Feasibility of Building a Model For Predicting the Objective Image Quality of Third-generation High-pitch Dual-source Coronary CT Angiography
QIU Taichun
LIANG Chunxiao
WANG Qi
ZHENG Yongji
XIE Dongmei
MING Bing
ZOU Qing
Abstract：Objective:To analyze the factors affecting the objective image quality of third-generation high-pitch dual-source coronary CT angiography,optimize the scanning protocol to enhance image quality,and reduce radiation dose and iodine intake.Methods:A total of 684 consecutive patients who underwent third-generation high-pitch dual-source coronary CT angiography were divided into two groups based on objective image quality(poor or good).Differences in basic clinical information and scanning parameters between the two groups were analyzed,and a prediction model was developed.Results:Significant differences were observed between the two groups in body mass index(BMI),contrast concentration,contrast dosage,injection rate,and tube voltage.A binary logistic regression model was constructed,yielding a sensitivity of 61.32%and a specificity of 83.54%.The model was further transformed into a nomogram prediction model.Conclusion:Individualized scanning protocols for third-generation high-pitch dual-source coronary CT angiography can help achieve high-quality imaging while minimizing radiation dose and iodine intake.
Keywords：tomographyX-ray computedcoronary arteryimage qualityprediction model
Publication Date：2025-11-30
Online Publishing Date：2025-12-19(First online date of this platform, not the publication date of the document)
Pages：6( 1114-1119 )