Your browser doesn't support javascript.
loading
Association of Glioma Grading With Inflow-Based Vascular-Space-Occupancy MRI: A Preliminary Study at 3T.
Li, Xiaodan; Liao, Shukun; Hua, Jun; Guo, Liuji; Wang, Danni; Xiao, Xiang; Zhou, Jun; Liu, Xiaomin; Tan, Yuefa; Lu, Lijun; Xu, Yikai; Wu, Yuankui.
Afiliación
  • Li X; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Liao S; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Hua J; Division of CT & MR, Radiology Department, First Affiliated Hospital of Gannan Medical University, Ganzhou, P.R. China.
  • Guo L; Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Wang D; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Xiao X; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Zhou J; School of Biomedical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai, P.R. China.
  • Liu X; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Tan Y; Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Lu L; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Xu Y; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
  • Wu Y; School of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing, Southern Medical University, Baiyun District, Guangzhou, P.R. China.
J Magn Reson Imaging ; 50(6): 1817-1823, 2019 12.
Article en En | MEDLINE | ID: mdl-30932289
ABSTRACT

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;501817-1823.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Glioma Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Glioma Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article