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Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease

Authors :
Nous, Fay M A
Geisler, Tobias
Kruk, Mariusz B P
Alkadhi, Hatem
Kitagawa, Kakuya
Vliegenthart, Rozemarijn
Hell, Michaela M
Hausleiter, Jörg
Nguyen, Patricia K
Budde, Ricardo P J
Nikolaou, Konstantin
Kepka, Cezary
Manka, Robert
Sakuma, Hajime
Malik, Sachin B
Coenen, Adriaan
Zijlstra, Felix
Klotz, Ernst
van der Harst, Pim
Artzner, Christoph
Dedic, Admir
Pugliese, Francesca
Bamberg, Fabian
Nieman, Koen
Nous, Fay M A
Geisler, Tobias
Kruk, Mariusz B P
Alkadhi, Hatem
Kitagawa, Kakuya
Vliegenthart, Rozemarijn
Hell, Michaela M
Hausleiter, Jörg
Nguyen, Patricia K
Budde, Ricardo P J
Nikolaou, Konstantin
Kepka, Cezary
Manka, Robert
Sakuma, Hajime
Malik, Sachin B
Coenen, Adriaan
Zijlstra, Felix
Klotz, Ernst
van der Harst, Pim
Artzner, Christoph
Dedic, Admir
Pugliese, Francesca
Bamberg, Fabian
Nieman, Koen
Source :
Nous, Fay M A; Geisler, Tobias; Kruk, Mariusz B P; Alkadhi, Hatem; Kitagawa, Kakuya; Vliegenthart, Rozemarijn; Hell, Michaela M; Hausleiter, Jörg; Nguyen, Patricia K; Budde, Ricardo P J; Nikolaou, Konstantin; Kepka, Cezary; Manka, Robert; Sakuma, Hajime; Malik, Sachin B; Coenen, Adriaan; Zijlstra, Felix; Klotz, Ernst; van der Harst, Pim; Artzner, Christoph; Dedic, Admir; Pugliese, Francesca; Bamberg, Fabian; Nieman, Koen (2022). Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC : Cardiovascular Imaging, 15(1):75-87.
Publication Year :
2022

Abstract

OBJECTIVES In this international, multicenter study, using third-generation dual-source computed tomography (CT), we investigated the diagnostic performance of dynamic stress CT myocardial perfusion imaging (CT-MPI) in addition to coronary CT angiography (CTA) compared to invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR). BACKGROUND CT-MPI combined with coronary CTA integrates coronary artery anatomy with inducible myocardial ischemia, showing promising results for the diagnosis of hemodynamically significant coronary artery disease in single-center studies. METHODS At 9 centers in Europe, Japan, and the United States, 132 patients scheduled for ICA were enrolled; 114 patients successfully completed coronary CTA, adenosine-stress dynamic CT-MPI, and ICA. Invasive FFR was performed in vessels with 25% to 90% stenosis. Data were analyzed by independent core laboratories. For the primary analysis, for each coronary artery the presence of hemodynamically significant obstruction was interpreted by coronary CTA with CT-MPI compared to coronary CTA alone, using an FFR of ≤0.80 and angiographic severity as reference. Territorial absolute myocardial blood flow (MBF) and relative MBF were compared using C-statistics. RESULTS ICA and FFR identified hemodynamically significant stenoses in 74 of 289 coronary vessels (26%). Coronary CTA with ≥50% stenosis demonstrated a per-vessel sensitivity, specificity, and accuracy for the detection of hemodynamically significant stenosis of 96% (95% CI: 91-100), 72% (95% CI: 66-78), and 78% (95% CI: 73-83), respectively. Coronary CTA with CT-MPI showed a lower sensitivity (84%; 95% CI: 75-92) but higher specificity (89%; 95% CI: 85-93) and accuracy (88%; 95% CI: 84-92). The areas under the receiver-operating characteristic curve of absolute MBF and relative MBF were 0.79 (95% CI: 0.71-0.86) and 0.82 (95% CI: 0.74-0.88), respectively. The median dose-length product of CT-MPI and coronary CTA were 313 mGy·cm and 13

Details

Database :
OAIster
Journal :
Nous, Fay M A; Geisler, Tobias; Kruk, Mariusz B P; Alkadhi, Hatem; Kitagawa, Kakuya; Vliegenthart, Rozemarijn; Hell, Michaela M; Hausleiter, Jörg; Nguyen, Patricia K; Budde, Ricardo P J; Nikolaou, Konstantin; Kepka, Cezary; Manka, Robert; Sakuma, Hajime; Malik, Sachin B; Coenen, Adriaan; Zijlstra, Felix; Klotz, Ernst; van der Harst, Pim; Artzner, Christoph; Dedic, Admir; Pugliese, Francesca; Bamberg, Fabian; Nieman, Koen (2022). Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC : Cardiovascular Imaging, 15(1):75-87.
Notes :
application/pdf, info:doi/10.5167/uzh-206956, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1443040031
Document Type :
Electronic Resource