Radiation-induced brain structural and functional abnormalities in presymptomatic phase and outcome prediction
- Authors
- Ding, Zhongxiang; Zhang, Han; Lv, Xiao-Fei; Xie, Fei; Liu, Lizhi; Qiu, Shijun; Li, Li; Shen, Dinggang
- Issue Date
- 1월-2018
- Publisher
- WILEY
- Keywords
- radiation therapy; irradiation injury; functional connectivity; structural connectivity; diffusion tensor imaging; functional magnetic resonance imaging; resting state; prognosis; amplitude of low-frequency fluctuations; nasopharyngeal carcinoma
- Citation
- HUMAN BRAIN MAPPING, v.39, no.1, pp.407 - 427
- Indexed
- SCIE
SCOPUS
- Journal Title
- HUMAN BRAIN MAPPING
- Volume
- 39
- Number
- 1
- Start Page
- 407
- End Page
- 427
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/78439
- DOI
- 10.1002/hbm.23852
- ISSN
- 1065-9471
- Abstract
- Radiation therapy, a major method of treatment for brain cancer, may cause severe brain injuries after many years. We used a rare and unique cohort of nasopharyngeal carcinoma patients with normal-appearing brains to study possible early irradiation injury in its presymptomatic phase before severe, irreversible necrosis happens. The aim is to detect any structural or functional imaging biomarker that is sensitive to early irradiation injury, and to understand the recovery and progression of irradiation injury that can shed light on outcome prediction for early clinical intervention. We found an acute increase in local brain activity that is followed by extensive reductions in such activity in the temporal lobe and significant loss of functional connectivity in a distributed, large-scale, high-level cognitive function-related brain network. Intriguingly, these radiosensitive functional alterations were found to be fully or partially recoverable. In contrast, progressive late disruptions to the integrity of the related far-end white matter structure began to be significant after one year. Importantly, early increased local brain functional activity was predictive of severe later temporal lobe necrosis. Based on these findings, we proposed a dynamic, multifactorial model for radiation injury and another preventive model for timely clinical intervention. Hum Brain Mapp 39:407-427, 2018. (c) 2017 Wiley Periodicals, Inc.
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Collections - Graduate School > Department of Artificial Intelligence > 1. Journal Articles
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