Published December 2016 | Version v1
Journal article

Analysis of fractional anisotropy facilitates differentiation of glioblastoma and brain metastases in a clinical setting

  • 1. Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich (Germany)
  • 2. Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich (Germany)

Description

Purpose: Differentiating glioblastoma from brain metastases is important for therapy planning. Diffusion tensor imaging (DTI) was described as a promising tool, however with conflicting results. Aim: of this study was to analyze the clinical utility of DTI for the differentiation of brain metastases and glioblastoma. Methods: 294 patients (165 glioblastoma, 129 brain metastases) with preoperative DTI were included in this retrospective study. Fractional anisotropy (FA) was measured via regions of interest (ROIs) in the contrast-enhancing tumor, the necrosis and the FLAIR-hyperintense non-enhancing peritumoral region (NEPTR). Two neuroradiologists classified patient cases as glioblastoma or brain metastases without and with knowledge of FA values. Results: Glioblastoma showed significantly higher FAcontrast (median glioblastoma = 0.33, metastases = 0.23; P < 0.001) whereas no significant difference was observed for FANEPTR (0.21 vs. 0.22; P = 0.28) and for FAnecrosis (0.17 vs. 0.18, P = 0.37). FA improved diagnostic accuracy of the neuroradiologists significantly from an AUC of 0.84/0.85 (Reader1/Reader2) to 0.89/0.92. Conclusions: Glioblastoma show significantly higher FA values in the contrast enhancing tumor part than brain metastases. Implementation of a ROI-based measurement of FA values and FA color maps in clinical routine helps to differentiate between glioblastoma and brain metastases.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2016.10.002

Additional details

Identifiers

DOI
10.1016/j.ejrad.2016.10.002;
PII
S0720-048X(16)30300-X;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
85
Journal Issue
12
Journal Page Range
p. 2182-2187
ISSN
0720-048X
CODEN
EJRADR

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49006177
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ANISOTROPY; BIOMEDICAL RADIOGRAPHY; BRAIN; GLIOMAS
Descriptors DEC
BODY; CENTRAL NERVOUS SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; MEDICINE; NEOPLASMS; NERVOUS SYSTEM; NERVOUS SYSTEM DISEASES; NUCLEAR MEDICINE; ORGANS; RADIOLOGY

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.