The performance of Machine Learning for prediction of H3K27M Mutation in Midline Gliomas; A Systematic Review and Meta-Analysis

MA Habibi, F Aghaei, Z Tajabadi, MS Mirjani… - World Neurosurgery, 2023 - Elsevier
Abstract Background Diffuse midline gliomas (DMGs) encompass a set of tumors, and those
tumors with H3K27M mutation carry a poor prognosis. In recent years, machine learning …

Deep learning for noninvasive assessment of H3 K27M mutation status in diffuse midline gliomas using MR imaging

J Li, P Zhang, L Qu, T Sun, Y Duan… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Determination of H3 K27M mutation in diffuse midline glioma (DMG) is key for
prognostic assessment and stratifying patient subgroups for clinical trials. MRI can …

Machine learning-based multiparametric magnetic resonance imaging radiomics for prediction of H3K27M mutation in midline gliomas

SG Kandemirli, B Kocak, S Naganawa, K Ozturk… - World neurosurgery, 2021 - Elsevier
Objective H3K27M mutation in gliomas has prognostic implications. Previous magnetic
resonance imaging (MRI) studies have reported variable rates of tumoral enhancement …

Multiparametric MRI-based radiomics model for predicting H3 K27M mutant status in diffuse midline glioma: a comparative study across different sequences and …

W Guo, D She, Z Xing, X Lin, F Wang, Y Song… - Frontiers in …, 2022 - frontiersin.org
Objectives The performance of multiparametric MRI-based radiomics models for predicting
H3 K27M mutant status in diffuse midline glioma (DMG) has not been thoroughly evaluated …

Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain

X Su, N Chen, H Sun, Y Liu, X Yang, W Wang… - Neuro …, 2020 - academic.oup.com
Background Conventional MRI cannot be used to identify H3 K27M mutation status. This
study aimed to investigate the feasibility of predicting H3 K27M mutation status by applying …

Deep learning‐based prediction of H3K27M alteration in diffuse midline gliomas based on whole‐brain MRI

B Huang, Y Zhang, Q Mao, Y Ju, Y Liu, Z Su… - Cancer …, 2023 - Wiley Online Library
Abstract Background H3K27M mutation status significantly affects the prognosis of patients
with diffuse midline gliomas (DMGs), but this tumor presents a high risk of pathological …

A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features

CC Pan, J Liu, J Tang, X Chen, F Chen, Y Wu… - Radiotherapy and …, 2019 - Elsevier
Abstract Background H3K27M is the most frequent mutation in brainstem gliomas (BSGs),
and it has great significance in the differential diagnosis, prognostic prediction and treatment …

Prediction of H3K27M mutation status of diffuse midline gliomas using MRI features

RS Chauhan, K Kulanthaivelu, N Kathrani… - Journal of …, 2021 - Wiley Online Library
Abstract Background and Purpose Presurgical prediction of H3K27M mutation in diffuse
midline gliomas (DMGs) on MRI is desirable. The purpose of this study is to elaborate …

Prediction of H3 K27M-mutant in midline gliomas by magnetic resonance imaging: a systematic review and meta-analysis

T Hua, Z Zhuo, Y Duan, X Li, H Gu, S Haller, P Zhang… - Neuroradiology, 2022 - Springer
Purpose To summarize the predictive value of MRI for H3 K27M-mutant in midline gliomas
using meta-analysis. Methods Systematic electronic searches of the PubMed, Embase, ISI …

Multimodal MR imaging signatures to identify brain diffuse midline gliomas with H3 K27M mutation

X Su, Y Liu, H Wang, N Chen, H Sun, X Yang… - Cancer …, 2022 - Wiley Online Library
Background Conventional MR imaging has limited value in identifying H3 K27M mutations.
We aimed to investigate the capacity of quantitative MR imaging variables in identifying the …