Your browser doesn't support javascript.
loading
A Bayesian estimation method for cerebral blood flow measurement by area-detector CT perfusion imaging.
Murayama, Kazuhiro; Smit, Ewoud J; Prokop, Mathias; Ikeda, Yoshihiro; Fujii, Kenji; Nakahara, Ichiro; Hanamatsu, Satomu; Katada, Kazuhiro; Ohno, Yoshiharu; Toyama, Hiroshi.
Afiliación
  • Murayama K; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho Toyoake, Aichi, 470-1101, Japan. kmura@fujita-hu.ac.jp.
  • Smit EJ; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
  • Prokop M; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
  • Ikeda Y; Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara, Tochigi, 325-8550, Japan.
  • Fujii K; Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara, Tochigi, 325-8550, Japan.
  • Nakahara I; Department of Comprehensive Strokology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho Toyoake, Aichi, 470-1101, Japan.
  • Hanamatsu S; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho Toyoake, Aichi, 470-1101, Japan.
  • Katada K; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho Toyoake, Aichi, 470-1101, Japan.
  • Ohno Y; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho Toyoake, Aichi, 470-1101, Japan.
  • Toyama H; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho Toyoake, Aichi, 470-1101, Japan.
Neuroradiology ; 65(1): 65-75, 2023 Jan.
Article en En | MEDLINE | ID: mdl-35851924
PURPOSE: Bayesian estimation with advanced noise reduction (BEANR) in CT perfusion (CTP) could deliver more reliable cerebral blood flow (CBF) measurements than the commonly used reformulated singular value decomposition (rSVD). We compared the efficacy of CBF measurement by CTP using BEANR and rSVD, evaluating both relative to N-isopropyl-p-[(123) I]- iodoamphetamine (123I-IMP) single-photon emission computed tomography (SPECT) as a reference standard, in patients with cerebrovascular disease. METHODS: Thirty-one patients with suspected cerebrovascular disease underwent both CTP on a 320 detector-row CT system and SPECT. We applied rSVD and BEANR in the ischemic and contralateral regions to create CBF maps and calculate CBF ratios from the ischemic side to the healthy contralateral side (CBF index). The analysis involved comparing the CBF index between CTP methods and SPECT using Pearson's correlation and limits of agreement determined with Bland-Altman analyses, before comparing the mean difference in the CBF index between each CTP method and SPECT using the Wilcoxon matched pairs signed-rank test. RESULTS: The CBF indices of BEANR and 123I-IMP SPECT were significantly and positively correlated (r = 0.55, p < 0.0001), but there was no significant correlation between the rSVD method and SPECT (r = 0.15, p > 0.05). BEANR produced smaller limits of agreement for CBF than rSVD. The mean difference in the CBF index between BEANR and SPECT differed significantly from that between rSVD and SPECT (p < 0.001). CONCLUSIONS: BEANR has a better potential utility for CBF measurement in CTP than rSVD compared to SPECT in patients with cerebrovascular disease.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos Cerebrovasculares Límite: Humans Idioma: En Revista: Neuroradiology Año: 2023 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos Cerebrovasculares Límite: Humans Idioma: En Revista: Neuroradiology Año: 2023 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Alemania