|
スギモト コウヘイ
杉本 昂平 所属 川崎医療福祉大学 医療技術学部 診療放射線技術学科 職種 助教 |
|
| 論文種別 | 原著 |
| 言語種別 | 英語 |
| 査読の有無 | 査読あり |
| 表題 | Estimating the differences between inter-operator contrast enhancement in cerebral CT angiography. |
| 掲載誌名 | 正式名：Medical physics 略 称：Med Phys ISSNコード：24734209/00942405 |
| 掲載区分 | 国外 |
| 巻・号・頁 | 50(12),pp.7934-7945 |
| 著者・共著者 | Kohei Sugimoto, Yuta Fujiwara, Masataka Oita, Masahiro Kuroda |
| 担当区分 | 筆頭著者 |
| 発行年月 | 2023/12 |
| 概要 | BACKGROUND:Computed 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.PURPOSE:To assess the differences between inter-operator arterial contrast enhancement in cerebral CTA using Bayesian statistical modeling.METHODS:Image 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.RESULTS:The 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).CONCLUSIONS:The Bayesian statistical modeling results suggest that contrast enhancement of cerebral CTA examination betwee |
| DOI | 10.1002/mp.16549 |
| PMID | 37293888 |