Isocitrate dehydrogenase

Segmentation

Enzyme

Magnetic resonance imaging

Computer science

Brain tumor

Nuclear medicine

Mathematics

Biology

Internal medicine

Radiology

Pathology

Medicine

Dice

Receiver operating characteristic

Artificial intelligence

Geometry

Biochemistry

Neuro-Oncology

Isocitrate dehydrogenase (IDH) mutation status has emerged as an important prognostic marker in gliomas. Currently, reliable IDH mutation determination requires invasive surgical procedures. The purpose of this study was to develop a highly accurate, MRI-based, voxelwise deep-learning IDH classification network using T2-weighted (T2w) MR images and compare its performance to a multicontrast network.Multiparametric brain MRI data and corresponding genomic information were obtained for 214 subjects (94 IDH-mutated, 120 IDH wild-type) from The Cancer Imaging Archive and The Cancer Genome Atlas. Two separate networks were developed, including a T2w image-only network (T2-net) and a multicontrast (T2w, fluid attenuated inversion recovery, and T1 postcontrast) network (TS-net) to perform IDH classification and simultaneous single label tumor segmentation. The networks were trained using 3D Dense-UNets. Three-fold cross-validation was performed to generalize the networks' performance. Receiver operating characterist...

Retracted: A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas