AIMC Topic: DNA Repair Enzymes
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A predictive model for MGMT promoter methylation status in glioblastoma based on terahertz spectral data.
Analytical biochemistry
Mar 29, 2025
O-methylguanine-DNA methyltransferase (MGMT) promoter methylation is a crucial biomarker in glioblastoma (GBM) that influences response to temozolomide. Traditional detection methods, such as gene sequencing, are time-consuming and limited to postope...
Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT-methylation status, age and sex.
Acta neurochirurgica
Feb 24, 2025
PURPOSE: Machine Learning (ML) has become an essential tool for analyzing biomedical data, facilitating the prediction of treatment outcomes and patient survival. However, the effectiveness of ML models heavily relies on both the choice of algorithms...
Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach.
Scientific reports
Jan 25, 2025
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both M...
Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions.
Cancer imaging : the official publication of the International Cancer Imaging Society
Dec 23, 2024
OBJECTIVE: This study aims to evaluate the effectiveness of deep learning features derived from multi-sequence magnetic resonance imaging (MRI) in determining the O-methylguanine-DNA methyltransferase (MGMT) promoter methylation status among glioblas...
AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings.
Scientific reports
Nov 14, 2024
Glioblastoma is an aggressive brain cancer with a poor prognosis. The O6-methylguanine-DNA methyltransferase (MGMT) gene methylation status is crucial for treatment stratification, yet economic constraints often limit access. This study aims to devel...
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models.
Medical image analysis
Oct 6, 2023
The number of studies on deep learning for medical diagnosis is expanding, and these systems are often claimed to outperform clinicians. However, only a few systems have shown medical efficacy. From this perspective, we examine a wide range of deep l...
A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI.
Journal of digital imaging
Jan 5, 2023
Glioblastoma (GBM) is the most common primary malignant brain tumor in adults. The standard treatment for GBM consists of surgical resection followed by concurrent chemoradiotherapy and adjuvant temozolomide. O-6-methylguanine-DNA methyltransferase (...
Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.
Journal of neurosurgery
Dec 2, 2022
OBJECTIVE: The aim of this study was to build a convolutional neural network (CNN)-based prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with multimodal features.
The role of deep learning-based survival model in improving survival prediction of patients with glioblastoma.
Cancer medicine
Aug 28, 2021
This retrospective study has been conducted to validate the performance of deep learning-based survival models in glioblastoma (GBM) patients alongside the Cox proportional hazards model (CoxPH) and the random survival forest (RSF). Furthermore, the ...
Karnofsky Performance Status
Middle Aged
Deep Learning
Tumor Suppressor Proteins
Female
Humans
Age Factors
Bayes Theorem
Proportional Hazards Models
Aged
Retrospective Studies
Predictive Value of Tests
Sex Factors
Chemoradiotherapy
Adult
Glioblastoma
Radiotherapy
Survival Analysis
Brain Neoplasms
Isocitrate Dehydrogenase
DNA Modification Methylases
Male
DNA Repair Enzymes
MRI-Based Deep-Learning Method for Determining Glioma Promoter Methylation Status.
AJNR. American journal of neuroradiology
Mar 4, 2021
BACKGROUND AND PURPOSE: () promoter methylation confers an improved prognosis and treatment response in gliomas. We developed a deep learning network for determining promoter methylation status using T2 weighted Images (T2WI) only.
Glioma
Sensitivity and Specificity
Magnetic Resonance Imaging
Humans
Brain Neoplasms
DNA Methylation
DNA Repair Enzymes
Male
Neural Networks, Computer
Area Under Curve
Tumor Suppressor Proteins
Reproducibility of Results
Middle Aged
DNA Modification Methylases
Promoter Regions, Genetic
Deep Learning
Aged
Adult
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