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.
Minyoung Oh, Praveen Honhar, Richard E Carson, Ansel T Hillmer, Andrea Varrone
{"title":"Correcting <i>SUVR</i> bias by accounting for radiotracer clearance in tissue: A validation study with [<sup>18</sup>F]FE-PE2I PET in cross-sectional, test-retest and longitudinal cohorts.","authors":"Minyoung Oh, Praveen Honhar, Richard E Carson, Ansel T Hillmer, Andrea Varrone","doi":"10.1177/0271678X251322407","DOIUrl":null,"url":null,"abstract":"<p><p>Quantification of dopamine transporter (DAT) with [<sup>18</sup>F]FE-PE2I PET is an important progression marker for Parkinson's disease (PD). This study aimed to validate a novel correction (<i>SUVR</i>c) for a less-biased estimate of <i>SUVR</i> by accounting for [<sup>18</sup>F]FE-PE2I clearance-rate, in independent cross-sectional (38 PD, 38 controls), test-retest (9 PD) and longitudinal cohorts (21 PD). <i>SUVR</i>c was calculated as <math><mfrac><mrow><mi>SUVR</mi></mrow><mrow><mn>1</mn><mi> </mi><mo>-</mo><mi> </mi><mfrac><mrow><msub><mrow><mi>β</mi></mrow><mrow><mi>ref</mi></mrow></msub></mrow><mrow><msub><mrow><mi>k</mi></mrow><mrow><mn>2</mn><mo>,</mo><mi>ref</mi></mrow></msub></mrow></mfrac><mi> </mi><mo>+</mo><msub><mrow><mi>β</mi></mrow><mrow><mi>tar</mi></mrow></msub><mfrac><mrow><mi>SUVR</mi></mrow><mrow><msub><mrow><mi>k</mi></mrow><mrow><mn>2</mn><mo>,</mo><mi>ref</mi></mrow></msub><msub><mrow><mi>R</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></mfrac></mrow></mfrac></math>. <i>β</i><sub>tar</sub> and <i>β</i><sub>ref</sub> are the clearance rates from the target and reference tissues. Bias relative to <i>DVR</i>, discriminative power, test-retest variability (TRV) and annual longitudinal change (ALC) were used to compare <i>SUVR</i><sub>50-80 min</sub>, <i>SUVR</i>c<sub>50-80 min</sub>, <i>SUVR</i><sub>15-45 min</sub> and <i>DVR. SUVR</i><sub>50-80 min</sub> showed high bias across all regions (HC: mean: 48.31 ± 20.49% [range: 28.32-53.80%]; PD: 29.91 ± 13.95% [20.45-39.80%]) that was corrected by <i>SUVR</i>c<sub>50-80 min</sub> (HC: -0.80 ± 12.72% [-9.69-11.64%]; PD: -0.13 ± 7.41% [-5.04-2.97%]), <i>p < </i>0.001 for both groups compared to mean bias of <i>SUVR</i><sub>50-80 min</sub>, similar to <i>SUVR</i><sub>15-45 min</sub>. For the striatum, Cohen's <i>d</i> was similar for all measures. TRV were 3.2 ± 2.5% (<i>DVR</i>), 6.4 ± 5.7% (<i>SUVR</i><sub>50-80 min</sub>), 6.8 ± 5.9% (<i>SUVR</i>c<sub>50-80 min</sub>) and 3.9 ± 3.2% (<i>SUVR</i><sub>15-45 min</sub>). Higher TRV of <i>SUVR</i>c<sub>50-80 min</sub> was due to TRV of 9.2 ± 5.1% [1.1-19.4] for β<sub>tar</sub>. ALC was 4.5 ± 4.2% (<i>DVR</i>), 5.2 ± 6.5% (<i>SUVR</i><sub>50-80 min</sub>), 4.4 ± 4.1% (<i>SUVR</i>c<sub>50-80 min</sub>) and 4.2 ± 4.1% (<i>SUVR</i><sub>15-45 min</sub>). <i>SUVR</i>c<sub>50-80 min</sub> reduced bias compared to <i>SUVR</i><sub>50-80 min</sub>, as previously reported. <i>SUVR</i>c<sub>50-80 min</sub> was sensitive to small changes of β<sub>tar</sub>, with higher TRV compared to <i>DVR</i>, but with similar ALC, suggesting that it can reliably assess longitudinal DAT changes.</p>","PeriodicalId":15325,"journal":{"name":"Journal of Cerebral Blood Flow and Metabolism","volume":" ","pages":"1357-1370"},"PeriodicalIF":4.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846093/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cerebral Blood Flow and Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/0271678X251322407","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Quantification of dopamine transporter (DAT) with [18F]FE-PE2I PET is an important progression marker for Parkinson's disease (PD). This study aimed to validate a novel correction (SUVRc) for a less-biased estimate of SUVR by accounting for [18F]FE-PE2I clearance-rate, in independent cross-sectional (38 PD, 38 controls), test-retest (9 PD) and longitudinal cohorts (21 PD). SUVRc was calculated as . βtar and βref are the clearance rates from the target and reference tissues. Bias relative to DVR, discriminative power, test-retest variability (TRV) and annual longitudinal change (ALC) were used to compare SUVR50-80 min, SUVRc50-80 min, SUVR15-45 min and DVR. SUVR50-80 min showed high bias across all regions (HC: mean: 48.31 ± 20.49% [range: 28.32-53.80%]; PD: 29.91 ± 13.95% [20.45-39.80%]) that was corrected by SUVRc50-80 min (HC: -0.80 ± 12.72% [-9.69-11.64%]; PD: -0.13 ± 7.41% [-5.04-2.97%]), p < 0.001 for both groups compared to mean bias of SUVR50-80 min, similar to SUVR15-45 min. For the striatum, Cohen's d was similar for all measures. TRV were 3.2 ± 2.5% (DVR), 6.4 ± 5.7% (SUVR50-80 min), 6.8 ± 5.9% (SUVRc50-80 min) and 3.9 ± 3.2% (SUVR15-45 min). Higher TRV of SUVRc50-80 min was due to TRV of 9.2 ± 5.1% [1.1-19.4] for βtar. ALC was 4.5 ± 4.2% (DVR), 5.2 ± 6.5% (SUVR50-80 min), 4.4 ± 4.1% (SUVRc50-80 min) and 4.2 ± 4.1% (SUVR15-45 min). SUVRc50-80 min reduced bias compared to SUVR50-80 min, as previously reported. SUVRc50-80 min was sensitive to small changes of βtar, with higher TRV compared to DVR, but with similar ALC, suggesting that it can reliably assess longitudinal DAT changes.
期刊介绍:
JCBFM is the official journal of the International Society for Cerebral Blood Flow & Metabolism, which is committed to publishing high quality, independently peer-reviewed research and review material. JCBFM stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists.