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

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.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-12-01
DOI
https://doi.org/10.21037/qims-24-270
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40

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article

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

Yinjie Su, Keyang Zhou, Jianchun Peng, Jianming Gao et al.
1 citations
Quantitative Imaging in Medicine and Surgery
Radiomics and Machine Learning in Medical Imaging
0.40
article

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

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

Abstract

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.

Quantitative Imaging in Medicine and SurgeryVol. 14(12)
Central South University (CN), Sun Yat-sen University (CN), Fourth Hospital of Changsha (CN), The First People's Hospital of Changde (CN), Xian Yang Central Hospital (CN), Sun Yat-sen University Cancer Center (CN), Xiangya Hospital Central South University (CN), State Key Laboratory of Oncology in South China, University of South China (CN)
National Natural Science Foundation of China, Xiangya Hospital, Central South University
Openalex Percentile: Top 32%
Radiomics and Machine Learning in Medical Imaging
0.40
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Radiation-induced aberrant structural covariance networks in patients with nasopharyngeal carcinoma: a source-based morphometry study — Yinjie Su, Keyang Zhou, et al. · Quantitative Imaging in Medicine and Surgery (2024) | TGRS Research Map | TGRS