Mapping of metabolic heterogeneity of glioma using mr‐spectroscopy

Franco P, Huebschle I, Simon‐gabriel CP, Dacca K, Schnell O, Beck J, Mast H, Urbach H, Wuertemberger U, Prinz M, Hosp JA, Delev D, Mader I, Heiland DH (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Cancers MDPI

Book Volume: 13

Article Number: 2417

Journal Issue: 10

DOI: 10.3390/cancers13102417

Abstract

Proton magnetic resonance spectroscopy (1H‐MRS) delivers information about the noninvasive metabolic landscape of brain pathologies.1H‐MRS is used in clinical setting in addition to MRI for diagnostic, prognostic and treatment response assessments, but the use of this radiological tool is not entirely widespread. The importance of developing automated analysis tools for1H‐MRS lies in the possibility of a straightforward application and simplified interpretation of metabolic and genetic data that allow for incorporation into the daily practice of a broad audience. Here, we report a prospective clinical imaging trial (DRKS00019855) which aimed to develop a novel MR‐spectroscopy‐based algorithm for in‐depth characterization of brain lesions and prediction of molecular traits. Dimensional reduction of metabolic profiles demonstrated distinct patterns throughout pathologies. We combined a deep autoencoder and multi‐layer linear discriminant models for voxelwise prediction of the molecular profile based on MRS imaging. Molecular subtypes were predicted by an overall accuracy of 91.2% using a classifier score. Our study indicates a first step into combining the metabolic and molecular traits of lesions for advancing the preoperative diagnostic workup of brain tumors and improve personalized tumor treatment.

Authors with CRIS profile

Oliver Schnell
Dieter Henrik Heiland

Involved external institutions

Universitätsklinikum Freiburg DE Germany (DE) Albert-Ludwigs-Universität Freiburg DE Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE)

How to cite

APA:

Franco, P., Huebschle, I., Simon‐gabriel, C.P., Dacca, K., Schnell, O., Beck, J.,... Heiland, D.H. (2021). Mapping of metabolic heterogeneity of glioma using mr‐spectroscopy. Cancers, 13(10). https://doi.org/10.3390/cancers13102417

MLA:

Franco, Pamela, et al. "Mapping of metabolic heterogeneity of glioma using mr‐spectroscopy." Cancers 13.10 (2021).

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