start-page: 406
  year: 2022
  ident: ref_161
  article-title: Extracellular Volume Quantification With Cardiac Late Enhancement Scanning Using Dual-Source Photon-Counting Detector CT
  publication-title: Investig. Radiol.
  doi: 10.1097/RLI.0000000000000851
– volume: 2
  start-page: 69
  year: 2014
  ident: ref_61
  article-title: Arterial Stiffness in Children: Pediatric Measurement and Considerations
  publication-title: Pulse
  doi: 10.1159/000374095
– volume: 68
  start-page: 336
  year: 2016
  ident: ref_75
  article-title: Epicardial Fat Thickness: A Surrogate Marker of Coronary Artery Disease-Assessment by Echocardiography
  publication-title: Indian Heart J.
  doi: 10.1016/j.ihj.2015.08.005
– volume: 15
  start-page: 797
  year: 2014
  ident: ref_59
  article-title: How Arterial Stiffness May Affect Coronary Blood Flow: A Challenging Pathophysiological Link
  publication-title: J. Cardiovasc. Med.
  doi: 10.2459/JCM.0000000000000185
– volume: 14
  start-page: 153
  year: 2018
  ident: ref_12
  article-title: Management of Measurable Variable Cardiovascular Disease’ Risk Factors
  publication-title: Curr. Cardiol. Rev.
  doi: 10.2174/1573403X14666180222102312
– volume: 11
  start-page: 390
  year: 2014
  ident: ref_100
  article-title: Comprehensive Plaque Assessment by Coronary CT Angiography
  publication-title: Nat. Rev. Cardiol.
  doi: 10.1038/nrcardio.2014.60
– volume: 18
  start-page: 772
  year: 2017
  ident: ref_113
  article-title: The High-Risk Criteria Low-Attenuation Plaque <60 HU and the Napkin-Ring Sign Are the Most Powerful Predictors of MACE: A Long-Term Follow-up Study
  publication-title: Eur. Heart J. Cardiovasc. Imaging
  doi: 10.1093/ehjci/jew167
– ident: ref_72
  doi: 10.3390/jcdd10060261
– volume: 263
  start-page: 123
  year: 2023
  ident: ref_191
  article-title: PROTEUS Study: A Prospective Randomized Controlled Trial Evaluating the Use of Artificial Intelligence in Stress Echocardiography
  publication-title: Am. Heart J.
  doi: 10.1016/j.ahj.2023.05.003
– volume: 305
  start-page: 578
  year: 2022
  ident: ref_119
  article-title: Relationship of Plaque Features at Coronary CT to Coronary Hemodynamics and Cardiovascular Events
  publication-title: Radiology
  doi: 10.1148/radiol.213271
– volume: 13
  start-page: 204
  year: 2018
  ident: ref_4
  article-title: Lifestyle Strategies for Risk Factor Reduction, Prevention, and Treatment of Cardiovascular Disease
  publication-title: Am. J. Lifestyle Med.
  doi: 10.1177/1559827618812395
– ident: ref_7
  doi: 10.3389/fmedt.2022.984492
– ident: ref_3
  doi: 10.3390/jcm12175563
– volume: 4
  start-page: 151
  year: 2015
  ident: ref_68
  article-title: Echocardiography in the Evaluation of Athletes
  publication-title: F1000Research
  doi: 10.12688/f1000research.6595.1
– volume: 13
  start-page: 1521
  year: 2020
  ident: ref_209
  article-title: Prognostic Value of Myocardial Extracellular Volume Fraction and T2-Mapping in Heart Transplant Patients
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2020.01.014
– volume: 62
  start-page: 468
  year: 2013
  ident: ref_95
  article-title: Optimized Prognostic Score for Coronary Computed Tomographic Angiography: Results from the CONFIRM Registry (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter Registry)
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2013.04.064
– volume: 142
  start-page: 917
  year: 2020
  ident: ref_88
  article-title: Zero Coronary Artery Calcium Score: Desirable, but Enough?
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.119.045026
– volume: 11
  start-page: e007217
  year: 2018
  ident: ref_129
  article-title: Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium
  publication-title: Circ. Cardiovasc. Imaging
  doi: 10.1161/CIRCIMAGING.117.007217
– volume: 5
  start-page: 100149
  year: 2021
  ident: ref_13
  article-title: Ten Things to Know about Ten Cardiovascular Disease Risk Factors
  publication-title: Am. J. Prev. Cardiol.
  doi: 10.1016/j.ajpc.2021.100149
– volume: 38
  start-page: 1145
  year: 2022
  ident: ref_152
  article-title: Comparison of the Agatston Score Acquired with Photon-Counting Detector CT and Energy-Integrating Detector CT: Ex Vivo Study of Cadaveric Hearts
  publication-title: Int. J. Cardiovasc. Imaging
  doi: 10.1007/s10554-021-02494-8
– volume: 109
  start-page: 527
  year: 2023
  ident: ref_24
  article-title: Prevention and Treatment of Premature Ischaemic Heart Disease with European Society of Cardiology Guidelines
  publication-title: Heart
– volume: 15
  start-page: 551
  year: 2022
  ident: ref_186
  article-title: Automated Analysis of Doppler Echocardiographic Videos as a Screening Tool for Valvular Heart Diseases
  publication-title: JACC Cardiovasc. Imaging
  doi: 10.1016/j.jcmg.2021.08.015
– volume: 130
  start-page: 484
  year: 2014
  ident: ref_208
  article-title: Prognostic Value of Quantitative Contrast-Enhanced Cardiovascular Magnetic Resonance for the Evaluation of Sudden Death Risk in Patients with Hypertrophic Cardiomyopathy
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.113.007094
– volume: 73
  start-page: 3168
  year: 2019
  ident: ref_86
  article-title: 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2018.11.002
– volume: 10
  start-page: e005521
  year: 2017
  ident: ref_66
  article-title: Global Longitudinal Strain by Echocardiography Predicts Long-Term Risk of Cardiovascular Morbidity and Mortality in a Low-Risk General Population: The Copenhagen City Heart Study
  publication-title: Circ. Cardiovasc. Imaging
  doi: 10.1161/CIRCIMAGING.116.005521
– volume: 33
  start-page: 321
  year: 2023
  ident: ref_198
  article-title: Evaluation of an Artificial Intelligence Coronary Artery Calcium Scoring Model from Computed Tomography
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-022-09028-3
– volume: 48
  start-page: 646
  year: 2013
  ident: ref_103
  article-title: Histogram Analysis of Lipid-Core Plaques in Coronary Computed Tomographic Angiography: Ex Vivo Validation against Histology
  publication-title: Investig. Radiol.
  doi: 10.1097/RLI.0b013e31828fdf9f
– volume: 10
  start-page: 435
  year: 2016
  ident: ref_112
  article-title: SCCT Guidelines for the Performance and Acquisition of Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography Guidelines Committee: Endorsed by the North American Society for Cardiovascular Imaging (NASCI)
  publication-title: J. Cardiovasc. Comput. Tomogr.
  doi: 10.1016/j.jcct.2016.10.002
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Snippet Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems....
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SubjectTerms Apolipoproteins
Asymptomatic
Atherosclerosis
Blood vessels
cardiac resonance imaging
Cardiology
Cardiovascular disease
cardiovascular prevention
cardiovascular risk factors
coronary computed tomography angiography
Disease prevention
echocardiography
Health risks
Heart
Lifestyles
Natural history
Review
Risk assessment
Tumor necrosis factor-TNF
Ultrasonic imaging
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Title Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention
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