High scan-rescan repeatability of AI-enabled coronary plaque quantification from coronary CT angiography
摘要
To evaluate the reproducibility of plaque quantification from serial cardiac computed tomography (CCTA) scans by a systematic side-by-side approach using validated AI-enabled software with both scan-specific and fixed attenuation thresholds.
Materials and methodsThirty participants from two centers underwent serial CCTA within a short timeframe (median 6 days [IQR 0–30]). Volumes and burden (defined as plaque volume indexed by vessel volume) of total plaque (TP), calcified plaque (CP), non-calcified plaque (NCP), and low-density NCP (LD-NCP) were quantified per-patient while comparing the serial scans side-by-side. Analyses were done by two assessors using consensus readings to reduce individual bias, and inter-scan differences were compared using mean differences and the repeatability coefficient (RC, defined as 1.96 × standard deviation).
ResultsMean age was 59 years (70% male). Median TP volume was 159 mm3 (IQR 81–160) with a dominance of NCP, 88 mm3 (IQR 42–143). Intraclass correlation coefficients were excellent across all plaque metrics (≥ 0.96). Mean absolute difference between scans was 15.0 mm3 for TP volume, 1.5% for TP burden (RC 25.5 mm3 and 2.6%). Mean differences for CP, NCP, and LD-NCP volumes were 6.8, 11.1, and 2.3 mm3 (RC: 14.8, 21.7, and 5.1 mm3), and for burden 0.6%, 1.2%, and 0.3% for CP, NCP, and LD-NCP, respectively (RC: 1.3%, 2.4%, and 0.8%). Scan-specific thresholds presented with lower repeatability coefficients and narrower limits of agreement than fixed thresholds.
ConclusionScan-rescan reproducibility was high across all plaque subcomponents for serial plaque quantification using a systematic assessment method and scan-specific attenuation thresholds with AI-enabled plaque software.
Key Points