Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T

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 T...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of magnetic resonance imaging 2019-12, Vol.50 (6), p.1817-1823
Hauptverfasser: Li, Xiaodan, Liao, Shukun, Hua, Jun, Guo, Liuji, Wang, Danni, Xiao, Xiang, Zhou, Jun, Liu, Xiaomin, Tan, Yuefa, Lu, Lijun, Xu, Yikai, Wu, Yuankui
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 1.20 in 13/14 cases, and CBVa_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.
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.26741