Evidence map›Paper›PMID 39698681›Full record

ArticleQuantitative imaging in medicine and surgery2024

Radiation-induced aberrant structural covariance networks in patients with nasopharyngeal carcinoma: a source-based morphometry study.

Lingling Deng, Keyang Zhou, Youming Zhang, Li Li, Jianming Gao, Jianchun Peng, Bei Tan, Yinjie Su, Xingyou Zheng, Qing Zhao

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Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Lingling DengDepartment of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Keyang ZhouDepartment of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Youming ZhangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Li LiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jianming GaoDepartment of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jianchun PengDepartment of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Bei TanDepartment of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yinjie SuDepartment of Radiology, The Second People's Hospital of Changde, Changde, China.
Xingyou ZhengMedical Imaging Department, The Fourth Hospital of Changsha, Changsha, China.
Qing ZhaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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. Methods: In this cross-sectional study, 131 NPC patients with pre- and post-RT were stratified into pre-RT (n=47) and post-RT (n=84) groups. The SBM method was adopted to investigate the radiation-induced alterations in structural covariance networks in patients with NPC. Results: Compared to the pre-RT group, our SBM analyses revealed increased z-scores in the independent component 05 (IC05; mainly located in the posterior cingulate, precuneus areas, and superior parietal lobe) (P=0.040) and decreased z-scores in the temporal-occipital network (P=0.015) and cerebellar network (P=0.023) in post-RT NPC patients. Compared to the pre-RT group, voxel-based morphometry (VBM) revealed reduced gray matter volume in the left temporal lobe, cerebellum, bilateral thalamus, left insular, and occipital lobe in the post-RT group. Notably, a significant negative correlation was observed between the mean radiation doses of the right temporal lobe and the z-score of the cerebellar network (r=-0.349, P=0.027). Conclusions: This present study revealed radiation-induced changes in structural covariance networks and cortical volume in patients with NPC. These findings shed some light on the neural basis of symptom patterns in RBI and may support the development of new intervention strategies to prevent progression to radiation-induced brain necrosis.

Indexed as

Nasopharyngeal carcinoma (NPC)radiation-induced brain injury (RBI)source-based morphometry (SBM)structural covariance networks

Identifiers

PMID39698681
PMCPMC11651962

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.