The Value of Cerebral Blood Volume Derived from Dynamic Susceptibility Contrast Perfusion MRI in Predicting IDH Mutation Status of Brain Gliomas—A Systematic Review and Meta-Analysis Martínez Barbero, José Pablo Pérez García, Francisco Javier Jiménez Gutierrez, Paula María García Cerezo, Marta López Cornejo, David Olivares Granados, Gonzalo Benítez, José Manuel Láinez Ramos-Bossini, Antonio Jesús Glioma Brain Magnetic resonance imaging Background: Dynamic susceptibility contrast perfusion MRI (DSC-MRI) is a promising non-invasive examination to predict histological and molecular characteristics of brain gliomas. However, the diagnostic accuracy of relative cerebral blood volume (rCBV) is heterogeneously reported in the literature. This systematic review and metaanalysis aims to assess the diagnostic accuracy of mean rCBV derived from DSC-MRI in differentiating Isocitrate Dehydrogenase (IDH)-mutant from IDH-wildtype gliomas. Methods: A comprehensive literature search was conducted in PubMed,Web of Science, and EMBASE up to January 2025, following PRISMA guidelines. Eligible studies reported mean CBV values in treatment-naïve gliomas with histologically confirmed IDH status. Pooled estimates of standardized mean differences (SMDs), diagnostic odds ratios (DOR), and area under the receiver-operating characteristic curve (AUC) were computed using a random-effects model. Heterogeneity was assessed via I2 statistic. Meta-regression analyses were also performed. Results: An analysis of 18 studies (n = 1733) showed that mean rCBV is significantly lower in IDH-mutant gliomas (SMD = −0.86; p < 0.0001). The pooled AUC was 0.80 (95% CI, 0.75–0.90), with moderate sensitivity and specificity. Meta-regression revealed no significant influence of DSC-MRI acquisition parameters, although a flip angle showed a trend toward significance (p = 0.055). Conclusions: Mean rCBV is a reliable imaging biomarker for IDH mutation status in gliomas, demonstrating good diagnostic performance. However, heterogeneity in acquisition parameters and post-processing methods limits generalizability of results. Future research should focus on standardizing DSC-MRI protocols. 2025-05-23T11:33:39Z 2025-05-23T11:33:39Z 2025-04-01 journal article Martínez Barbero, J.P.; Pérez García, F.J.; Jiménez Gutiérrez, P.M.; García Cerezo, M.; López Cornejo, D.; Olivares Granados, G.; Benítez, J.M.; Láinez Ramos-Bossini, A.J. The Value of Cerebral Blood Volume Derived from Dynamic Susceptibility Contrast Perfusion MRI in Predicting IDH Mutation Status of Brain Gliomas—A Systematic Review and Meta-Analysis. Diagnostics 2025, 15, 896. [https://doi.org/10.3390/diagnostics15070896] https://hdl.handle.net/10481/104222 10.3390/diagnostics15070896 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional MDPI