{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T15:53:29Z","timestamp":1785513209737,"version":"3.56.0"},"reference-count":75,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006465","name":"Ministry of Culture, Sports, and Tourism","doi-asserted-by":"publisher","award":["R2022020030"],"award-info":[{"award-number":["R2022020030"]}],"id":[{"id":"10.13039\/501100006465","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Catholic Education Foundation","award":["R2022020030"],"award-info":[{"award-number":["R2022020030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Accurate quantification of amyloid positron emission tomography (PET) is essential for early detection of and intervention in Alzheimer\u2019s disease (AD) but there is still a lack of studies comparing the performance of various automated methods. This study compared the PET-only method and PET-and-MRI-based method with a pre-trained deep learning segmentation model. A large sample of 1180 participants in the Catholic Aging Brain Imaging (CABI) database was analyzed to calculate the regional standardized uptake value ratio (SUVR) using both methods. The logistic regression models were employed to assess the discriminability of amyloid-positive and negative groups through 10-fold cross-validation and area under the receiver operating characteristics (AUROC) metrics. The two methods showed a high correlation in calculating SUVRs but the PET-MRI method, incorporating MRI data for anatomical accuracy, demonstrated superior performance in predicting amyloid-positivity. The parietal, frontal, and cingulate importantly contributed to the prediction. The PET-MRI method with a pre-trained deep learning model approach provides an efficient and precise method for earlier diagnosis and intervention in the AD continuum.<\/jats:p>","DOI":"10.3390\/ijms25147649","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T08:47:41Z","timestamp":1720774061000},"page":"7649","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Comparative Analysis of Two Automated Quantification Methods for Regional Cerebral Amyloid Retention: PET-Only and PET-and-MRI-Based Methods"],"prefix":"10.3390","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6455-4369","authenticated-orcid":false,"given":"Sunghwan","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Psychiatry, College of Medicine, Yeouido St. Mary\u2019s Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng-Min","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, College of Medicine, Yeouido St. Mary\u2019s Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3289-075X","authenticated-orcid":false,"given":"Dong Woo","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, College of Medicine, Seoul St. Mary\u2019s Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3403-4140","authenticated-orcid":false,"given":"Yoo Hyun","family":"Um","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, St. Vincent\u2019s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9041-9977","authenticated-orcid":false,"given":"Eun Ji","family":"Han","sequence":"additional","affiliation":[{"name":"Division of Nuclear Medicine, Department of Radiology, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonya Youngju","family":"Park","sequence":"additional","affiliation":[{"name":"Division of Nuclear Medicine, Department of Radiology, Yeouido St. Mary\u2019s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seunggyun","family":"Ha","sequence":"additional","affiliation":[{"name":"Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary\u2019s Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeong Sim","family":"Choe","sequence":"additional","affiliation":[{"name":"Research Institute, Neurophet Inc., Seoul 06234, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hye Weon","family":"Kim","sequence":"additional","affiliation":[{"name":"Research Institute, Neurophet Inc., Seoul 06234, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2578-0069","authenticated-orcid":false,"given":"Regina EY","family":"Kim","sequence":"additional","affiliation":[{"name":"Research Institute, Neurophet Inc., Seoul 06234, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donghyeon","family":"Kim","sequence":"additional","affiliation":[{"name":"Research Institute, Neurophet Inc., Seoul 06234, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang Uk","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, College of Medicine, Seoul St. Mary\u2019s Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8742-3409","authenticated-orcid":false,"given":"Hyun Kook","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, College of Medicine, Yeouido St. Mary\u2019s Hospital, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"},{"name":"CMC Institute for Basic Medical Science, The Catholic Medical Center of The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"GBD 2019 Collaborators (2021). 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