Magnetic resonance analysis of malignant transformation in recurrent glioma

Infiltrating low-grade gliomas (LGGs) are a class of terminal central nervous system tumors that comprise malignant neuroglia. Histopathological diagnosis of tumor grade is performed using criteria set by the World Health Organization (WHO) and is based on factors that include nuclear atypia, proliferative capacity, tumor neovascularization, and necrosis.1 The clinical outcome for patients with LGG is variable, with some lesions following a more indolent disease course, while others recur more rapidly and often after undergoing malignant transformation (MT) to a higher grade.2 Lesions that have thus transformed to a grade III anaplastic glioma or grade IV secondary glioblastoma multiforme (GBM) are managed with additional, more aggressive treatments. To date, little is known regarding the nature of recurrent disease, and the most significant prognostic factors for patients diagnosed with LGG are the presence of somatic driver mutations in isocitrate dehydrogenase 1 and 2 (IDH1/2) oncogenes and the codeletion of the 1p and 19q chromosomal arms, which have been associated with increased survival and sensitivity to the treatment given.2–5 IDH mutations have been implicated as an initiating event in gliomagenesis and are key to reprogramming the tumor epigenome and metabolome, largely through neomorphic production and accumulation of 2-hydroxyglutarate.6 Given uncertainties regarding the effectiveness of options available for treating LGGs, IDH mutations have garnered significant attention as a targetable therapeutic pathway, and there are several novel therapies on the horizon.7–9 Until these therapeutics become available, the clinical mainstay of treatment for patients with LGG consists of surgical resection, with radiation therapy and alkylating chemotherapy being typically reserved for recurrences that were either subtotally resected or have undergone MT. MRI is an integral component of brain tumor diagnosis and monitoring. Recent advances in state-of-the-art techniques have enabled the noninvasive assessment of tumor morphology and physiology, with primary GBM having been studied most extensively. Although the ability to noninvasively detect MT would be of significant clinical interest for diagnosis and treatment planning, few studies have focused on addressing this question. Multiparametric MRI holds significant promise for comprehensively characterizing the structural and physiological properties of the tumor. We hypothesize that these advanced imaging techniques may also provide improved characterization of MT in patients with recurrent LGG. The objective of this study was to establish multiparametric MRI profiles of patients with tumors prior to image-guided surgery in order to relate metrics obtained from these methodologies to histopathological grade. Volumetric regions with abnormal imaging features were calculated to provide a robust assessment of the entire recurrent tumor lesion. Regions of viable tumor were targeted for image-guided tissue sampling in order to associate in vivo parameters with histopathological features and to strengthen our understanding of the link between glioma tumor biology and parameters from noninvasive imaging.