{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T01:45:19Z","timestamp":1788918319950,"version":"build-2803163510"},"reference-count":36,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T00:00:00Z","timestamp":1759190400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["U19 AG024904"],"award-info":[{"award-number":["U19 AG024904"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R56\/U01 AG057195"],"award-info":[{"award-number":["R56\/U01 AG057195"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009804","name":"Northern California Institute for Research and Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009408","name":"Fondation Brain Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009408","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["alz-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Alzheimer's &amp;amp; Dementia"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION<\/jats:title>\n                    <jats:p>In multicenter Alzheimer's disease studies, amyloid positron emission tomography (PET) visual reads are typically performed centrally by a few experts. Incorporating a broader reader network enhances scalability and generalizability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>Ten neuroimaging experts from eight Alzheimer's Disease Research Centers (ADRCs) visually read 180 amyloid PET scans (30 scans and 15 duplicate scans for each of four tracers, imaged across a wide variety of scanners), using preferred reading software without anatomical imaging or quantitation. Scans were classified as elevated or non\u2010elevated per tracer\u2010specific criteria. Inter\u2010 and intra\u2010rater agreement was assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      Inter\u2010rater agreement was substantial (Fleiss\u2019\n                      <jats:italic>\u03ba<\/jats:italic>\n                      \u00a0=\u00a00.78), with full consensus on 69% of scans. Inter\u2010rater reliability was substantial to perfect across tracers (Fleiss\u2019\n                      <jats:italic>\u03ba<\/jats:italic>\n                      \u00a0=\u00a00.70\u20130.87). Intra\u2010rater agreement was substantial to perfect (Cohen's\n                      <jats:italic>\u03ba\u00a0<\/jats:italic>\n                      =\u00a00.79\u20101). Scans with intermediate (10\u201340 Centiloid) quantitation had lower reader agreement.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>A multicenter expert network achieved substantial agreement classifying amyloid PET scans. These scans provide a standard for reader training and reliability assurance in future studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Calibration methods ensure reliable amyloid positron emission tomography (PET) visual reads across multiple raters.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Substantial agreement is possible across readers using their preferred tools.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Agreement is also substantial regardless of the amyloid PET tracer used.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Scans with intermediate (10\u201340 Centiloid) quantitation have lower reader agreement.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The calibration set will become a training tool for amyloid PET visual read studies.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.70732","type":"journal-article","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T06:51:46Z","timestamp":1759301506000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Calibration of multisite raters for prospective visual reads of amyloid PET scans"],"prefix":"10.1002","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4197-3039","authenticated-orcid":false,"given":"David N.","family":"Soleimani\u2010Meigooni","sequence":"first","affiliation":[{"name":"Memory and Aging Center Department of Neurology University of California, San Francisco  San Francisco California USA"},{"name":"Molecular Biophysics and Integrated Bioimaging Lawrence Berkeley National Lab  Berkeley California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefania","family":"Pezzoli","sequence":"additional","affiliation":[{"name":"Memory and Aging Center Department of Neurology University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ganna","family":"Blazhenets","sequence":"additional","affiliation":[{"name":"Memory and Aging Center Department of Neurology University of California, San Francisco  San Francisco California 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A.","family":"Tanner","sequence":"additional","affiliation":[{"name":"Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases University of Texas Health Science Center  San Antonio Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor L.","family":"Villemagne","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles C.","family":"Windon","sequence":"additional","affiliation":[{"name":"Memory and Aging Center Department of Neurology University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Zeineh","sequence":"additional","affiliation":[{"name":"Stanford University School of Medicine  Stanford California 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