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Amyloid PET has become a useful tool for diagnosing Alzheimer\u2019s disease (AD) in humans, by accurately identifying amyloid-beta (A\u03b2) plaques. Cognitive dysfunction syndrome in dogs shows cognitive and pathophysiologic characteristics similar to AD. Therefore, we assessed the physiologic characteristics of uptake of <jats:sup>18<\/jats:sup>F-flutemetamol, an A\u03b2 protein-binding PET tracer in clinical development, in normal dog brains, for distinguishing an abnormal state. Static and dynamic PET images of six adult healthy dogs were acquired after <jats:sup>18<\/jats:sup>F-flutemetamol was administered intravenously at approximately 3.083\u2009MBq\/kg. For static images, PET data were acquired at 30, 60, and 90\u2009min after injection. One week later, dynamic images were acquired for 120\u2009min, from the time of tracer injection. PET data were reconstructed using an iterative technique, and corrections for attenuation and scatter were applied. Regions of interest were manually drawn over the frontal, parietal, temporal, occipital, anterior cingulate, posterior cingulate, and\u00a0cerebellar cortices, cerebral white matter, midbrain, pons, and medulla oblongata. After calculating standardized uptake values with an established formula, standardized uptake value ratios (SUVRs) were obtained, using the cerebellar cortex as a reference region.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Results<\/jats:title>\n<jats:p>Among the six cerebral cortical regions, the cingulate cortices and frontal lobe showed the highest SUVRs. The lowest SUVR was observed in the occipital lobe. The average values of the cortical SUVRs were 1.25, 1.26, and 1.27 at 30, 60, and 90\u2009min post-injection, respectively. Tracer uptake on dynamic scans was rapid, peaking within 4\u2009min post-injection. After reaching this early maximum, cerebral cortical regions showed a curve with a steep descent, whereas cerebral white matter demonstrated a curve with a slow decline, resulting in a large gap between cerebral cortical regions and white matter.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Conclusion<\/jats:title>\n<jats:p>This study provides normal baseline data of <jats:sup>18<\/jats:sup>F-flutemetamol PET that can facilitate an objective diagnosis of cognitive dysfunction syndrome in dogs in future.<\/jats:p>\n<\/jats:sec>","DOI":"10.1186\/s12917-020-2240-y","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T14:02:50Z","timestamp":1579269770000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Temporal and anatomical distribution of 18F-flutemetamol uptake in canine brain using positron emission tomography"],"prefix":"10.1186","volume":"16","author":[{"given":"Taesik","family":"Yun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wonguk","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji-Houn","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mhan-Pyo","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4471-4342","authenticated-orcid":false,"given":"Byeong-Teck","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,17]]},"reference":[{"issue":"4","key":"2240_CR1","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1097\/00002093-200210000-00001","volume":"16","author":"WW Barker","year":"2002","unstructured":"Barker WW, Luis CA, Kashuba A, Luis M, Harwood DG, Loewenstein D. 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