Correcting SUVR bias by accounting for radiotracer clearance in tissue: A validation study with [18F]FE-PE2I PET in cross-sectional, test-retest and longitudinal cohorts.
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| Title: | Correcting SUVR bias by accounting for radiotracer clearance in tissue: A validation study with [18F]FE-PE2I PET in cross-sectional, test-retest and longitudinal cohorts. |
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| Authors: | Oh M; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet and Stockholm Health Care Services, Stockholm, Sweden.; Departments of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Honhar P; Department of Radiology and Biomedical Imaging, Yale PET Center, Yale School of Medicine, New Haven, CT, USA.; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Carson RE; Department of Radiology and Biomedical Imaging, Yale PET Center, Yale School of Medicine, New Haven, CT, USA.; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Hillmer AT; Department of Radiology and Biomedical Imaging, Yale PET Center, Yale School of Medicine, New Haven, CT, USA.; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA., Varrone A; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet and Stockholm Health Care Services, Stockholm, Sweden. |
| Source: | Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism [J Cereb Blood Flow Metab] 2025 Jul; Vol. 45 (7), pp. 1357-1370. Date of Electronic Publication: 2025 Feb 21. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: SAGE Publications Country of Publication: United States NLM ID: 8112566 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-7016 (Electronic) Linking ISSN: 0271678X NLM ISO Abbreviation: J Cereb Blood Flow Metab Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1559-7016 |
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| DOI: | 10.1177/0271678X251322407 |
