基于双低CT扫描技术的儿童复杂先天性心脏病混合现实建模的可行性
沙金叶, 刘文源, 邹明宇北部战区总医院放射诊断科, 沈阳 110016
收稿日期:
2022-02-23出版日期:
2022-10-30发布日期:
2022-10-14通讯作者:
邹明宇E-mail:mingyu_zou@msn.com作者简介:
沙金叶(1996-),女,医师,硕士研究生.基金资助:
辽宁省自然科学基金(2019-ZD-1056)关键词: 先天性心脏病, 儿童, 双低CT扫描技术, 混合现实建模, 可行性
Abstract: Objective To explore the feasibility of applying mixed reality modeling of the heart in children with complex congenital heart disease (CCHD) using the double-low computed tomography (CT) scanning technology.Methods Clinical data were collected from 30 children with CCHD who were recommended for cardiac mixed reality modeling at our hospital from September 2019 to September 2021.This study was approved by our hospital's ethics committee,and informed consent was obtained from all patients.The patients were randomly divided into the conventional group (implementing a 100 kV tube voltage,ioversol 350 mgI/mL scanning protocol,n=15) and the double-low group (implementing an 80 kV tube voltage,iodixanol 320 mgI/mL scanning protocol,n=15) in a 1:1 ratio.Raw CT data were acquired for cardiac mixed reality modeling in both groups of patients.Contrast iodine uptake,dose length product (DLP),volume CT dose index (CTDIvol),and effective dose (ED) were recorded and calculated for both groups.The background noise (BN),signal-to-noise ratio (SNR),and contrast-to-noise ratio (CNR) were measured and calculated for both groups of images.The mixed reality modeling quality results were subjectively evaluated on a 4-point scale.Results The DLP,CTDIvol,and ED were significantly lower in the double-low group than in the conventional group (P < 0.05).There were no significant differences in BN,SNR,CNR,or the subjective scores of the mixed reality heart model between the two groups (P > 0.05).Conclusion Successful mixed reality modeling of the heart in children with CCHD was performed based on double-low CT scanning techniques.The model achieves the clinical requirements for image quality while reducing the contrast iodine dose and scanning radiation dose.
Key words: congenital heart disease, children, double-low computed tomography scanning technology, mixed reality modeling, feasibility
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