医学
膈式呼吸
放射科
工件(错误)
核医学
心脏宠物
计算机断层血管造影
对比度(视觉)
血管造影
正电子发射断层摄影术
病理
计算机科学
生物
人工智能
神经科学
替代医学
作者
Paul M. Bunch,Urvi P. Fulwadhva,Jeremy R. Wortman,Andrew N. Primak,Rachna Madan,Michael L. Steigner,Aaron D. Sodickson
出处
期刊:Journal of Computer Assisted Tomography
[Ovid Technologies (Wolters Kluwer)]
日期:2018-04-03
卷期号:42 (4): 623-629
被引量:6
标识
DOI:10.1097/rct.0000000000000736
摘要
Purpose The purpose of this study was to compare quantitative and qualitative measures of aortic, cardiac, and respiratory motion artifact between high-pitch dual-source (DS) and single-source (SS) computed tomography pulmonary angiography (CTPA) protocols. Methods This institutional review board–approved, Health Insurance Portability and Accountability Act–compliant study retrospectively reviewed 80 non–electrocardiogram-gated CTPA examinations acquired with a second-generation DS system at 100 kVp following 50 mL iodinated contrast injection — 40 consecutive SS and 40 consecutive DS studies. Quantitative measures of aortic, left ventricular, and diaphragmatic motion were recorded as the maximal excursion of a structure's “double image,” and 3 independent readers performed qualitative motion assessments. Pulmonary arterial contrast enhancement, image noise, and radiation dose metrics were recorded. Statistical analyses were performed with 1-way analysis of variance and Fisher exact test. Results Dual source outperformed SS technique in both quantitative and qualitative measures of motion. Mean distances between motion-artifact double images were reduced with DS protocol at each location (all P ≤ 0.004), and DS examinations were more likely to receive an assessment of no motion in all locations (all P < 0.0001). The DS protocol demonstrated increases in contrast enhancement, although increased image noise resulted in lower enhancement to noise ratio. Mean radiation dose was 60% lower using the DS protocol. Conclusion High-pitch DS CTPA significantly reduces artifacts resulting from ascending aortic, cardiac, and diaphragmatic motion.
科研通智能强力驱动
Strongly Powered by AbleSci AI