{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T16:30:00Z","timestamp":1780849800274,"version":"3.54.1"},"reference-count":38,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T00:00:00Z","timestamp":1728777600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:p>\n                    A Support Vector Machine (SVM) based approach was developed to identify a pseudo-reference region for brain PET scans with the aim of reducing interscan and intersubject variability. By training a binary linear SVM classifier with PET datasets from two different groups, potential pseudo-reference regions were identified by considering their regional average or total contribution to the classification score. This approach was evaluated in three cohorts with different brain PET tracers: (1)\n                    <jats:sup>11<\/jats:sup>\n                    C-PiB PET scans of Alzheimer\u2019s disease (AD) patients and age-matched controls (OC); (2) baseline and blocking scans of an\n                    <jats:sup>11<\/jats:sup>\n                    C-UCB-J PET occupancy study; and (3)\n                    <jats:sup>18<\/jats:sup>\n                    F-DPA-714 PET scans for healthy controls (HC) and chemo-treated women with breast cancer (BC). In the first cohort, cerebellum, brainstem, and subcortical white matter were confirmed as pseudo-reference regions. The same regions were identified for the second cohort using either the V\n                    <jats:sub>T<\/jats:sub>\n                    maps or the SUV images. In the third cohort, cerebellum and brainstem were identified as pseudo-reference regions, alongside subcortical white matter and temporal cortex. In addition, the SVM-based approach demonstrated robust performance even with a reduced number of subjects, therefore confirming its applicability in identifying pseudo-reference regions without a priori assumptions and with only limited data across different PET tracers.\n                  <\/jats:p>","DOI":"10.1177\/0271678x241290912","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T02:35:01Z","timestamp":1728873301000},"page":"568-577","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["A support vector machine-based approach to guide the selection of a pseudo-reference region for brain PET quantification"],"prefix":"10.1177","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2802-208X","authenticated-orcid":false,"given":"Chunmeng","family":"Tang","sequence":"first","affiliation":[{"name":"KU Leuven"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5673-4121","authenticated-orcid":false,"given":"Greet","family":"Vanderlinden","sequence":"additional","affiliation":[{"name":"KU Leuven"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gwen","family":"Schroyen","sequence":"additional","affiliation":[{"name":"KU Leuven"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabine","family":"Deprez","sequence":"additional","affiliation":[{"name":"KU Leuven"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5200-7245","authenticated-orcid":false,"given":"Koen","family":"Van Laere","sequence":"additional","affiliation":[{"name":"KU Leuven"},{"name":"Division of Nuclear Medicine, University Hospitals UZ Leuven, Leuven, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michel","family":"Koole","sequence":"additional","affiliation":[{"name":"KU Leuven"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,10,13]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"crossref","unstructured":"Lubberink M Koole M. Tracer kinetic modelling and its use in PET quantification. In: M. Ljungberg (ed.) Handbook of nuclear medicine and molecular imaging for physicists. 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