Journal Article

Perfusion and diffusion MRI signatures in histologic and genetic subtypes of WHO grade II–III diffuse gliomas

Pope, Whitney B., Leu, Kevin, Ellingson, Benjamin M., Nghiemphu, Phioanh L., Ott, Garrett A., Lai, Albert, Liau, Linda M., Yong, William H., Cloughesy, Timothy F.

2017

Overview

The value of perfusion and diffusion-weighted MRI in differentiating histological subtypes according to the 2007 WHO glioma classification scheme (i.e. astrocytoma vs. oligodendroglioma) and genetic subtypes according to the 2016 WHO reclassification (e.g. 1p/19q co-deletion and IDH1 mutation status) in WHO grade II and III diffuse gliomas remains controversial. In the current study, we describe unique perfusion and diffusion MR signatures between histological and genetic glioma subtypes. Sixty-five patients with 2007 histological designations (astrocytomas and oligodendrogliomas), 1p/19q status (+ = intact/− = co-deleted), and IDH1 mutation status (MUT/WT) were included in this study. In all patients, median relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC) were estimated within T2 hyperintense lesions. Bootstrap hypothesis testing was used to compare subpopulations of gliomas, separated by WHO grade and 2007 or 2016 glioma classification schemes. A multivariable logistic regression model was also used to differentiate between 1p19q + and 1p19q − WHO II–III gliomas. Neither rCBV nor ADC differed significantly between histological subtypes of pure astrocytomas and pure oligodendrogliomas. ADC was significantly different between molecular subtypes (p = 0.0016), particularly between IDH WT and IDH MUT /1p19q + (p = 0.0013). IDH MUT /1p19q + grade III gliomas had higher median ADC; IDH WT grade III gliomas had higher rCBV with lower ADC; and IDH MUT /1p19q − had intermediate rCBV and ADC values, similar to their grade II counterparts. A multivariable logistic regression model was able to differentiate between IDH WT and IDH MUT WHO II and III gliomas with an AUC of 0.84 (p < 0.0001, 74% sensitivity, 79% specificity). Within IDH MUT WHO II–III gliomas, a separate multivariable logistic regression model was able to differentiate between 1p19q + and 1p19q − WHO II–III gliomas with an AUC of 0.80 (p = 0.0015, 64% sensitivity, 82% specificity). ADC better differentiated between genetic subtypes of gliomas according to the 2016 WHO guidelines compared to the classification scheme outlined in the 2007 WHO guidelines based on histological features of the tissue. Results suggest a combination of rCBV, ADC, T2 hyperintense volume, and presence of contrast enhancement together may aid in non-invasively identifying genetic subtypes of diffuse gliomas.

• Publisher: Springer US,Springer Nature B.V
• Subject: Adult / Aged / Aged, 80 and over / Area Under Curve / Astrocytoma / Brain cancer / Brain Neoplasms - classification / Brain Neoplasms - diagnostic imaging / Brain Neoplasms - genetics / Brain tumors / Cerebral blood flow / Cerebral Blood Volume - genetics / Chromosome Deletion / Chromosomes, Human, Pair 1 - genetics / Classification / Classification schemes / Clinical Study / Diffusion coefficient / Diffusion Magnetic Resonance Imaging / Female / Gene deletion / Glioma / Glioma - classification / Glioma - diagnostic imaging / Glioma - genetics / Humans / Image Processing, Computer-Assisted / Isocitrate Dehydrogenase - genetics / Magnetic Resonance Angiography / Magnetic resonance imaging / Male / Medicine / Medicine & Public Health / Middle Aged / Mutation / Mutation - genetics / Neurology / Oligodendroglioma / Oncology / Perfusion / Reclassification / Retrospective Studies / Statistics, Nonparametric / Subpopulations / World Health Organization / Young Adult