@article {Bhandari, author = {A.P. Bhandari and R. Liong and J. Koppen and S.V. Murthy and A. Lasocki}, title = {Noninvasive Determination of IDH and 1p19q Status of Lower-grade Gliomas Using MRI Radiomics: A Systematic Review}, year = {2020}, doi = {10.3174/ajnr.A6875}, publisher = {American Journal of Neuroradiology}, 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 ({\textquotedblleft}radiomics{\textquotedblright}) 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{\textendash}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.AIartificial intelligenceAUCarea under the curveCNNconvolutional neural networkIDHisocitrate dehydrogenaseIDH-mutIDH-mutantLGGlower-grade gliomasMLmachine learningPRISMA-DTAPreferred Reporting Items for Systematic Reviews and Meta-Analyses for Diagnostic Test AccuracyQUADAS-2Quality Assessment of Diagnostic Accuracy Studies 2RQSradiomics quality scoreSVMsupport vector machineVASARIVisually Accessible Rembrandt ImagesWHOWorld Health Organization}, issn = {0195-6108}, URL = {https://www.ajnr.org/content/early/2020/11/26/ajnr.A6875}, eprint = {https://www.ajnr.org/content/early/2020/11/26/ajnr.A6875.full.pdf}, journal = {American Journal of Neuroradiology} }