1. Comparison between dynamic susceptibility contrast magnetic resonance imaging and arterial spin labeling techniques in distinguishing malignant from benign brain tumors.
- Author
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Ata ES, Turgut M, Eraslan C, and Dayanır YÖ
- Subjects
- Adult, Aged, Aged, 80 and over, Blood Volume, Brain diagnostic imaging, Brain physiopathology, Brain Neoplasms physiopathology, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Retrospective Studies, Sensitivity and Specificity, Young Adult, Brain Neoplasms diagnostic imaging, Contrast Media, Image Enhancement methods, Magnetic Resonance Imaging methods, Spin Labels
- Abstract
Objectives: The purpose of this study was to preliminarily compare unenhanced arterial spin-labeled (ASL) imaging, dynamic susceptibility contrast-enhanced cerebral blood volume (DSCE-CBV) magnetic resonance imaging (MRI) for evaluation of tumor perfusion in patients with brain tumors., Materials and Methods: A total of 27 patients with brain tumors were examined in 1,5T MRI. Single phase and multiphase ASL, DSCE-CBV examinations were assessed by both qualitative and quantitative analysis for the detection of malignancy. Imaging results were correlated with a histopathology or follow-up., Results: Based on 31 studies in 27 patients with brain tumors, the visual inspection sensitivities for ASL and dynamic DSC perfusion imaging were 88% and 94%, respectively, with 100% specificity for both. On qualitative evaluation, sensitivities for ASL and DSC perfusion imaging perfusions were 88% and 94%, respectively, with 100% specificity for both. The highest sensitivity values for quantitative ASL imaging were obtained using a normalized cut-off ratio of 1.65, resulting in sensitivity of 94% for ASL imaging and cut-off ratio of 1.95 and sensitivity 94% for DSCE-CBV imaging., Conclusion: The present study revealed similar sensitivity and specificity for both multhiphase ASL and DSC MRI. Thus, we suggest that ASL perfusion can be used in daily clinical practice., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2016
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