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Neuroradiology. 2019 May;61(5):545-555. doi: 10.1007/s00234-019-02173-5. Epub 2019 Feb 2.

Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach.

Author information

1
Department of Radiology, Oslo University Hospital-Rikshospitalet, 4950 Nydalen, 0424, Oslo, Norway. alatysheva@ous-hf.no.
2
Department of Diagnostic Physics, Oslo University Hospital-Rikshospitalet, Oslo, Norway.
3
Department of Oncology, Oslo University Hospital-Radiumhospitalet, Oslo, Norway.
4
Department of Neurosurgery, Oslo University Hospital-Rikshospitalet, Oslo, Norway.
5
Faculty of Medicine, University of Oslo, Oslo, Norway.
6
Department of Neuro-/Pathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Oslo, Norway.
7
University of Lübeck, LIED, Lübeck, Germany.
8
Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
9
Department of Radiology, Oslo University Hospital-Rikshospitalet, 4950 Nydalen, 0424, Oslo, Norway.

Abstract

PURPOSE:

According to the revised World Health Organization (WHO) Classification of Tumors of the Central Nervous System (CNS) of 2016, oligodendrogliomas are now defined primarily by a specific molecular signature (presence of IDH mutation and 1p19q codeletion). The purpose of our study was to assess the value of dynamic susceptibility contrast MR imaging (DSC-MRI) and diffusion-weighted imaging (DWI) to characterize oligodendrogliomas and to distinguish them from astrocytomas.

METHODS:

Seventy-one adult patients with untreated WHO grade II and grade III diffuse infiltrating gliomas and known 1p/19q codeletion status were retrospectively identified and analyzed using relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC) maps based on whole-tumor volume histograms. The Mann-Whitney U test and logistic regression were used to assess the ability of rCBV and ADC to differentiate between oligodendrogliomas and astrocytomas both independently, but also related to the WHO grade. Prediction performance was evaluated in leave-one-out cross-validation (LOOCV).

RESULTS:

Oligodendrogliomas showed significantly higher microvascularity (higher rCBVMean ≥ 0.80, p = 0.013) and higher vascular heterogeneity (lower rCBVPeak ≤ 0.044, p = 0.015) than astrocytomas. Diffuse gliomas with higher cellular density (lower ADCMean ≤ 1094 × 10-6 mm2/s, p = 0.009) were more likely to be oligodendrogliomas than astrocytomas. Histogram analysis of rCBV and ADC was able to differentiate between diffuse astrocytomas (WHO grade II) and anaplastic astrocytomas (WHO grade III).

CONCLUSION:

Histogram-derived rCBV and ADC parameter may be used as biomarkers for identification of oligodendrogliomas and may help characterize diffuse gliomas based upon their genetic characteristics.

KEYWORDS:

Diffuse glioma; Diffusion MRI; Perfusion MRI

PMID:
30712139
DOI:
10.1007/s00234-019-02173-5

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