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Noninvasive stress testing is commonly used for detection of coronary ischemia but possesses variable accuracy and may result in excessive health care costs. This study aimed to derive and validate an artificial intelligence-guided quantitative coronary computed tomography angiography (AI-QCT) model for the diagnosis of coronary ischemia that integrates atherosclerosis and vascular morphology measures (AI-QCT ISCHEMIA) and to evaluate its prognostic utility for major adverse cardiovascular events (MACE). A post hoc analysis of the CREDENCE (Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia) and PACIFIC-1 (Comparison of Coronary Computed Tomography Angiography, Single Photon Emission Computed Tomography [SPECT], Positron Emission Tomography [PET], and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve) studies was performed. In both studies, symptomatic patients with suspected stable coronary artery disease had prospectively undergone coronary computed tomography angiography (CTA), myocardial perfusion imaging (MPI), SPECT, or PET, fractional flow reserve by CT (FFR CT), and invasive coronary angiography in conjunction with invasive FFR measurements. The AI-QCT ISCHEMIA model was developed in the derivation cohort of the CREDENCE study, and its diagnostic performance for coronary ischemia (FFR ≤0.80) was evaluated in the CREDENCE validation cohort and PACIFIC-1. Its prognostic value was investigated in PACIFIC-1. In CREDENCE validation (n = 305, age 64.4 ± 9.8 years, 210 [69%] male), the diagnostic performance by area under the receiver-operating characteristics curve (AUC) on per-patient level was 0.80 (95% CI: 0.75-0.85) for AI-QCT ISCHEMIA , 0.69 (95% CI: 0.63-0.74; P < 0.001) for FFR CT , and 0.65 (95% CI: 0.59-0.71; P < 0.001) for MPI. In PACIFIC-1 (n = 208, age 58.1 ± 8.7 years, 132 [63%] male), the AUCs were 0.85 (95% CI: 0.79-0.91) for AI-QCT ISCHEMIA , 0.78 (95% CI: 0.72-0.84; P = 0.037) for FFR CT , 0.89 (95% CI: 0.84-0.93; P = 0.262) for PET, and 0.72 (95% CI: 0.67-0.78; P < 0.001) for SPECT. Adjusted for clinical risk factors and coronary CTA-determined obstructive stenosis, a positive AI-QCT ISCHEMIA test was associated with aHR: 7.6 (95% CI: 1.2-47.0; P = 0.030) for MACE. This newly developed coronary CTA-based ischemia model using coronary atherosclerosis and vascular morphology characteristics accurately diagnoses coronary ischemia by invasive FFR and provides robust prognostic utility for MACE beyond presence of stenosis. [Display omitted] [ABSTRACT FROM AUTHOR]

Objectives: This study hypothesized that 1H magnetic resonance spectroscopy (1H-MRS) can identify carotid plaque cholesteryl ester in vivo in humans. Background: Liquid phase cholesteryl ester comprises a major fraction of atherosclerotic plaque, and its abundance is associated with plaque rupture and atherothrombosis. A noninvasive imaging technique to detect liquid cholesteryl ester that has been applied ex vivo is now demonstrated in vivo. Methods: 1H-MRS scans were obtained of carotid plaques of 35 subjects at 3.0 T. Turbo spin echo, black blood, T1-weighted images were acquired for localization. Spectra were acquired using a 2-dimensional point resolved spectroscopy sequence: repetition time/echo time = 1,100/30 ms, 5-mm slice thickness, 8 × 8-cm field of view, 16 × 16 matrix size, and 13-min acquisition time. Saturation bands were placed around the artery. Resonance of methylene protons and allylic methylene protons were assigned to 1.2 ppm and 2.0 ppm. The 2.0:1.2 ppm ratio was calculated to reflect the ratio of the fatty acid composition of plaque cholesteryl ester to that of triglycerides of perivascular tissue. We obtained spectra of lipid standards as a reference. Results: Our 1H-MRS data showed typical spectra of cholesteryl ester mixed with triglycerides, with intense resonance from methylene (1.2 ppm) and allylic methylene (2.0 ppm) protons. The average 2.0:1.2 ppm ratio was 0.10 ± 0.03. The 2.0:1.2 ppm ratio correlated with the plaque tissue volume to perivascular tissue volume ratio (Spearman rho = 0.55, p = 0.02), suggesting that more 1H-MRS signal was obtained from cholesteryl ester when the 1H-MRS voxel comprised more plaque tissue. Repeat 1H-MRS scans in 4 subjects showed an intraclass correlation coefficient of 0.92 (95% prediction intervals: 0.40 to 0.99), indicating good reproducibility. Seventeen of the 35 1H-MRS spectra were of adequate quality for analysis. Conclusions: In vivo image-guided 1H-MRS for detection of liquid phase cholesteryl ester in carotid atherosclerotic plaques in humans is feasible. [Copyright &y& Elsevier]