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ID 116461
Title Alternative
ASL for Grading Nonenhancing Astrocytoma
Author
Khashbat, Delgerdalai Tokushima University
Ganbold, Mungunbagana Tokushima University
Uyama, Naoto Tokushima University
Irahara, Saho Tokushima University
Keywords
arterial spin labeling
astrocytoma grading
nonenhancing
perfusion
Content Type
Journal Article
Description
Purpose: We evaluated the utility of arterial spin labeling (ASL) imaging of tumor blood flow (TBF) for grading non-enhancing astrocytic tumors.
Materials and Methods: Thirteen non-enhancing astrocytomas were divided into high-grade (n = 7) and low-grade (n = 6) groups. Both ASL and conventional sequences were acquired using the same magnetic resonance machine. Intratumoral absolute maximum TBF (TBFmax), absolute mean TBF (TBFmean), and corresponding values normalized to cerebral blood flow (TBFmax and TBFmean ratios) were measured. The Mann-Whitney U test and receiver operating characteristic (ROC) curve analysis were used to assess the accuracy of TBF variables for tumor grading.
Results: Compared with low-grade astrocytoma, high-grade astrocytoma exhibited significantly greater absolute TBFmax (90.93 ± 24.96 vs 46.94 ± 20.97 ml/100 g/min, P < 0.001), TBFmean (58.75 ± 19.89 vs 31.16 ± 17.63 ml/100 g/min, P < 0.001), TBFmax ratio (3.34 ± 1.22 vs 1.35 ± 0.5, P < 0.001), and TBFmean ratio (2.15 ± 0.94 vs 0.88 ± 0.41, P < 0.001). The TBFmax ratio yielded the highest diagnostic accuracy (sensitivity 100%, specificity 86.3%), while absolute TBFmean yielded the lowest accuracy (sensitivity 85.7%, specificity 70.1%) by ROC analysis.
Conclusion: Parameters from ASL perfusion imaging, particularly TBFmax ratio, may be useful for distinguishing high-grade from low-grade astrocytoma in cases with equivocal conventional MRI findings.
Journal Title
Magnetic Resonance in Medical Sciences
ISSN
18802206
13473182
NCID
AA11648770
Publisher
Japanese Society for Magnetic Resonance in Medicine
Volume
17
Issue
4
Start Page
277
End Page
282
Published Date
2017-12-12
Rights
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International License(https://creativecommons.org/licenses/by-nc-nd/4.0/).
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language
eng
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departments
Medical Sciences
University Hospital