Isocitrate Dehydrogenase

Shuffle-ResNet: Deep learning for predicting LGG IDH1 mutation from multicenter anatomical MRI sequences.

Biomedical physics & engineering express 36326618

The world health organization recommended to incorporate gene information such as isocitrate dehydrogenase 1 (IDH1) mutation status to improve prognosis, diagnosis, and treatment of the central nervous system tumors. We proposed our Shuffle Residual ...

Brain Neoplasms Deep Learning Disease Progression Glioma Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Mutation Retrospective Studies

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Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.

Journal of neurosurgery 36461822

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.

Adult Aged Brain Neoplasms Deep Learning DNA Modification Methylases DNA Repair Enzymes Female Glioblastoma Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Male Middle Aged Mutation Neural Networks, Computer Prognosis Radiomics Semantics Tumor Suppressor Proteins X-linked Nuclear Protein

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Code-free machine learning for classification of central nervous system histopathology images.

Journal of neuropathology and experimental neurology 36734664

Machine learning (ML), an application of artificial intelligence, is currently transforming the analysis of biomedical data and specifically of biomedical images including histopathology. The promises of this technology contrast, however, with its cu...

Artificial Intelligence Brain Neoplasms Central Nervous System Humans Isocitrate Dehydrogenase Machine Learning Mutation

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Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning.

Neuro-oncology 35788352

BACKGROUND: Accurate characterization of glioma is crucial for clinical decision making. A delineation of the tumor is also desirable in the initial decision stages but is time-consuming. Previously, deep learning methods have been developed that can...

Brain Neoplasms Chromosome Aberrations Deep Learning Glioma Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Mutation Neoplasm Grading

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MRI-based deep learning techniques for the prediction of isocitrate dehydrogenase and 1p/19q status in grade 2-4 adult gliomas.

Journal of medical imaging and radiation oncology 36919468

Molecular biomarkers are becoming increasingly important in the classification of intracranial gliomas. While tissue sampling remains the gold standard, there is growing interest in the use of deep learning (DL) techniques to predict these markers. T...

Adult Brain Neoplasms Deep Learning Glioma Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Mutation

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Editorial for "Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI".

Journal of magnetic resonance imaging : JMRI 37306402

Astrocytoma Brain Neoplasms Cyclin-Dependent Kinase Inhibitor p16 Deep Learning Homozygote Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Mutation Radiomics Sequence Deletion

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[A Dual-Aware deep learning framework for identification of glioma isocitrate dehydrogenase genotype using magnetic resonance amide proton transfer modalities].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University 37712275

OBJECTIVE: To propose a Dual-Aware deep learning framework for genotyping of isocitrate dehydrogenase (IDH) in gliomas based on magnetic resonance amide proton transfer (APT) modality data as a means to assist non-invasive diagnosis of gliomas.

Amides Contrast Media Deep Learning Genotype Glioma Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Protons

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Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI.

Journal of magnetic resonance imaging : JMRI 37555723

BACKGROUND: Cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion has been verified as an independent and critical biomarker of negative prognosis and short survival in isocitrate dehydrogenase (IDH)-mutant astrocytoma. Therefore, non...

Astrocytoma Cyclin-Dependent Kinase Inhibitor p16 Deep Learning Homozygote Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Radiomics Retrospective Studies Sequence Deletion

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A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma.

European radiology 37553486

OBJECTIVES: To develop a high-accuracy MRI-based deep learning method for predicting cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion status in isocitrate dehydrogenase (IDH)-mutant astrocytoma.

Astrocytoma Brain Neoplasms Cyclin-Dependent Kinase Inhibitor p16 Deep Learning Glioma Homozygote Humans Isocitrate Dehydrogenase Magnetic Resonance Imaging Mutation Sequence Deletion

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Response to "Medical Statistics Unlock the Gateway to Further Research: Using Deep Learning to Predict CDKN2A/B Homozygous Deletion in Isocitrate Dehydrogenase-Mutant Astrocytoma".

Korean journal of radiology 38016689

Astrocytoma Cyclin-Dependent Kinase Inhibitor p16 Deep Learning Homozygote Humans Isocitrate Dehydrogenase Public Health Sequence Deletion

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Shuffle-ResNet: Deep learning for predicting LGG IDH1 mutation from multicenter anatomical MRI sequences.

Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.

Code-free machine learning for classification of central nervous system histopathology images.

Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning.

MRI-based deep learning techniques for the prediction of isocitrate dehydrogenase and 1p/19q status in grade 2-4 adult gliomas.

Editorial for "Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI".

[A Dual-Aware deep learning framework for identification of glioma isocitrate dehydrogenase genotype using magnetic resonance amide proton transfer modalities].

Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI.

A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma.

Response to "Medical Statistics Unlock the Gateway to Further Research: Using Deep Learning to Predict CDKN2A/B Homozygous Deletion in Isocitrate Dehydrogenase-Mutant Astrocytoma".

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