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

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Experimental Study of Dose and Radiogenic Risk Reductions During Brain CT Angiography;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

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