Can Diffusion Tensor Metrics Help in Preoperative Grading of Diffusely Infiltrating Astrocytomas? A Retrospective Study of 36 Cases

Overview

Journal Neuroradiology

Specialties Neurology
Radiology

Date 2010 Sep 3

PMID 20809287

Citations 12

Authors

Milan Jolapara

Satya Narayan Patro

Chandrasekharan Kesavadas

Jitender Saini

Bejoy Thomas

Arun Kumar Gupta

Narendra Bodhey

Vishnupuri Venkatraman Radhakrishnan

Affiliations

Soon will be listed here.

Abstract

Introduction: Diffusion weighted imaging and diffusion tensor imaging (DTI) give information about the amount and directionality of water diffusion occurring in a given tissue. Here we study the role of diffusion tensor metrics including fractional anisotropy (FA) and spherical anisotropy (CS) in preoperative grading of diffusely infiltrating astrocytomas.

Methods: We performed DTI in 38 patients with pathologically proven diffusely infiltrating astrocytomas, who were classified into two groups, i.e., 15 patients with high-grade astrocytoma (HGAs, WHO grade III and IV) and 23 patients with low-grade astrocytoma (LGAs, WHO grade II). We measured maximum FA and minimum CS values in all cases from tumor. Histopathological diagnosis was established in all cases.

Results: The mean maximum FA values were higher in HGA (0.583 ± 0.104) than LGA (0.295 ± 0.058), while mean minimum CS values were lower in HGA (0.42 ± 0.121) than LGA (0.722 ± 0.061). The difference in the diffusion tensor indices between HGA and LGA was found to be statistically significant with P value of <0.001. Keeping cutoff FA value of 0.4, all HGAs showed higher maximum FA values, and all LGAs showed lower maximum FA values. Also, all HGAs showed minimum CS values less than a cutoff value of 0.6, and all LGAs showed minimum CS values higher than 0.6.

Conclusion: Diffusion tensor metrics such as maximum FA and minimum CS can help to differentiate HGA from LGA.

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