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Our aim is to determine the efficacy of amyloid\u2010\u03b2 (A\u03b2) PET in diagnosing AD and early prediction of mild cognitive impairment (MCI) converting to AD. By pooling studies from different centers to explore in\u2010depth whether diagnostic performance varies by population type, radiotracer type, and diagnostic approach, thus providing a more comprehensive theoretical basis for the subsequent widespread application of A\u03b2 PET in the clinical setting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Relevant studies were searched through PubMed. The pooled sensitivities, specificities, DOR, and the summary ROC curve were obtained based on a Bayesian random\u2010effects model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Forty\u2010eight studies, including 5967 patients, were included. Overall, the pooled sensitivity, specificity, DOR, and AUC of A\u03b2 PET for diagnosing AD were 0.90, 0.80, 35.68, and 0.91, respectively. Subgroup analysis showed that A\u03b2 PET had high sensitivity (0.91) and specificity (0.81) for differentiating AD from normal controls but very poor specificity (0.49) for determining AD from MCI. The pooled sensitivity and specificity were 0.84 and 0.62, respectively, for predicting the conversion of MCI to AD. The differences in diagnostic efficacy between visual assessment and quantitative analysis and between\n                      <jats:sup>11<\/jats:sup>\n                      C\u2010PIB PET and\n                      <jats:sup>18<\/jats:sup>\n                      F\u2010florbetapir PET were insignificant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The overall performance of A\u03b2 PET in diagnosing AD is favorable, but the differentiation between MCI and AD patients should consider that some MCI may be at risk of conversion to AD and may be misdiagnosed. A multimodal diagnostic approach and machine learning analysis may be effective in improving diagnostic accuracy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.2850","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T03:13:00Z","timestamp":1672110780000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Amyloid\u2010\u03b2 PET in Alzheimer's disease: A systematic review and Bayesian meta\u2010analysis"],"prefix":"10.1002","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5075-8114","authenticated-orcid":false,"given":"Dan","family":"Ruan","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine Zhongshan Hospital (Xiamen), Fudan University  Fujian China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Long","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine and Minnan PET Center Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University  Xiamen China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/alz.12328"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2011.03.008"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2021.3854"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.3233\/JAD\u2010170753"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2021.101339"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140\u20106736(85)90965\u20101"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/NEN.0000000000000114"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13195\u2010017\u20100260\u2010z"},{"key":"e_1_2_10_10_1","volume-title":"Cochrane handbook for systematic reviews of diagnostic test accuracy","author":"Bossuyt P. 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