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 …
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 …
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
Objective H3K27M mutation in gliomas has prognostic implications. Previous magnetic
resonance imaging (MRI) studies have reported variable rates of tumoral enhancement …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
We aimed to investigate the capacity of quantitative MR imaging variables in identifying the …
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