Noninvasive Determination of IDH and 1p19q Status of Lower-grade Gliomas Using MRI Radiomics: A Systematic Review

Bhandari, AP; Liong, R; Koppen, J; Murthy, SV; Lasocki, A

Author(s): Bhandari, AP; Liong, R; Koppen, J; Murthy, SV; Lasocki, A;
Details: Publication Year 2021-01,Volume 42,Issue #1,Page 94-101
Journal Title: American Journal of Neuroradiology
Publication Type: Review
Abstract: BACKGROUND: Determination of isocitrate dehydrogenase (IDH) status and, if IDH-mutant, assessing 1p19q codeletion are an important component of diagnosis of World Health Organization grades II/III or lower-grade gliomas. This has led to research into noninvasively correlating imaging features ("radiomics") with genetic status. PURPOSE: Our aim was to perform a diagnostic test accuracy systematic review for classifying IDH and 1p19q status using MR imaging radiomics, to provide future directions for integration into clinical radiology. DATA SOURCES: Ovid (MEDLINE), Scopus, and the Web of Science were searched in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Diagnostic Test Accuracy guidelines. STUDY SELECTION: Fourteen journal articles were selected that included 1655 lower-grade gliomas classified by their IDH and/or 1p19q status from MR imaging radiomic features. DATA ANALYSIS: For each article, the classification of IDH and/or 1p19q status using MR imaging radiomics was evaluated using the area under curve or descriptive statistics. Quality assessment was performed with the Quality Assessment of Diagnostic Accuracy Studies 2 tool and the radiomics quality score. DATA SYNTHESIS: The best classifier of IDH status was with conventional radiomics in combination with convolutional neural network-derived features (area under the curve = 0.95, 94.4% sensitivity, 86.7% specificity). Optimal classification of 1p19q status occurred with texture-based radiomics (area under the curve = 0.96, 90% sensitivity, 89% specificity). LIMITATIONS: A meta-analysis showed high heterogeneity due to the uniqueness of radiomic pipelines. CONCLUSIONS: Radiogenomics is a potential alternative to standard invasive biopsy techniques for determination of IDH and 1p19q status in lower-grade gliomas but requires translational research for clinical uptake.
Keywords: Adult; Brain Neoplasms/*diagnosis/genetics/pathology; Chromosomes, Human, Pair 1/*genetics; Female; Glioma/*diagnosis/genetics/pathology; Humans; Isocitrate Dehydrogenase/*genetics; *Machine Learning; Magnetic Resonance Imaging/methods; Male; Middle Aged; Mutation
Department(s): Cancer Imaging
PubMed ID: 33243896
Publisher's Version: https://doi.org/10.3174/ajnr.A6875
Open Access at Publisher's Site: https://doi.org/10.3174/ajnr.A6875
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2025-06-06 07:51:51

Last Modified: 2025-06-06 07:57:04