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Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T
Author(s) -
Li Xiaodan,
Liao Shukun,
Hua Jun,
Guo Liuji,
Wang Danni,
Xiao Xiang,
Zhou Jun,
Liu Xiaomin,
Tan Yuefa,
Lu Lijun,
Xu Yikai,
Wu Yuankui
Publication year - 2019
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.26741
Subject(s) - medicine , mann–whitney u test , nuclear medicine , glioma , magnetic resonance imaging , radiology , cancer research
Background Inflow‐based vascular‐space‐occupancy (iVASO) MRI is a noninvasive perfusion technique that does not require administration of exogenous contrast agents. Arteriolar cerebral blood volume (CBVa) obtained from iVASO MRI is hypothesized to be an indicator of tumor microvasculature. Purpose To assess the diagnostic performance of iVASO MRI implemented at 3T in predicting histologic grades of cerebral gliomas. Study Type Retrospective. Subjects Forty‐five patients (31 males) consisting of 14 WHO grade IV glioblastoma multiformes, 14 grade III, and 17 grade II gliomas. Field Strength/Sequence At 3T we acquired CBVa data using an iVASO sequence. Assessment The maximum and mean CBVa (CBVa_max and CBVa_mean) values were calculated in the tumor and normalized to the contralateral thalamus (nCBVa_max and nCBVa_mean). Statistical Tests Kruskal–Wallis test, Mann–Whitney test, and receiver operating characteristics (ROC) curve were used for statistical analysis. Results Both CBVa_max and nCBVa_max increased with tumor grade ( P < 0.001). Grade II gliomas showed CBVa_max <0.78 ml / 100 ml in 10/17 cases and nCBVa_max <1.20 in 11/17 cases. Grade III gliomas showed both CBVa_max >0.78 ml / 100 ml and nCBVa_max >1.20 in 13/14 cases, and CBVa_max <2.06 ml / 100 ml in 13/14 cases and nCBVa_max <2.33 in 11/14 cases. Grade IV gliomas showed CBVa_max >2.06 ml / 100 ml in 9/14 cases and nCBVa_max >2.33 in 13/14 cases. The areas under the ROC curve, sensitivity, and specificity were 0.839 ( P < 0.001), 92.9% (26/28), and 64.7% (11/17) for CBVa_max, and 0.883 ( P < 0.001), 92.9% (26/28), and 70.6% (12/17) for nCBVa_max in the discrimination between grade II and high‐grade (grade III and grade IV) tumors, respectively. Data Conclusion iVASO MRI might be used to help determine and predict glioma grade.Level of Evidence : 4 Technical Efficacy : Stage 2 J. Magn. Reson. Imaging 2019;50:1817–1823.