Background: Machine-learning-based computed-tomography-derived fractional flow reserve (CT-FFR ML ) obtains a hemodynamic index in coronary arteries. We examined whether it could reduce the number of invasive coronary angiographies (ICA) showing no obstructive lesions. We further compared CT-FFR ML -derived measurements to clinical and CT-derived scores. Methods: We retrospectively selected 88 patients (63 ± 11years, 74% male) with chronic coronary syndrome (CCS) who underwent clinically indicated coronary computed tomography angiography (cCTA) and ICA. cCTA image data were processed with an on-site prototype CT-FFR ML software. Results: CT-FFR ML revealed an index of >0.80 in coronary vessels of 48 (55%) patients. This finding was corroborated in 45 (94%) patients by ICA, yet three (6%) received revascularization. In patients with an index ≤ 0.80, three (8%) of 40 were identified as false positive. A total of 48 (55%) patients could have been retained from ICA. CT-FFR ML (AUC = 0.96, p ≤ 0.0001) demonstrated a higher diagnostic accuracy compared to the pretest probability or CT-derived scores and showed an excellent sensitivity (93%), specificity (94%), positive predictive value (PPV; 93%) and negative predictive value (NPV; 94%). Conclusion: CT-FFR ML could be beneficial for clinical practice, as it may identify patients with CAD without hemodynamical significant stenosis, and may thus reduce the rate of ICA without necessity for coronary intervention. Keywords: atherosclerosis; coronary artery disease; coronary physiology; coronary CT angiography; fractional flow reserve; CT derived fractional flow reserve; non-invasive test; revascularization J. Clin. Med. 2019, 8, x FOR PEER REVIEW 7 of 16 240 Figure 3. Study Flow-Chart. CT-FFR = CT-derived fractional flow reserve, cCTA = coronary computed 241 tomography angiography, ICA = invasive coronary angiography, CAD = coronary artery disease, 242 CABG = coronary artery bypass graft.243 3.2. Risk Stratification
244The Agatston score as well as the comprehensive CTA score differed significantly between the 245 revascularized and not-revascularized group (p=0.0467, p=0.0324) (Table 2). Logistic regression 246 analysis revealed that neither the pretest-probability (AUC=0.578; p=0.3212), the Agatston score 247 (AUC=0.631; p=0.1448) nor the comprehensive CTA score (AUC=0.633; p=0.0158) demonstrated a 248 sufficient diagnostic accuracy regarding revascularization ( Figure 4). In view of the Agatston score,
249the average value of the vessel of interest (≥50% diameter stenosis) was 218 ±257. The mean ratio of 250 the Agatston score of the vessel of interest and the total score was 0.58. In our population, the newly 251 developed comprehensive cCTA score achieved a mean value of 9.7 ±5.5. Fourteen patients had a