Machine Learning-Based Prediction of Glioma <i>IDH</i> Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study).

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第一作者： Andreas,Stadlbauer

第一单位： Karl Landsteiner University of Health Sciences, 3500 Krems, Austria.

作者： Andreas,Stadlbauer ^[1] ; Katarina,Nikolic ^[2] ; Stefan,Oberndorfer ^[3] ; Franz,Marhold ^[1] ; Thomas M,Kinfe ^[4] ; Anke,Meyer-Bäse ^[1] ; Diana Alina,Bistrian ^[4] ; Oliver,Schnell ^[1] ; Arnd,Doerfler ^[5]

作者单位： Karl Landsteiner University of Health Sciences, 3500 Krems, Austria. ^[1] Institute of Medical Radiology, Diagnostics, Intervention, University Hospital St. Pölten, 3100 St. Pölten, Austria. ^[2] Department of Neurosurgery, Universitätsklinikum Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany. ^[3] Division of Neurology, University Hospital St. Pölten, 3100 St. Pölten, Austria. ^[4] Division of Neurosurgery, University Hospital St. Pölten, 3100 St. Pölten, Austria. ^[5] Division of Functional Neurosurgery and Stereotaxy, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany. ^[6] Department of Scientific Computing, Florida State University, 400 Dirac Science Library Tallahassee, Tallahassee, FL 32306-4120, USA. ^[7] Department of Electrical Engineering and Industrial Informatics, Politehnica University of Timisoara, 300006 Timișoara, Romania. ^[8] Department of Neuroradiology, Universitätsklinikum Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany. ^[9]

关键词 IDH gene mutation artificial intelligence deep learning glioma isocitrate dehydrogenase gene machine learning neurooncology physio-metabolic MRI preoperative classification

DOI 10.3390/cancers16061102

PMID 38539436

发布时间 2024-03-30

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