Comparative examination of the pons and corpus callosum as reference regions for quantitative evaluation in positron emission tomography imaging for Alzheimer’s disease using 11C-Pittsburgh Compound-B

Tomohiro Tada, Kazuhiro Hara, Naotoshi Fujita, Yoshinori Ito, Hiroshi Yamaguchi, Reiko Ohdake, Kazuya Kawabata, Aya Ogura, Toshiyasu Kato, Takamasa Yokoi, Michihito Masuda, Shinji Abe, Shinichi Miyao, Shinji Naganawa, Masahisa Katsuno, Hirohisa Watanabe, Gen Sobue, Katsuhiko Kato

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: Standardised uptake value ratio (SUVR) is usually obtained by dividing the SUV of the region of interest (ROI) by that of the cerebellar cortex. Cerebellar cortex is not a valid reference in cases where amyloid β deposition or lesions are present. Only few studies have evaluated the use of other regions as references. We compared the validity of the pons and corpus callosum as reference regions for the quantitative evaluation of brain positron emission tomography (PET) using 11C-PiB compared to the cerebellar cortex. Methods: We retrospectively evaluated data from 86 subjects with or without Alzheimer’s disease (AD). All subjects underwent magnetic resonance imaging, PET imaging, and cognitive function testing. For the quantitative analysis, three-dimensional ROIs were automatically placed, and SUV and SUVR were obtained. We compared these values between AD and healthy control (HC) groups. Results: SUVR data obtained using the pons and corpus callosum as reference regions strongly correlated with that using the cerebellar cortex. The sensitivity and specificity were high when either the pons or corpus callosum was used as the reference region. However, the SUV values of the corpus callosum were different between AD and HC (p < 0.01). Conclusions: Our data suggest that the pons and corpus callosum might be valid reference regions.

Original languageEnglish
Pages (from-to)410-418
Number of pages9
JournalAnnals of Nuclear Medicine
Volume37
Issue number7
DOIs
Publication statusPublished - 07-2023

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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