Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas-Reference-Cited by-同舟云学术

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Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas

Published:2023-09 Issue: Volume:186 Page:109789
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Yang Ne,Xiao Xiong,Gu Guocan,Wang Xianyu,Zhang Xinran,Wang Yi,Pan Changcun,Zhang Peng,Ma Longfei,Zhang Liwei,Liao Hongen

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology

Reference39 articles.

1. Accuracy of central neuro-imaging review of DIPG compared with histopathology in the international DIPG registry;Lazow;Neuro Oncol,2022

2. Brainstem glioma: a review;Grimm;Curr Neurol Neurosci Rep,2013

3. The integrated genomic and epigenomic landscape of brainstem glioma;Chen;Nat Commun,2020

4. The 2021 WHO classification of tumors of the central nervous system: a summary;Louis;Neuro Oncol,2021

5. Wesseling P, Capper D. WHO 2016 Classification of gliomas. Neuropathol Appl Neurobiol. 2018;44:139-50.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radiogenomics: bridging the gap between imaging and genomics for precision oncology;MedComm;2024-09

2. Novel Imaging Approaches for Glioma Classification in the Era of the World Health Organization 2021 Update: A Scoping Review;Cancers;2024-05-08

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