Differentiating Macrovascular and Microvascular Ischemia Using Fractal Analysis of Dynamic Myocardial Perfusion Stress-CT.

Invest Radiol

From the Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany (F.M., M.D.); Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan (F.M., K.K.); Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan (S.N., H.S.); Department of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan (T.K.); Department of Advanced MRI Collaborative Research, Tohoku University Graduate School of Medicine, Sendai, Japan (H.O.); Department of Cardiology, Tohoku University Graduate School of Medicine, Sendai, Japan (K.N.); Saiseikai Matsuyama Hospital, Matsuyama, Japan (R.O.); Takasaki General Medical Center, Takasaki, Japan (T.S.); National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan (H.N.); Peking Union Medical College Hospital, Beijing, China (Y.-N.W.); Kobe University Graduate School of Medicine, Kobe, Japan (T.I.); German Center for Cardiovascular Research, Berlin, Germany (M.D.); and Deutsches Herzzentrum der Charité (M.D.), Berlin, Germany.

Published: May 2024

Objectives: Fractal analysis of dynamic myocardial stress computed tomography perfusion imaging (4D-CTP) has shown potential to noninvasively differentiate obstructive coronary artery disease (CAD) and coronary microvascular disease (CMD). This study validates fractal analysis of 4D-CTP in a multicenter setting and assesses its diagnostic accuracy in subgroups with ischemia and nonobstructed coronary arteries (INOCA) and with mild to moderate stenosis.

Materials And Methods: From the AMPLIFiED multicenter trial, patients with suspected or known chronic myocardial ischemia and an indication for invasive coronary angiography were included. Patients underwent dual-source CT angiography, 4D-CTP, and CT delayed-enhancement imaging. Coronary artery disease, CMD, and normal perfusion were defined by a combined reference standard comprising invasive coronary angiography with fractional flow reserve, and absolute or relative CT-derived myocardial blood flow. Nonobstructed coronary arteries were defined as ≤25% stenosis and mild to moderate stenosis as 26%-80%.

Results: In 127 patients (27% female), fractal analysis accurately differentiated CAD (n = 61, 23% female), CMD (n = 23, 30% female), and normal perfusion (n = 34, 35% female) with a multiclass area under the receiver operating characteristic curve (AUC) of 0.92 and high agreement (multiclass κ = 0.89). In patients with ischemia (n = 84), fractal analysis detected CAD (n = 61) over CMD (n = 23) with sensitivity of 95%, specificity of 74%, accuracy of 89%, and AUC of 0.83. In patients with nonobstructed coronary arteries (n = 33), INOCA (n = 15) was detected with sensitivity of 100%, specificity of 78%, accuracy of 88%, and AUC of 0.94. In patients with mild to moderate stenosis (n = 27), fractal analysis detected CAD (n = 19) over CMD with sensitivity of 84%, specificity of 100%, accuracy of 89%, and AUC of 0.95.

Conclusions: In this multicenter study, fractal analysis of 4D-CTP accurately differentiated CAD and CMD including subgroups with INOCA and with mild to moderate stenosis.

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http://dx.doi.org/10.1097/RLI.0000000000001027DOI Listing

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