Coronary CT angiography using photon counting CT for the detection of coronary artery stenoses and coronary atherosclerotic plaque: comparison of reconstructions with 0.2 mm and 0.4 mm slice thickness

Abstract

Listen

Translate article

Abstract Photon Counting CT allows the acquisition of high-resolution data sets with 0.2 mm reconstructed slice thickness. It is unknown whether the detection of coronary artery stenoses, of coronary plaque or of vulnerable plaque characteristics is improved in data sets that employ maximum resolution. We therefore compared the identification of above characteristics in data sets reconstructed with 0.2 mm and 0.4 mm slice thickness In 30 patients with suspected coronary artery disease, sinus rhythm, a heart rate ≤65 beats/min, and body weight ≤ 100 kg, high-resolution data sets were acquired by photon counting CT (60 ml contrast i.v. at 6 ml/s) after s.c. application of nitrates in inspiratory breathhold. Data were reconstructed with 0.2 mm slice thickness at 0.1 mm increment and 0.4 mm slice thickness at 0.2 mm increment. Next to quantitative analysis of image quality parameters, all data sets were evaluated by two independent expert reviewers concerning subjective image quality as well as the ability to determine the presence of coronary artery stenoses, calcified and non- calcified plaque, as well as parameters of plaque vulnerability (positive remodeling, necrotic core, density < 30 HU and napkin-ring sign) using a 5-point Likert scale (-2 to +2) and a dedicated 11-segment coronary model. Of the 30 patients, 47% were male (mean age 58±12 years, mean heart rate 53±6 bpm, mean body weight 80±15 kg). The median dose length product was 508 mGy*cm. Mean image noise was 42±7 HU vs. 34±7 HU for 0.2 mm vs. 0.4 mm reconstructions (p < 0.001). The median image quality score was significantly higher for 0.2 mm reconstructions (3.8±0.8 vs 3.6±0.7). Of 335 coronary segments, none were classified as "unevaluable" while 87% vs. 76% were classified as "perfect" in 0.2 mm vs. 0.4 mm reconstructions (p < 0.001). Full confidence to rule-in or rule out significant coronary stenoses was achieved in 93% of segments in both reconstructions. The number of non-calcified plaques identified in 0.2 mm reconstructions was numerically higher than in 0.4 mm reconstructions (77 vs. 71, p = n.s.). On the Likert scale, the confidence to identify parameters of plaque vulnerability was significantly higher for 0.2 mm reconstructions (1.93 vs. 1.85, p < 0.001). In a selected patient group, photon counting CT coronary angiography demonstrated excellent image quality and an extremely low rate of unevaluable coronary segments. High-resolution reconstructions improve subjective image quality as was as the assessment of vulnerable plaque characteristics.