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This study aims to validate the utility of the new method compared with conventional visual and SUVR-based quantitative evaluation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A retrospective analysis was performed on amyloid PET\/CT data from 63 participants (25 healthy volunteers, 38 patients with dementia or cognitive impairment) of previous study using\n                      <jats:sup>18<\/jats:sup>\n                      F-FPYBF-2. Subjects were visually classified into three groups: negative, borderline, and positive, and quantitatively evaluated using composed standardized uptake value (comSUVR) with a reference to cerebellar cortex. Histograms were generated for the whole-brain, gray matter (GM-histogram), and white matter (WM-histogram) based on probability-tissue maps. The GM-histogram was further decomposed into two Gaussian components: G1 and G2\u3000using statistical software. Parameters of whole-brain histogram: skewness, mode-to-mean ratio (MMR), and parameters of GM-histogram: GM-kurtosis, \u00b5G2 (mean of G2), and \u03c0G2 (proportion of G2), were compared among visual groups and the correlation with comSUVR was evaluated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The GM-histogram was sharply unimodal in visually negative group but showed a wide shape to bimodal patterns in visually positive cases. Visually border group showed significantly higher \u03c0G2 than negative group, and positive group showed significantly higher \u00b5G2 than border group. GM-kurtosis and \u00b5G2 showed stronger negative (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.0001, R\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20090.7539) and positive (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.0001, R\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20090.8589) correlations with ComSUVR, respectively than the correlations between whole-brain histogram parameters and ComSUVR.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our proposed GM-histogram provides a visually comprehensive morphology and quantitative indicators that match conventional visual and SUVR-based assessments and may potentially detect even subtle amyloid accumulation. This method is considered promising as a complementary tool for early diagnosis and treatment monitoring of Alzheimer\u2019s disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s12149-026-02157-5","type":"journal-article","created":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T06:30:08Z","timestamp":1770445808000},"page":"564-574","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A new amyloid PET evaluation method using separated gray-matter histogram based on three-component model"],"prefix":"10.1007","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9088-8917","authenticated-orcid":false,"given":"Chio","family":"Okuyama","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoya","family":"Oishi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koichi","family":"Ishizu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroshi","family":"Hasegawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miki","family":"Ito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshiharu","family":"Fujita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuninori","family":"Kusano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomoko","family":"Okina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinya","family":"Kagawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroyuki","family":"Watanabe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tatsuya","family":"Higashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroshi","family":"Yamauchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiro","family":"Ono","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,7]]},"reference":[{"issue":"4","key":"2157_CR1","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/BF00308809","volume":"82","author":"H Braak","year":"1991","unstructured":"Braak H, Braak E. 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