Predicting complications and morbidities in PAD patients through lower extremity compositions with dual-energy CT and material decomposition: a 2-year follow-up observational study

Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (m...

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Published inBMC cardiovascular disorders Vol. 25; no. 1; pp. 268 - 12
Main Authors Lin, Dao-Chen, Tsai, Pei-Shan, Lin, Tzu-Lin, Huang, Wen-Hui, Liu, Yu-Peng, Wu, Tung-Hsin, Shih, Cheng‑Ting
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Published England BioMed Central Ltd 08.04.2025
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Abstract Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up. Fontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5-166.7, and OR 11.7, 95% CI: 2.8-50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2-142.8, and OR 10.7, 95% CI: 1.11-100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13-2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%. This study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.
AbstractList BackgroundPeripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients.MethodsBetween January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up.ResultsFontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5–166.7, and OR 11.7, 95% CI: 2.8–50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2–142.8, and OR 10.7, 95% CI: 1.11–100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13–2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm3 was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%.ConclusionsThis study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.
Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up. Fontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5-166.7, and OR 11.7, 95% CI: 2.8-50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2-142.8, and OR 10.7, 95% CI: 1.11-100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13-2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm.sup.3 was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%. This study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.
Background Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Methods Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up. Results Fontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5-166.7, and OR 11.7, 95% CI: 2.8-50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2-142.8, and OR 10.7, 95% CI: 1.11-100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13-2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm.sup.3 was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%. Conclusions This study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures. Keywords: Dual energy CT, Material decomposition, Cortical bone mass volume
Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up. Fontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5-166.7, and OR 11.7, 95% CI: 2.8-50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2-142.8, and OR 10.7, 95% CI: 1.11-100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13-2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%. This study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.
Abstract Background Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Methods Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up. Results Fontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5–166.7, and OR 11.7, 95% CI: 2.8–50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2–142.8, and OR 10.7, 95% CI: 1.11–100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13–2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm3 was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%. Conclusions This study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.
Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients.BACKGROUNDPeripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients.Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up.METHODSBetween January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. The association between each leg composition and developing complications or morbidities in PAD patients was analyzed over a two-year follow-up.Fontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5-166.7, and OR 11.7, 95% CI: 2.8-50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2-142.8, and OR 10.7, 95% CI: 1.11-100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13-2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm3 was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%.RESULTSFontaine stage 3 and 4 had lower muscle mass compared to stages 1 and 2. More severe vascular stenosis was associated with lower muscle, fat, and cortical-bone volume. Patients with severe Fontaine stages (3 and 4) and lower-leg vascular stenosis had a higher risk of developing infection or inflammation (OR 45.5, 95% CI: 13.5-166.7, and OR 11.7, 95% CI: 2.8-50, P < 0.05) and amputation (OR 18.2, 95% CI: 2.2-142.8, and OR 10.7, 95% CI: 1.11-100, P < 0.05). Lower thigh cortical-bone volume was associated with an increased risk of falls resulting in fractures (OR: 1.39, 95% CI: 1.13-2.19, P < 0.01). Thigh cortical-bone volume below 64.5 cm3 was identified as the cut-off value to predict fall-related fractures, with a sensitivity of 100% and specificity of 92%.This study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.CONCLUSIONSThis study demonstrates the potential of DECT with material decomposition to assess lower extremity composition and its relevance in predicting complications and morbidities in PAD patients. Severe vascular stenosis may contribute to muscle wasting and subsequent complications, while lower thigh cortical-bone mass may serve as a predictor of fall-related fractures.
ArticleNumber 268
Audience Academic
Author Liu, Yu-Peng
Tsai, Pei-Shan
Huang, Wen-Hui
Lin, Dao-Chen
Lin, Tzu-Lin
Shih, Cheng‑Ting
Wu, Tung-Hsin
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Cites_doi 10.1016/j.jvs.2020.03.050
10.1016/S1473-3099(20)30367-4
10.1016/j.ejrad.2010.11.022
10.1016/j.ejrad.2015.07.020
10.1016/S0140-6736(13)61249-0
10.1177/096721090201000620
10.1016/j.jtcvs.2007.07.021
10.2214/AJR.09.2681
10.1152/ajpcell.00356.2015
10.1016/j.jacc.2016.11.008
10.1118/1.3097632
10.1097/RLI.0000000000000367
10.1148/radiol.14140875
10.1148/rg.2016150220
10.1002/jbmr.17
10.1016/j.jvs.2014.10.094
10.1016/j.ejrad.2015.12.022
10.1016/j.acra.2009.12.013
10.1016/j.ejrad.2017.12.024
10.1016/j.ejrad.2010.02.008
10.1007/s00330-011-2135-1
10.1161/CIRCOUTCOMES.119.006399
10.1148/rg.2019180087
10.1007/s00330-022-09356-4
10.3400/avd.ra.18-00122
10.1016/j.acra.2008.05.018
10.1038/s41598-020-75250-y
10.1148/radiol.13122577
10.3348/kjr.2020.0996
10.37549/AR2291
10.1016/j.ejrad.2017.10.008
10.1016/j.ejrad.2016.01.015
10.1016/j.jcct.2011.10.007
10.1016/j.ejrad.2015.09.024
10.3174/ajnr.A4253
10.1097/RLI.0000000000000077
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Keywords Material decomposition
Dual energy CT
Cortical bone mass volume
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References S Sudarski (4695_CR14) 2015; 84
R Forghani (4695_CR12) 2015; 36
V Neuhaus (4695_CR21) 2017; 52
SS Martin (4695_CR16) 2017; 97
JL Wichmann (4695_CR11) 2014; 49
MD Gerhard-Herman (4695_CR3) 2017; 69
EJ Chae (4695_CR24) 2010; 194
F Pontana (4695_CR23) 2008; 15
M Weininger (4695_CR17) 2012; 81
D Leithner (4695_CR19) 2018; 99
CA Long (4695_CR34) 2020; 13
Y Matsubara (4695_CR4) 2015; 61
DK Mueller (4695_CR31) 2011; 79
X Liu (4695_CR30) 2009; 36
F Pontana (4695_CR25) 2010; 17
JR Grajo (4695_CR10) 2016; 45
P Riffel (4695_CR20) 2016; 85
FG Fowkes (4695_CR2) 2013; 382
Y Taes (4695_CR37) 2010; 25
C Ohlsson (4695_CR38) 2017; 102
PC Austin (4695_CR32) 2007; 134
C Frellesen (4695_CR15) 2015; 84
N Murray (4695_CR28) 2019; 39
CK Wang (4695_CR29) 2013; 269
N Azuma (4695_CR35) 2018; 11
C Frellesen (4695_CR13) 2016; 85
TA Potretzke (4695_CR27) 2015; 275
V Therakomen (4695_CR1) 2020; 10
FW Blaisdell (4695_CR7) 2002; 10
M Lang (4695_CR26) 2020; 20
RW Bauer (4695_CR22) 2011; 21
M Patino (4695_CR33) 2016; 36
PS Tsai (4695_CR8) 2023; 33
IR Vedder (4695_CR5) 2020; 72
S Paradis (4695_CR6) 2016; 310
R Fontaine (4695_CR36) 1954; 21
S Hamid (4695_CR9) 2021; 22
E Arnoldi (4695_CR18) 2011; 5
References_xml – volume: 72
  start-page: 2006
  issue: 6
  year: 2020
  ident: 4695_CR5
  publication-title: J Vasc Surg
  doi: 10.1016/j.jvs.2020.03.050
– volume: 20
  start-page: 1365
  issue: 12
  year: 2020
  ident: 4695_CR26
  publication-title: Lancet Infect Dis
  doi: 10.1016/S1473-3099(20)30367-4
– volume: 81
  start-page: 3703
  issue: 12
  year: 2012
  ident: 4695_CR17
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2010.11.022
– volume: 84
  start-page: 2052
  issue: 11
  year: 2015
  ident: 4695_CR15
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2015.07.020
– volume: 102
  start-page: 516
  issue: 2
  year: 2017
  ident: 4695_CR38
  publication-title: J Clin Endocrinol Metab
– volume: 382
  start-page: 1329
  issue: 9901
  year: 2013
  ident: 4695_CR2
  publication-title: Lancet
  doi: 10.1016/S0140-6736(13)61249-0
– volume: 10
  start-page: 620
  issue: 6
  year: 2002
  ident: 4695_CR7
  publication-title: Cardiovasc Surg
  doi: 10.1177/096721090201000620
– volume: 134
  start-page: 1128
  issue: 5
  year: 2007
  ident: 4695_CR32
  publication-title: J Thorac Cardiovasc Surg
  doi: 10.1016/j.jtcvs.2007.07.021
– volume: 194
  start-page: 604
  issue: 3
  year: 2010
  ident: 4695_CR24
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.09.2681
– volume: 310
  start-page: C968
  issue: 11
  year: 2016
  ident: 4695_CR6
  publication-title: Am J Physiol Cell Physiol
  doi: 10.1152/ajpcell.00356.2015
– volume: 69
  start-page: 1465
  issue: 11
  year: 2017
  ident: 4695_CR3
  publication-title: J Am Coll Cardiol
  doi: 10.1016/j.jacc.2016.11.008
– volume: 36
  start-page: 1602
  issue: 5
  year: 2009
  ident: 4695_CR30
  publication-title: Med Phys
  doi: 10.1118/1.3097632
– volume: 52
  start-page: 470
  issue: 8
  year: 2017
  ident: 4695_CR21
  publication-title: Invest Radiol
  doi: 10.1097/RLI.0000000000000367
– volume: 275
  start-page: 119
  issue: 1
  year: 2015
  ident: 4695_CR27
  publication-title: Radiology
  doi: 10.1148/radiol.14140875
– volume: 36
  start-page: 1087
  issue: 4
  year: 2016
  ident: 4695_CR33
  publication-title: Radiographics
  doi: 10.1148/rg.2016150220
– volume: 25
  start-page: 1433
  issue: 6
  year: 2010
  ident: 4695_CR37
  publication-title: J Bone Miner Res
  doi: 10.1002/jbmr.17
– volume: 61
  start-page: 945
  issue: 4
  year: 2015
  ident: 4695_CR4
  publication-title: J Vasc Surg
  doi: 10.1016/j.jvs.2014.10.094
– volume: 85
  start-page: 665
  issue: 3
  year: 2016
  ident: 4695_CR13
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2015.12.022
– volume: 17
  start-page: 587
  issue: 5
  year: 2010
  ident: 4695_CR25
  publication-title: Acad Radiol
  doi: 10.1016/j.acra.2009.12.013
– volume: 99
  start-page: 111
  year: 2018
  ident: 4695_CR19
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2017.12.024
– volume: 79
  start-page: 375
  issue: 3
  year: 2011
  ident: 4695_CR31
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2010.02.008
– volume: 21
  start-page: 1914
  issue: 9
  year: 2011
  ident: 4695_CR22
  publication-title: Eur Radiol
  doi: 10.1007/s00330-011-2135-1
– volume: 13
  start-page: e006399
  issue: 7
  year: 2020
  ident: 4695_CR34
  publication-title: Circ Cardiovasc Qual Outcomes
  doi: 10.1161/CIRCOUTCOMES.119.006399
– volume: 39
  start-page: 264
  issue: 1
  year: 2019
  ident: 4695_CR28
  publication-title: Radiographics
  doi: 10.1148/rg.2019180087
– volume: 33
  start-page: 4063
  issue: 6
  year: 2023
  ident: 4695_CR8
  publication-title: Eur Radiol
  doi: 10.1007/s00330-022-09356-4
– volume: 11
  start-page: 449
  issue: 4
  year: 2018
  ident: 4695_CR35
  publication-title: Ann Vasc Dis
  doi: 10.3400/avd.ra.18-00122
– volume: 15
  start-page: 1494
  issue: 12
  year: 2008
  ident: 4695_CR23
  publication-title: Acad Radiol
  doi: 10.1016/j.acra.2008.05.018
– volume: 10
  start-page: 19551
  issue: 1
  year: 2020
  ident: 4695_CR1
  publication-title: Sci Rep
  doi: 10.1038/s41598-020-75250-y
– volume: 269
  start-page: 525
  issue: 2
  year: 2013
  ident: 4695_CR29
  publication-title: Radiology
  doi: 10.1148/radiol.13122577
– volume: 21
  start-page: 499
  issue: 5–6
  year: 1954
  ident: 4695_CR36
  publication-title: Helv Chir Acta
– volume: 22
  start-page: 970
  issue: 6
  year: 2021
  ident: 4695_CR9
  publication-title: Korean J Radiol
  doi: 10.3348/kjr.2020.0996
– volume: 45
  start-page: 6
  year: 2016
  ident: 4695_CR10
  publication-title: Appl Radiol
  doi: 10.37549/AR2291
– volume: 97
  start-page: 1
  year: 2017
  ident: 4695_CR16
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2017.10.008
– volume: 85
  start-page: 720
  issue: 4
  year: 2016
  ident: 4695_CR20
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2016.01.015
– volume: 5
  start-page: 421
  issue: 6
  year: 2011
  ident: 4695_CR18
  publication-title: J Cardiovasc Comput Tomogr
  doi: 10.1016/j.jcct.2011.10.007
– volume: 84
  start-page: 2393
  issue: 12
  year: 2015
  ident: 4695_CR14
  publication-title: Eur J Radiol
  doi: 10.1016/j.ejrad.2015.09.024
– volume: 36
  start-page: 1194
  issue: 6
  year: 2015
  ident: 4695_CR12
  publication-title: AJNR Am J Neuroradiol
  doi: 10.3174/ajnr.A4253
– volume: 49
  start-page: 735
  issue: 11
  year: 2014
  ident: 4695_CR11
  publication-title: Invest Radiol
  doi: 10.1097/RLI.0000000000000077
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Snippet Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower extremity...
Background Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower...
BackgroundPeripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different lower...
Abstract Background Peripheral artery disease (PAD) is associated with various morbidities. This study aims to investigate the correlation between different...
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StartPage 268
SubjectTerms Abdomen
Adiposity
Aged
Amputation
Amputation, Surgical
Analysis
Body Composition
Bone composition
Bone mass
Bones
Cardiovascular disease
Care and treatment
Comorbidity
Complications and side effects
Computed tomography
Contrast agents
Cortical bone
Cortical bone mass volume
CT imaging
Decomposition
Density
Diagnosis
Diagnostic imaging
Dual energy CT
Energy
Falls (Accidents)
Female
Follow-Up Studies
Fractures
Humans
Inflammation
Iodine
Ischemia
Lower Extremity - blood supply
Lower Extremity - diagnostic imaging
Male
Material decomposition
Medical imaging
Medical imaging equipment
Medical research
Medicine, Experimental
Middle Aged
Morbidity
Muscle, Skeletal - diagnostic imaging
Muscle, Skeletal - physiopathology
Observational studies
Patients
Peripheral Arterial Disease - complications
Peripheral Arterial Disease - diagnostic imaging
Peripheral Arterial Disease - physiopathology
Peripheral Arterial Disease - therapy
Peripheral vascular diseases
Predictive Value of Tests
Prevention
Prognosis
Risk Assessment
Risk Factors
Severity of Illness Index
Stenosis
Time Factors
Tomography, X-Ray Computed
Vascular diseases
Vein & artery diseases
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Title Predicting complications and morbidities in PAD patients through lower extremity compositions with dual-energy CT and material decomposition: a 2-year follow-up observational study
URI https://www.ncbi.nlm.nih.gov/pubmed/40197259
https://www.proquest.com/docview/3187546437
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https://pubmed.ncbi.nlm.nih.gov/PMC11977887
https://doaj.org/article/fea50400a8a24b3597ab5fa6fa542d5d
Volume 25
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