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Browsing by Author "Schagen, Sanne B."
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Item Brain gray matter reduction and premature brain aging after breast cancer chemotherapy: a longitudinal multicenter data pooling analysis(Springer, 2023) de Ruiter, Michiel B.; Deardorff, Rachael L.; Blommaert, Jeroen; Chen, Bihong T.; Dumas, Julie A.; Schagen, Sanne B.; Sunaert, Stefan; Wang, Lei; Cimprich, Bernadine; Peltier, Scott; Dittus, Kim; Newhouse, Paul A.; Silverman, Daniel H.; Schroyen, Gwen; Deprez, Sabine; Saykin, Andrew J.; McDonald, Brenna C.; Radiology and Imaging Sciences, School of MedicineBrain gray matter (GM) reductions have been reported after breast cancer chemotherapy, typically in small and/or cross-sectional cohorts, most commonly using voxel-based morphometry (VBM). There has been little examination of approaches such as deformation-based morphometry (DBM), machine-learning-based brain aging metrics, or the relationship of clinical and demographic risk factors to GM reduction. This international data pooling study begins to address these questions. Participants included breast cancer patients treated with (CT+, n = 183) and without (CT-, n = 155) chemotherapy and noncancer controls (NC, n = 145), scanned pre- and post-chemotherapy or comparable intervals. VBM and DBM examined GM volume. Estimated brain aging was compared to chronological aging. Correlation analyses examined associations between VBM, DBM, and brain age, and between neuroimaging outcomes, baseline age, and time since chemotherapy completion. CT+ showed longitudinal GM volume reductions, primarily in frontal regions, with a broader spatial extent on DBM than VBM. CT- showed smaller clusters of GM reduction using both methods. Predicted brain aging was significantly greater in CT+ than NC, and older baseline age correlated with greater brain aging. Time since chemotherapy negatively correlated with brain aging and annual GM loss. This large-scale data pooling analysis confirmed findings of frontal lobe GM reduction after breast cancer chemotherapy. Milder changes were evident in patients not receiving chemotherapy. CT+ also demonstrated premature brain aging relative to NC, particularly at older age, but showed evidence for at least partial GM recovery over time. When validated in future studies, such knowledge could assist in weighing the risks and benefits of treatment strategies.Item Reliable change in neuropsychological assessment of breast cancer survivors(Wiley, 2016-01) Andreotti, Charissa; Root, James C.; Schagen, Sanne B.; McDonald, Brenna C.; Saykin, Andrew J.; Atkinson, Thomas M.; Li, Yuelin; Ahles, Tim A.; Department of Medicine, IU School of MedicineBACKGROUND: The purpose of this study was to enhance the current understanding and interpretation of longitudinal change on tests of neurocognitive function in individuals with cancer. Scores on standard neuropsychological instruments may be impacted by practice effects and other random forms of error. METHODS: The current study assessed the test-retest reliability of several tests and overarching cognitive domains comprising a neurocognitive battery typical of those used for research and clinical evaluation using relevant time frames. Practice effect-adjusted reliable change confidence intervals for test-retest difference scores based on a sample of patient-matched healthy controls are provided. RESULTS: By applying reliable change confidence intervals to scores from two samples of breast cancer patients at post-treatment follow-up assessment, meaningful levels of detectable change in cognitive functioning in breast cancer survivors were ascertained and indicate that standardized neuropsychological instruments may be subject to limitations in detection of subtle cognitive dysfunction over clinically relevant intervals, especially in patient samples with average to above average range baseline functioning. CONCLUSIONS: These results are discussed in relation to reported prevalence of cognitive change in breast cancer patients along with recommendations for study designs that enhance detection of treatment effects.