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AMYPAD trials (Diagnostic and Patient Management Study [DPMS] and Prognostic and Natural History Study [PNHS]) aimed to validate robust quantification in clinical settings. We report our comprehensive approach to amyloid\u2010PET implementation, comprising\u00a0scan\u00a0acquisition, harmonization, data storing, and data sharing strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>Data from 28 scanners were harmonized using Hoffman phantoms. Three quantification workflows were compared: AmyPype (PET\u2010only), IXICO\u2010LEAP, and the standard Centiloid pipeline (magnetic resonance imaging [MRI]\u2010based). Distributions of Centiloids were assessed using Gaussian Mixture Modeling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      Binary quantification showed excellent concordance between pipelines (\u2265 96%) and compared to visual reads (&gt;90%). DPMS Centiloids had a bimodal distribution while the PNHS showed a more skewed distribution toward higher Centiloids modeled with three Gaussians (1\n                      <jats:sup>st<\/jats:sup>\n                      Gaussian mean + 2SD\u00a0=\u00a012 CL, emerging pathology).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>The harmonization framework, providing strong cross\u2010method correlations in AMYPAD, has been adopted by EARL as the Brain PET\/CT accreditation standard and provides a practical approach for other multi\u2010center cohorts to implement similar strategies.<\/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>We share AMYPAD's end\u2010to\u2010end approach to amyloid positron emission tomography (PET) quantification from data acquisition and handling, harmonization based on Hoffman phantoms, quality control, image processing, to data storage, and data sharing strategies.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Centiloid quantification was compared across one PET\u2010only (AmyPype) and two PET\u2010MR pipelines (standard Centiloid and IXIXO\u2010LEAP). Excellent agreement in dichotomized Centiloid valued was observed both between pipelines and when compared to visual reads.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Distribution of Centiloid values in the Prognostic and Natural History Study (PNHS) and Diagnostic and Patient Management Study (DPMS) are in line with the initial recruitment strategies of the trials.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Harmonization of Amyloid\u2010PET scans framework was adopted by EARL as the Brain PET\/CT accreditation standard for multicentre brain PET scans.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/trc2.70190","type":"journal-article","created":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T07:03:39Z","timestamp":1766473419000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Implementing robust amyloid PET quantification in multi\u2010center studies: AMYPAD approach to address data acquisition, processing, interpretation and data sharing challenges"],"prefix":"10.1002","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9169-7530","authenticated-orcid":false,"given":"Ariane","family":"Bollack","sequence":"first","affiliation":[{"name":"GE HealthCare  London UK"},{"name":"Department of Medical Physics and Biomedical Engineering University College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1336-6768","authenticated-orcid":false,"given":"Mahnaz","family":"Shekari","sequence":"additional","affiliation":[{"name":"Barcelona\u03b2eta Brain Research Center Pasqual Maragall Foundation  Barcelona Spain"},{"name":"Hospital del Mar Medical Research Institute (IMIM)  Barcelona Spain"},{"name":"Universitat Pompeu Fabra  Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6263-1762","authenticated-orcid":false,"given":"Lyduine E.","family":"Collij","sequence":"additional","affiliation":[{"name":"Department of Radiology &amp; 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