Improving image quality and diagnostic usability in photon-counting coronary CT angiography using a novel...

Area of Science:

• Medical Imaging
• Radiology
• Cardiovascular Imaging

Background:

• Photon-counting CT scanners offer advanced capabilities for cardiovascular imaging.
• Coronary CT angiography (cCTA) is crucial for diagnosing coronary artery disease.
• Image reconstruction algorithms play a vital role in optimizing cCTA image quality.

Purpose of the Study:

• To qualitatively compare the image quality and diagnostic usability of the ZeeFree (ZF) reconstruction algorithm.
• To evaluate ZF against Standard (SD) and TrueStack (TS) algorithms in photon-counting cCTA.
• To assess the clinical utility of novel reconstruction techniques in cCTA.

Main Methods:

• Retrospective analysis of 59 patients undergoing photon-counting cCTA.
• Reconstruction of curved planar reformations using ZF, SD, and TS algorithms.
• Evaluation of image quality and diagnostic usability by three blinded radiologists using Likert scales and dichotomous assessments.

Main Results:

• The ZeeFree (ZF) algorithm demonstrated superior image quality compared to SD and TS algorithms (p < 0.001).
• ZF achieved higher diagnostic usability (82.5%) than SD (77.0%) and TS (75.5%) (p < 0.001).
• Substantial to almost perfect inter-rater agreement was observed for all evaluated metrics.

Conclusions:

• The novel ZF reconstruction algorithm significantly enhances image quality and diagnostic usability for photon-counting cCTA.
• ZF shows potential for primary clinical use in assessing coronary arteries.
• Improved image quality with ZF may lead to more accurate diagnoses of coronary artery disease.