Objective: In a retrospective review to assess neuroanatomical targets of radiation-induced cognitive decline, dose volume histogram (DVH) analyses of specific brain regions of interest (ROI) are correlated to neurocognitive performance in 57 primary brain tumor survivors.
Methods: Neurocognitive assessment at baseline included Trail Making Tests A/B, a modified Rey-Osterreith Complex Figure, California or Hopkins Verbal Learning Test, Digit Span, and Controlled Oral Word Association. DVH analysis was performed for multiple neuroanatomical targets considered to be involved in cognition. The %v10 (percent of ROI receiving 10 Gy), %v40, and %v60 were calculated for each ROI. Factor analysis was used to estimate global cognition based on a summary of performance on individual cognitive tests. Stepwise regression was used to determine which dose volume predicted performance on global factors and individual neurocognitive tests for each ROI.
Results: Regions that predicted global cognitive outcomes at doses <60 Gy included the corpus callosum, left frontal white matter, right temporal lobe, bilateral hippocampi, subventricular zone, and cerebellum. Regions of adult neurogenesis primarily predicted cognition at %v40 except for the right hippocampus which predicted at %v10. Regions that did not predict global cognitive outcomes at any dose include total brain volume, frontal pole, anterior cingulate, right frontal white matter, and the right precentral gyrus.
Conclusions: Modeling of radiation-induced cognitive decline using neuroanatomical target theory appears to be feasible. A prospective trial is necessary to validate these data.
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http://dx.doi.org/10.1212/WNL.0b013e318283bb0a | DOI Listing |
Quant Imaging Med Surg
December 2024
Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Background: Radiation-induced brain injury (RBI) is a common complication in patients with nasopharyngeal carcinoma (NPC) who have undergone radiotherapy (RT), which is characterized by significant cognitive and psychological impairments. Although radiation-induced regional structural abnormalities have been well-reported, the effects of RT on the whole brain structural covariance networks are mostly unknown. Here, we performed a source-based morphometry (SBM) study to solve this issue.
View Article and Find Full Text PDFActa Neuropathol Commun
December 2024
Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, USA.
Cranial radiation therapy (RT) for brain cancers is often associated with the development of radiation-induced cognitive dysfunction (RICD). RICD significantly impacts the quality of life for cancer survivors, highlighting an unmet medical need. Previous human studies revealed a marked reduction in plasma brain-derived neurotrophic factor (BDNF) post-chronic chemotherapy, linking this decline to a substantial cognitive dysfunction among cancer survivors.
View Article and Find Full Text PDFBrain Behav Immun Health
February 2025
Neuroscience, University of Rochester Medical Center, Rochester, NY, 14642, USA.
Patients receiving cranial radiation therapy experience tissue damage and cognitive deficits that severely decrease their quality of life. Experiments in rodent models show that these adverse neurological effects are in part due to functional changes in microglia, the resident immune cells of the central nervous system. Increasing evidence suggests that experimental manipulation of microglial signaling can regulate radiation-induced changes in the brain and behavior.
View Article and Find Full Text PDFAnn Palliat Med
November 2024
Department of Radiation Oncology, National University Cancer Institute, National University Hospital, Singapore, Singapore.
Background And Objective: Breast cancer is the most prevalent cancer among women worldwide, with 45% of them over 65 years old. Older breast cancer patients tend to be underrepresented and understudied in major clinical trials. This narrative review provides a comprehensive overview of the current evidence regarding treatment decision-making, treatment toxicities, and proposed survivorship management recommendations for geriatric cancer patients.
View Article and Find Full Text PDFLife Sci Space Res (Amst)
November 2024
Radiation Oncology, USA.
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