{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T06:06:29Z","timestamp":1768802789098,"version":"3.49.0"},"reference-count":27,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T00:00:00Z","timestamp":1742860800000},"content-version":"vor","delay-in-days":24,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroimaging"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background and Purpose<\/jats:title><jats:p><jats:sup>99m<\/jats:sup>Tc\u2010TRODAT\u20101 SPECT imaging is an imaging technique, more commonly used in Asia, to diagnose Parkinson's disease (PD). This study evaluates the use of automated three\u2010dimensional volume\u2010of\u2010interest (VOI) analysis in diagnosing PD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p><jats:sup>99m<\/jats:sup>Tc\u2010TRODAT\u20101 SPECT images of 76 patients (50 with PD and 26 without PD) were retrospectively analyzed. The specific binding ratio (SBR) was calculated using an automated program. Multiple linear regression and receiver operating characteristic curve analyses were performed to identify the factors that affect SBR value and determine the optimal cutoff values.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Multiple regression analysis revealed disease status as the strongest predictor of SBR values, followed by age and sex. Receiver operating characteristic curve analysis demonstrated good diagnostic performance for the striatum (area under the curve [AUC]\u00a0=\u00a00.922), putamen (AUC\u00a0=\u00a00.922), and caudate (AUC\u00a0=\u00a00.881). Optimal cutoff values were determined for the striatum (0.515; sensitivity 88.5%, specificity 90.0%), putamen (0.445; sensitivity 92.3%, specificity 86.0%), and caudate (0.655; sensitivity 84.6%, specificity 90.0%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Semiautomatic quantitative analysis of <jats:sup>99m<\/jats:sup>Tc\u2010TRODAT\u20101 SPECT using automated three\u2010dimensional VOI shows excellent diagnostic performance in differentiating PD from non\u2010Parkinson's cases. Age and sex significantly influence SBR values, suggesting the need for demographic\u2010adjusted cutoff values in clinical practice.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jon.70038","type":"journal-article","created":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T10:34:15Z","timestamp":1743158055000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Semiautomatic Quantification of <sup>99m<\/sup>Tc\u2010TRODAT\u20101 SPECT Images in Patients With Idiopathic Parkinson's Disease"],"prefix":"10.1111","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0539-9870","authenticated-orcid":false,"given":"Gary Ka Wai","family":"Chan","sequence":"first","affiliation":[{"name":"Nuclear Medicine Unit, Department of Radiology Queen Mary Hospital Hong Kong, SAR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1736-8771","authenticated-orcid":false,"given":"Tsz Kit","family":"Chow","sequence":"additional","affiliation":[{"name":"Nuclear Medicine Unit, Department of Radiology and Nuclear Medicine Tuen Mun Hospital Hong Kong, SAR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan Wui Hang","family":"Ho","sequence":"additional","affiliation":[{"name":"Division of Neurology, Department of Medicine Queen Mary Hospital, University of Hong Kong Hong Kong, SAR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7363-0239","authenticated-orcid":false,"given":"William C. 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