TY - JOUR
T1 - Association of Glioma Grading With Inflow-Based Vascular-Space-Occupancy MRI
T2 - A Preliminary Study at 3T
AU - Li, Xiaodan
AU - Liao, Shukun
AU - Hua, Jun
AU - Guo, Liuji
AU - Wang, Danni
AU - Xiao, Xiang
AU - Zhou, Jun
AU - Liu, Xiaomin
AU - Tan, Yuefa
AU - Lu, Lijun
AU - Xu, Yikai
AU - Wu, Yuankui
N1 - Funding Information:
Contract grant sponsor: Natural Science Foundation of Guangdong Province, China; Contract grant number: S201301005689; Contract grant sponsor: Science and Technology Program of Guangzhou, China; Contract grant number: 201707010003; Contract grant sponsor: Special Foundation of President of Nanfang Hospital, Southern Medical University; Contract grant number: 2016B026. These funding sources had no involvement in writing the article nor in the decision to submit this work for publication. We thank Queenie Chan for insightful discussions and help during the preparation of the article.
Funding Information:
Contract grant sponsor: Natural Science Foundation of Guangdong Province, China; Contract grant number: S201301005689; Contract grant sponsor: Science and Technology Program of Guangzhou, China; Contract grant number: 201707010003; Contract grant sponsor: Special Foundation of President of Nan-fang Hospital, Southern Medical University; Contract grant number: 2016B026. These funding sources had no involvement in writing the article nor in the decision to submit this work for publication.
Publisher Copyright:
© 2019 International Society for Magnetic Resonance in Medicine
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - brain tumor
KW - cerebral blood volume
KW - histologic grade
KW - inflow-based vascular-space-occupancy
KW - MR imaging
KW - perfusion-weighted imaging
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U2 - 10.1002/jmri.26741
DO - 10.1002/jmri.26741
M3 - Article
C2 - 30932289
AN - SCOPUS:85063659207
SN - 1053-1807
VL - 50
SP - 1817
EP - 1823
JO - Journal of Magnetic Resonance Imaging
JF - Journal of Magnetic Resonance Imaging
IS - 6
ER -