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[Comparison of Bayesian Estimation and SVD Methods for CT Perfusion in Patients with Acute Stroke].
Morishita, Takeshi; Tanabe, Nobuaki; Masuo, Osamu; Hashimoto, Akihiro; Okubo, Hide; Ezaki, Kotone; Umesaki, Arisa; Takase, Kana; Toda, Hiroyuki.
Affiliation
  • Morishita T; Department of Radiology, Yokohama Municipal Citizen's Hospital.
  • Tanabe N; Department of Radiology, Yokohama Municipal Citizen's Hospital.
  • Masuo O; Department of Cerebrovascular Treatment, Yokohama Municipal Citizen's Hospital.
  • Hashimoto A; Department of Radiology, Yokohama Municipal Citizen's Hospital.
  • Okubo H; Department of Radiology, Yokohama Municipal Citizen's Hospital.
  • Ezaki K; Department of Radiology, Yokohama Municipal Citizen's Hospital.
  • Umesaki A; Department of Cerebrovascular Treatment, Yokohama Municipal Citizen's Hospital.
  • Takase K; Department of Cerebrovascular Treatment, Yokohama Municipal Citizen's Hospital.
  • Toda H; Department of Radiology, Yokohama Municipal Citizen's Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi ; 79(4): 307-312, 2023 Apr 20.
Article in Ja | MEDLINE | ID: mdl-36792207
ABSTRACT

PURPOSE:

There are various analysis methods for CT perfusion (CTP). Although the advantages of Bayesian estimation algorithms have been newly suggested, comparisons with other analysis methods on clinical data are still limited. In this study, we compared the Bayesian estimation method with the singular value decomposition (SVD) method in the evaluation of patients with acute cerebral infarction and examined its usefulness.

METHODS:

CTP data from 13 patients with acute stroke were analyzed using the SVD and Bayesian estimation methods implemented in Vitrea. Evaluation of visual clarity of the ischemic area and quantitative values of the healthy side-affected side ratio using the mean values of the left and right region of interest (ROI) on the images were compared using the SVD and Bayesian estimation methods.

RESULTS:

In visual evaluation, there were significant differences in CBV in four cases, and in CBF, MTT, and TTP in many cases. The healthy side-affected side ratio of the SVD and Bayesian estimation methods were as follows CBF 1.19, 1.84; CBV 1.09, 1.02; MTT 1.12, 1.79; and TTP 1.48, 1.19. For CBF and MTT, the Bayesian estimation method had a larger ratio of the healthy side to the affected side, and for TTP, the SVD method had a larger ratio of the test side to the affected side.

CONCLUSION:

We suggest that the Bayesian estimation method is more useful than the SVD method for assessing CBF and MTT in CTP analysis of patients with acute stroke.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Ischemia / Stroke Limits: Humans Language: Ja Journal: Nihon Hoshasen Gijutsu Gakkai Zasshi Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Ischemia / Stroke Limits: Humans Language: Ja Journal: Nihon Hoshasen Gijutsu Gakkai Zasshi Year: 2023 Document type: Article