Literature DB >> 31015128

Dose-dependent atrophy of the amygdala after radiotherapy.

Minh-Phuong Huynh-Le1, Roshan Karunamuni1, Vitali Moiseenko1, Nikdokht Farid2, Carrie R McDonald3, Jona A Hattangadi-Gluth1, Tyler M Seibert4.   

Abstract

BACKGROUND AND
PURPOSE: The amygdalae are deep brain nuclei critical to emotional processing and the creation and storage of memory. It is not known whether the amygdalae are affected by brain radiotherapy (RT). We sought to quantify dose-dependent amygdala change one year after brain RT.
MATERIALS AND METHODS: 52 patients with primary brain tumors were retrospectively identified. Study patients underwent high-resolution, volumetric magnetic resonance imaging before RT and 1 year afterward. Images were processed using FDA-cleared software for automated segmentation of amygdala volume. Tumor, surgical changes, and segmentation errors were manually censored. Mean amygdala RT dose was tested for correlation with amygdala volume change 1 year after RT via the Pearson correlation coefficient. A linear mixed-effects model was constructed to evaluate potential predictors of amygdala volume change, including age, tumor hemisphere, sex, seizure history, and bevacizumab treatment during the study period. As 51 of 52 patients received chemotherapy, possible chemotherapy effects could not be studied. A two-tailed p-value <0.05 was considered statistically significant.
RESULTS: Mean amygdala RT dose (r = -0.28, p = 0.01) was significantly correlated with volume loss. On multivariable analysis, the only significant predictor of amygdala atrophy was radiation dose. The final linear mixed-effects model estimated amygdala volume loss of 0.17% for every 1 Gy increase in mean amygdala RT dose (p = 0.008).
CONCLUSIONS: The amygdala demonstrates dose-dependent atrophy one year after radiotherapy for brain tumors. Amygdala atrophy may mediate neuropsychological effects seen after brain RT.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amygdala; Brain radiotherapy; Quantitative MRI

Mesh:

Year:  2019        PMID: 31015128      PMCID: PMC7041546          DOI: 10.1016/j.radonc.2019.03.024

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


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