High Temporal Resolution Dual-Source Photon-Counting CT for Coronary Artery Disease: Initial Multicenter Clinical Experience

Author:

Soschynski Martin,Hagen FlorianORCID,Baumann Stefan,Hagar Muhammad Taha,Weiss Jakob,Krauss Tobias,Schlett Christopher L.,von zur Mühlen Constantin,Bamberg Fabian,Nikolaou KonstantinORCID,Greulich Simon,Froelich Matthias F.ORCID,Riffel Philipp,Overhoff DanielORCID,Papavassiliu Theano,Schoenberg Stefan O.,Faby SebastianORCID,Ulzheimer StefanORCID,Ayx Isabelle,Krumm PatrickORCID

Abstract

The aim of this paper is to evaluate the diagnostic image quality of spectral dual-source photon-counting detector coronary computed tomography angiography (PCD-CCTA) for coronary artery disease in a multicenter study. The image quality (IQ), assessability, contrast-to-noise ratio (CNR), Agatston score, and radiation exposure were measured. Stenoses were quantified and compared with invasive coronary angiography, if available. A total of 92 subjects (65% male, age 58 ± 14 years) were analyzed. The prevalence of significant coronary artery disease (CAD) (stenosis ≥ 50%) was 17% of all patients, the range of the Agatston score was 0–2965 (interquartile range (IQR) 0–135). The IQ was very good (one, IQR one–two), the CNR was very high (20 ± 10), and 5% of the segments were rated non-diagnostic. The IQ and assessability were higher in proximal coronary segments (p < 0.001). Agatston scores up to 600 did not significantly affect the assessability of the coronary segments (p = 0.3). Heart rate influenced assessability only at a high-pitch mode (p = 0.009). For the invasive coronary angiography (ICA) subgroup (n = nine), the diagnostic performance for CAD per segment was high (sensitivity 92%, specificity 96%), although the limited number of patients who underwent both diagnostic modalities limits the generalization of this finding at this stage. PCD-CCTA provides good image quality for low and moderate levels of coronary calcifications.

Funder

Gesundheitsstandort Baden-Württemberg

Publisher

MDPI AG

Subject

General Medicine

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