Quantitative magnetic resonance techniques in the evaluation of intracranial tuberculomas

Author:

Vasudev M. K.1,Jayakumar P. N.1,Srikanth S. G.1,Nagarajan K.1,Mohanty A.1

Affiliation:

1. Department of Neuroimaging and Interventional Radiology, and Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India

Abstract

Purpose: To evaluate intracranial tuberculomas using quantitative magnetic resonance (MR) techniques such as T2 relaxometry, magnetization transfer (MT), and diffusion-weighted imaging (DWI). Material and Methods: Thirty-three patients with intracranial tuberculomas (histologically confirmed in 22) were evaluated using proton density/T2-weighted, T1-weighted (with and without MT), and echo-planar diffusion-weighted imaging sequences. T2 relaxation times, MT ratios (MTR), and apparent diffusion coefficient (ADC) values were calculated from the center of the lesion, the periphery, perilesional edema, and contralateral normal white matter. The mean and standard deviation values of each variable were calculated and correlated using Pearson's test ( P = 0.05). Results: The measured mean values of T2 relaxation time, MTR, and ADC in the center of lesions were 155.5 ms, 14.1, and 1.27×10−3 mm2/s, respectively, compared to 117 ms, 23.72, and 0.74×10−3 mm2/s in normal white matter, and a T2 relaxation time of 187.45 ms in normal gray matter. Significant inverse correlations were noted between T2 relaxation values and MTR ( P<0.001) and between MTR and ADC ( P = 0.046). Significant positive correlation was seen between T2 relaxation and ADC values ( P = 0.03). Conclusion: Intracranial tuberculomas are characterized by relatively short T2 relaxation times (compared to normal gray matter), decreased MTR, and mostly no restriction of diffusion. A combination of these quantitative parameters could be of help in the noninvasive diagnosis of tuberculomas.

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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