Estimating the differences between inter‐operator contrast enhancement in cerebral CT angiography

Author:

Sugimoto Kohei12,Fujiwara Yuta3,Oita Masataka4,Kuroda Masahiro5

Affiliation:

1. Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University Okayama Japan

2. Divisions of Imaging Technology Okayama Diagnostic Imaging Center Okayama Japan

3. Division of Clinical Radiology Service Okayama Central Hospital Okayama Japan

4. Department of Healthcare Science Faculty of Interdisciplinary Science and Engineering in Health Systems Okayama University Okayama Japan

5. Department of Radiological Technology Graduate School of Health Sciences Okayama University Okayama Japan

Abstract

AbstractBackgroundComputed tomography (CT) angiography (CTA) is a non‐invasive imaging method used to detect arteries and examine various brain diseases. When CTA is performed for follow‐up or postoperative evaluation, reproducibility of vessel delineation is required. A reproducible and stable contrast enhancement can be achieved by manipulating the factors affecting it. Previous studies have investigated several factors that alter the contrast enhancement of arteries. However, no reports establishing the effect of different operators on contrast enhancement exist.PurposeTo assess the differences between inter‐operator arterial contrast enhancement in cerebral CTA using Bayesian statistical modeling.MethodsImage data were obtained using a multistage sampling method from the cerebral CTA scans of patients who underwent the process between January 2015 and December 2018. Several Bayesian statistical models were developed, and the objective variable was the mean CT number of the bilateral internal carotid arteries after contrast enhancement. The explanatory variables were sex, age, fractional dose (FD), and the operator's information. The posterior distributions of the parameters were computed via Bayesian inference using the Markov chain Monte Carlo (MCMC) method, with the Hamiltonian Monte Carlo method employed as the algorithm. The posterior predictive distributions were computed using the posterior distributions of the parameters. Finally, the differences between inter‐operator arterial contrast enhancement on the CT number in cerebral CTA were estimated.ResultsThe posterior distributions showed that all parameters representing the difference between operators included zero at the 95% credible intervals (CIs). The maximum mean difference between inter‐operator CT number in the posterior predictive distribution was only 12.59 Hounsfield units (HUs).ConclusionsThe Bayesian statistical modeling results suggest that contrast enhancement of cerebral CTA examination between operator‐to‐operator differences in postcontrast CT number was small compared to those within‐operator differences resulting from factors not considered in the model.

Publisher

Wiley

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3