Detection of occult neoplastic infiltration in the corpus callosum and prediction of overall survival in patients with glioblastoma using diffusion tensor imaging



Mohan, S, Wang, S, Coban, G, Kural, F, Chawla, S, O'Rourke, DM and Poptani, H
(2019) Detection of occult neoplastic infiltration in the corpus callosum and prediction of overall survival in patients with glioblastoma using diffusion tensor imaging. European Journal of Radiology, 112. 106 - 111.

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Abstract

© 2019 Elsevier B.V. Objective: Corpus callosum (CC) involvement is a poor prognostic factor in patients with glioblastoma (GBM). The purpose of this study was to determine whether diffusion tensor imaging (DTI) can quantify occult tumor infiltration in the CC and predict the overall survival in GBM patients. Methods: Forty-eight patients with pathologically proven GBM and 17 normal subjects were included in this retrospective study. Patients were divided into four groups based on CC invasion and overall survival: long survivors without CC invasion; short survivors without CC invasion; long survivors with CC invasion; short survivors with CC invasion. All patients underwent DTI at 3T MRI scanner. Fractional anisotropy (FA) and mean diffusivity (MD) values were measured from genu, mid-body, and splenium of the CC. The mean values of these parameters were compared between different groups and Kaplan Meier curves were used for prediction of overall survival. Results: Patients with short survival and CC invasion had the lowest FA values (0.64 ± 0.05) from the CC compared with other groups (p < 0.05). Receiver operator characteristic curve (ROC) analysis indicated that a FA cutoff value of 0.70 was the best predictor for overall survival with an area under the curve (AUC) of 0.77, sensitivity 1, specificity 0.59. Kaplan-Meier survival curves demonstrated that the mean survival time was significantly longer for patients with high FA (>0.70) compared with those with low FA (<0.70) (p < 0.001). Conclusions: FA values from the CC can quantify occult tumor infiltration and serve as a sensitive prognostic marker for prediction of overall survival in GBM patients.

Item Type: Article
Uncontrolled Keywords: Glioblastoma, Diffusion tensor imaging, Corpus callosum, Prognosis, Survival
Depositing User: Symplectic Admin
Date Deposited: 28 Jan 2019 09:41
Last Modified: 10 Jun 2022 16:10
DOI: 10.1016/j.ejrad.2019.01.015
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3031840