CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2015; 25(02): 162-166
DOI: 10.4103/0971-3026.155866
Neuroradiology

Role of dynamic CT perfusion study in evaluating various intracranial space-occupying lesions

Ravindra B Kamble
Department of Radiology, Vikram Hospital, Bangalore, Karnataka, India
,
Peruvumba N Jayakumar
Department of Radiology, Khoula Hospital, Muscat, United States
,
Ravishankar Shivashankar
Department of Radiology, University of Maryland Medical Center, Baltimore, Maryland, United States
› Author Affiliations

Abstract

Aims: Differentiating intracranial mass lesions on CT scan is challenging. The purpose of our study was to determine the perfusion parameters in various intracranial space-occupying lesions (ICSOL), differentiate benign and malignant lesions, and differentiate between grades of gliomas. Materials and Methods: We performed CT perfusion (CTP) in 64 patients, with age ranging from 17 to 68 years, having space-occupying lesions in brain and calculated relative cerebral blood flow (rCBF) and relative cerebral blood volume (rCBV). Results: We found significantly lower perfusion in low-grade gliomas as compared to high-grade tumors, lymphoma, and metastases. Similarly in infective lesions, TWT and abscesses showed significantly lower perfusion compared to TOT. In ring enhancing lesions, capsule of TWT showed significantly lower perfusion as compared to abscesses, TOT, and metastases. Conclusion: Thus, in conclusion, infective lesions can be differentiated from tumors like lymphomas, high-grade gliomas, or metastases based on perfusion parameters. The cut off value of rCBV 1.64 can be used to differentiate between low grade and high grade gliomas. However, depending only on perfusion parameters, differentiation between the tumors like lymphomas, high-grade gliomas, and metastases may not be possible.



Publication History

Publication Date:
30 July 2021 (online)

© 2015. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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