Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction Patients
In a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography (ICA) without the additional use of a contrast agent, and demonstrat...
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Published in | Yonsei medical journal Vol. 65; no. 5; pp. 257 - 264 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Korea (South)
Yonsei University College of Medicine
01.05.2024
연세대학교의과대학 |
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Online Access | Get full text |
ISSN | 0513-5796 1976-2437 1976-2437 |
DOI | 10.3349/ymj.2023.0208 |
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Abstract | In a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography (ICA) without the additional use of a contrast agent, and demonstrated an excellent correlation in the infarct area compared with histopathologic specimens. In the present investigation, we evaluated the feasibility and diagnostic accuracy of a myocardial viability assessment by DE-MDCT using a hybrid system comprising ICA and MDCT alongside diagnostic ICA without the additional use of a contrast agent.
We prospectively enrolled 13 patients (median age: 67 years) with a previous MI (>6 months) scheduled to undergo ICA. All patients underwent cardiac magnetic resonance (CMR) imaging before diagnostic ICA. MDCT viability scans were performed concurrently with diagnostic ICA without the use of additional contrast. The total myocardial scar volume per patient and average transmurality per myocardial segment measured by DE-MDCT were compared with those from DE-CMR.
The DE volume measured by MDCT showed an excellent correlation with the volume measured by CMR (r=0.986,
<0.0001). The transmurality per segment by MDCT was well-correlated with CMR (r=0.900,
<0.0001); the diagnostic performance of MDCT in differentiating non-viable from viable myocardium using a 50% transmurality criterion was good with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 87.5%, 99.5%, 87.5%, 99.5%, and 99.1%, respectively.
The feasibility of the DE-MDCT viability assessment acquired simultaneously with conventional ICA was proven in patients with chronic MI using DE-CMR as the reference standard. |
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AbstractList | In a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography (ICA) without the additional use of a contrast agent, and demonstrated an excellent correlation in the infarct area compared with histopathologic specimens. In the present investigation, we evaluated the feasibility and diagnostic accuracy of a myocardial viability assessment by DE-MDCT using a hybrid system comprising ICA and MDCT alongside diagnostic ICA without the additional use of a contrast agent.
We prospectively enrolled 13 patients (median age: 67 years) with a previous MI (>6 months) scheduled to undergo ICA. All patients underwent cardiac magnetic resonance (CMR) imaging before diagnostic ICA. MDCT viability scans were performed concurrently with diagnostic ICA without the use of additional contrast. The total myocardial scar volume per patient and average transmurality per myocardial segment measured by DE-MDCT were compared with those from DE-CMR.
The DE volume measured by MDCT showed an excellent correlation with the volume measured by CMR (r=0.986,
<0.0001). The transmurality per segment by MDCT was well-correlated with CMR (r=0.900,
<0.0001); the diagnostic performance of MDCT in differentiating non-viable from viable myocardium using a 50% transmurality criterion was good with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 87.5%, 99.5%, 87.5%, 99.5%, and 99.1%, respectively.
The feasibility of the DE-MDCT viability assessment acquired simultaneously with conventional ICA was proven in patients with chronic MI using DE-CMR as the reference standard. In a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography (ICA) without the additional use of a contrast agent, and demonstrated an excellent correlation in the infarct area compared with histopathologic specimens. In the present investigation, we evaluated the feasibility and diagnostic accuracy of a myocardial viability assessment by DE-MDCT using a hybrid system comprising ICA and MDCT alongside diagnostic ICA without the additional use of a contrast agent.PURPOSEIn a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography (ICA) without the additional use of a contrast agent, and demonstrated an excellent correlation in the infarct area compared with histopathologic specimens. In the present investigation, we evaluated the feasibility and diagnostic accuracy of a myocardial viability assessment by DE-MDCT using a hybrid system comprising ICA and MDCT alongside diagnostic ICA without the additional use of a contrast agent.We prospectively enrolled 13 patients (median age: 67 years) with a previous MI (>6 months) scheduled to undergo ICA. All patients underwent cardiac magnetic resonance (CMR) imaging before diagnostic ICA. MDCT viability scans were performed concurrently with diagnostic ICA without the use of additional contrast. The total myocardial scar volume per patient and average transmurality per myocardial segment measured by DE-MDCT were compared with those from DE-CMR.MATERIALS AND METHODSWe prospectively enrolled 13 patients (median age: 67 years) with a previous MI (>6 months) scheduled to undergo ICA. All patients underwent cardiac magnetic resonance (CMR) imaging before diagnostic ICA. MDCT viability scans were performed concurrently with diagnostic ICA without the use of additional contrast. The total myocardial scar volume per patient and average transmurality per myocardial segment measured by DE-MDCT were compared with those from DE-CMR.The DE volume measured by MDCT showed an excellent correlation with the volume measured by CMR (r=0.986, p<0.0001). The transmurality per segment by MDCT was well-correlated with CMR (r=0.900, p<0.0001); the diagnostic performance of MDCT in differentiating non-viable from viable myocardium using a 50% transmurality criterion was good with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 87.5%, 99.5%, 87.5%, 99.5%, and 99.1%, respectively.RESULTSThe DE volume measured by MDCT showed an excellent correlation with the volume measured by CMR (r=0.986, p<0.0001). The transmurality per segment by MDCT was well-correlated with CMR (r=0.900, p<0.0001); the diagnostic performance of MDCT in differentiating non-viable from viable myocardium using a 50% transmurality criterion was good with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 87.5%, 99.5%, 87.5%, 99.5%, and 99.1%, respectively.The feasibility of the DE-MDCT viability assessment acquired simultaneously with conventional ICA was proven in patients with chronic MI using DE-CMR as the reference standard.CONCLUSIONThe feasibility of the DE-MDCT viability assessment acquired simultaneously with conventional ICA was proven in patients with chronic MI using DE-CMR as the reference standard. Purpose: In a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography(ICA) without the additional use of a contrast agent, and demonstrated an excellent correlation in the infarct area compared with histopathologic specimens. In the present investigation, we evaluated the feasibility and diagnostic accuracy of a myocardial viability assessment by DE-MDCT using a hybrid system comprising ICA and MDCT alongside diagnostic ICA without the additional use of a contrast agent. Materials and Methods: We prospectively enrolled 13 patients (median age: 67 years) with a previous MI (>6 months) scheduled to undergo ICA. All patients underwent cardiac magnetic resonance (CMR) imaging before diagnostic ICA. MDCT viability scans were performed concurrently with diagnostic ICA without the use of additional contrast. The total myocardial scar volume per patient and average transmurality per myocardial segment measured by DE-MDCT were compared with those from DE-CMR. Results: The DE volume measured by MDCT showed an excellent correlation with the volume measured by CMR (r=0.986, p<0.0001). The transmurality per segment by MDCT was well-correlated with CMR (r=0.900, p<0.0001); the diagnostic performance of MDCT in differentiating non-viable from viable myocardium using a 50% transmurality criterion was good with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 87.5%, 99.5%, 87.5%, 99.5%, and 99.1%, respectively. Conclusion: The feasibility of the DE-MDCT viability assessment acquired simultaneously with conventional ICA was proven in patients with chronic MI using DE-CMR as the reference standard. KCI Citation Count: 0 |
Author | Kim, Byeong-Keuk Yoo, Sun Kook Park, Seil Ha, Seongmin Lee, Byoung Kwon Hong, Youngtaek Jang, Yeonggul Chang, Hyuk-Jae |
AuthorAffiliation | 7 Cardiovascular Product Evaluation Center, Yonsei University College of Medicine, Seoul, Korea 2 CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Korea 1 Graduate Program of Biomedical Engineering, Yonsei University College of Medicine, Seoul, Korea 3 Brain Korea 21 Project for Medical Science Yonsei University, Seoul, Korea 5 Ontact Health Co., Ltd., Seoul, Korea 6 Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea 4 Department of Internal Medicine, Yonsei University Gangnam Severance Hospital, Seoul, Korea 8 Department of Medical Engineering, Yonsei University College of Medicine, Seoul, Korea |
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References | Allman (10.3349/ymj.2023.0208_ref4) 2013; 20 McGraw (10.3349/ymj.2023.0208_ref17) 1996; 1 Schwitter (10.3349/ymj.2023.0208_ref7) 2012; 14 Rodriguez-Granillo (10.3349/ymj.2023.0208_ref23) 2019; 26 Mahnken (10.3349/ymj.2023.0208_ref13) 2009; 19 Nandalur (10.3349/ymj.2023.0208_ref5) 2007; 50 Jang (10.3349/ymj.2023.0208_ref12) 2015; 9 Gutberlet (10.3349/ymj.2023.0208_ref21) 2005; 15 Kim (10.3349/ymj.2023.0208_ref6) 2000; 343 Beek (10.3349/ymj.2023.0208_ref20) 2003; 42 Chareonthaitawee (10.3349/ymj.2023.0208_ref1) 2005; 46 Allman (10.3349/ymj.2023.0208_ref3) 2002; 39 Romero (10.3349/ymj.2023.0208_ref8) 2012; 5 Shapiro (10.3349/ymj.2023.0208_ref10) 2010; 4 Buecker (10.3349/ymj.2023.0208_ref14) 2005; 40 Kim (10.3349/ymj.2023.0208_ref18) 1999; 100 Gerber (10.3349/ymj.2023.0208_ref22) 2012; 59 Shah (10.3349/ymj.2023.0208_ref2) 2013; 34 Thilo (10.3349/ymj.2023.0208_ref11) 2010; 18 Cerqueira (10.3349/ymj.2023.0208_ref16) 2002; 105 Sato (10.3349/ymj.2023.0208_ref19) 2012; 59 Gräni (10.3349/ymj.2023.0208_ref24) 2019; 21 Lardo (10.3349/ymj.2023.0208_ref9) 2006; 113 Shim (10.3349/ymj.2023.0208_ref15) 2009; 251 |
References_xml | – volume: 113 start-page: 394 year: 2006 ident: 10.3349/ymj.2023.0208_ref9 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.105.521450 – volume: 15 start-page: 872 year: 2005 ident: 10.3349/ymj.2023.0208_ref21 publication-title: Eur Radiol doi: 10.1007/s00330-005-2653-9 – volume: 21 start-page: 14 year: 2019 ident: 10.3349/ymj.2023.0208_ref24 publication-title: J Cardiovasc Magn Reson doi: 10.1186/s12968-019-0520-0 – volume: 46 start-page: 567 year: 2005 ident: 10.3349/ymj.2023.0208_ref1 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2005.03.072 – volume: 19 start-page: 290 year: 2009 ident: 10.3349/ymj.2023.0208_ref13 publication-title: Eur Radiol doi: 10.1007/s00330-008-1150-3 – volume: 4 start-page: 267 year: 2010 ident: 10.3349/ymj.2023.0208_ref10 publication-title: J Cardiovasc Comput Tomogr doi: 10.1016/j.jcct.2010.04.004 – volume: 39 start-page: 1151 year: 2002 ident: 10.3349/ymj.2023.0208_ref3 publication-title: J Am Coll Cardiol doi: 10.1016/S0735-1097(02)01726-6 – volume: 251 start-page: 548 year: 2009 ident: 10.3349/ymj.2023.0208_ref15 publication-title: Radiology doi: 10.1148/radiol.2512081332 – volume: 1 start-page: 30 year: 1996 ident: 10.3349/ymj.2023.0208_ref17 publication-title: Psychol Methods doi: 10.1037/1082-989X.1.1.30 – volume: 50 start-page: 1343 year: 2007 ident: 10.3349/ymj.2023.0208_ref5 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2007.06.030 – volume: 105 start-page: 539 year: 2002 ident: 10.3349/ymj.2023.0208_ref16 publication-title: Circulation doi: 10.1161/hc0402.102975 – volume: 42 start-page: 895 year: 2003 ident: 10.3349/ymj.2023.0208_ref20 publication-title: J Am Coll Cardiol doi: 10.1016/S0735-1097(03)00835-0 – volume: 5 start-page: 494 year: 2012 ident: 10.3349/ymj.2023.0208_ref8 publication-title: JACC Cardiovasc Imaging doi: 10.1016/j.jcmg.2012.02.009 – volume: 59 start-page: 730 year: 2012 ident: 10.3349/ymj.2023.0208_ref19 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2011.10.890 – volume: 59 start-page: 825 year: 2012 ident: 10.3349/ymj.2023.0208_ref22 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2011.09.073 – volume: 100 start-page: 1992 year: 1999 ident: 10.3349/ymj.2023.0208_ref18 publication-title: Circulation doi: 10.1161/01.CIR.100.19.1992 – volume: 20 start-page: 618 year: 2013 ident: 10.3349/ymj.2023.0208_ref4 publication-title: J Nucl Cardiol doi: 10.1007/s12350-013-9737-8 – volume: 34 start-page: 1323 year: 2013 ident: 10.3349/ymj.2023.0208_ref2 publication-title: Eur Heart J doi: 10.1093/eurheartj/eht018 – volume: 343 start-page: 1445 year: 2000 ident: 10.3349/ymj.2023.0208_ref6 publication-title: N Engl J Med doi: 10.1056/NEJM200011163432003 – volume: 14 start-page: 61 year: 2012 ident: 10.3349/ymj.2023.0208_ref7 publication-title: J Cardiovasc Magn Reson doi: 10.1186/1532-429X-14-61 – volume: 26 start-page: e260 year: 2019 ident: 10.3349/ymj.2023.0208_ref23 publication-title: Acad Radiol doi: 10.1016/j.acra.2018.10.019 – volume: 18 start-page: 219 year: 2010 ident: 10.3349/ymj.2023.0208_ref11 publication-title: Cardiol Rev doi: 10.1097/CRD.0b013e3181d6b87a – volume: 40 start-page: 700 year: 2005 ident: 10.3349/ymj.2023.0208_ref14 publication-title: Invest Radiol doi: 10.1097/01.rli.0000179524.58411.a2 – volume: 9 start-page: 321 year: 2015 ident: 10.3349/ymj.2023.0208_ref12 publication-title: J Cardiovasc Comput Tomogr doi: 10.1016/j.jcct.2015.04.006 |
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SubjectTerms | Aged Coronary Angiography - methods Female Humans Magnetic Resonance Imaging - methods Male Middle Aged Multidetector Computed Tomography - methods Myocardial Infarction - diagnostic imaging Myocardial Infarction - pathology Original Prospective Studies Tomography, X-Ray Computed - methods 의학일반 |
Title | Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction Patients |
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