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Research ArticleBrain Tumor Imaging

Differentiating Low-Grade from High-Grade Intracranial Ependymomas: Comparison of Dynamic Contrast-Enhanced MRI and Diffusion-Weighted Imaging

Julio Arevalo-Perez, Elena Yllera-Contreras, Kyung K. Peck, Vaios Hatzoglou, Onur Yildirim, Marc K. Rosenblum and Andrei I. Holodny
American Journal of Neuroradiology July 2024, 45 (7) 927-933; DOI: https://doi.org/10.3174/ajnr.A8226
Julio Arevalo-Perez
aFrom the Department of Radiology (J.A.-P., E.Y.-C., V.H., O.Y., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
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Elena Yllera-Contreras
aFrom the Department of Radiology (J.A.-P., E.Y.-C., V.H., O.Y., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
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Kyung K. Peck
bDepartment of Medical Physics (K.K.P.), Memorial Sloan Kettering Cancer Center, New York, New York
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Vaios Hatzoglou
aFrom the Department of Radiology (J.A.-P., E.Y.-C., V.H., O.Y., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
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Onur Yildirim
aFrom the Department of Radiology (J.A.-P., E.Y.-C., V.H., O.Y., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
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Marc K. Rosenblum
cDepartment of Pathology (M.K.R.), Memorial Sloan Kettering Cancer Center, New York, New York
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Andrei I. Holodny
aFrom the Department of Radiology (J.A.-P., E.Y.-C., V.H., O.Y., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
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Abstract

BACKGROUND AND PURPOSE: The aim of this study was to determine the diagnostic value of fractional plasma volume derived from dynamic contrast-enhanced perfusion MR imaging versus ADC, obtained from DWI in differentiating between grade 2 (low-grade) and grade 3 (high-grade) intracranial ependymomas.

MATERIALS AND METHODS: A hospital database was created for the period from January 2013 through June 2022, including patients with histologically-proved ependymoma diagnosis with available dynamic contrast-enhanced MR imaging. Both dynamic contrast-enhanced perfusion and DWI were performed on each patient using 1.5T and 3T scanners. Fractional plasma volume maps and ADC maps were calculated. ROIs were defined by a senior neuroradiologist manually by including the enhancing tumor on every section and conforming a VOI to obtain the maximum value of fractional plasma volume (Vpmax) and the minimum value of ADC (ADCmin). A Mann-Whitney U test at a significance level of corrected P = .01 was used to evaluate the differences. Additionally, receiver operating characteristic curve analysis was applied to assess the sensitivity and specificity of Vpmax and ADCmin values.

RESULTS: A total of 20 patients with ependymomas (10 grade 2 tumors and 10 grade 3 tumors) were included. Vpmax values for grade 3 ependymomas were significantly higher (P < .002) than those for grade 2. ADCmin values were overall lower in high-grade lesions. However, no statistically significant differences were found (P = .12114).

CONCLUSIONS: As a dynamic contrast-enhanced perfusion MR imaging metric, fractional plasma volume can be used as an indicator to differentiate grade 2 and grade 3 ependymomas. Dynamic contrast-enhanced perfusion MR imaging plays an important role with high diagnostic value in differentiating low- and high-grade ependymoma.

ABBREVIATIONS:

ADCmin
minimum ADC
AIF
arterial input function
AUC
area under the curve
DCE
dynamic contrast-enhanced
rCBV
relative CBV
ROC
receiver operating characteristic
VEGF
vascular endothelial growth factor
Vpmax
maximum plasma volume
Vp
fractional plasma volume
WHO
World Health Organization
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American Journal of Neuroradiology: 45 (7)
American Journal of Neuroradiology
Vol. 45, Issue 7
1 Jul 2024
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Cite this article
Julio Arevalo-Perez, Elena Yllera-Contreras, Kyung K. Peck, Vaios Hatzoglou, Onur Yildirim, Marc K. Rosenblum, Andrei I. Holodny
Differentiating Low-Grade from High-Grade Intracranial Ependymomas: Comparison of Dynamic Contrast-Enhanced MRI and Diffusion-Weighted Imaging
American Journal of Neuroradiology Jul 2024, 45 (7) 927-933; DOI: 10.3174/ajnr.A8226

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Low-Grade vs. High-Grade Ependymomas on MRI
Julio Arevalo-Perez, Elena Yllera-Contreras, Kyung K. Peck, Vaios Hatzoglou, Onur Yildirim, Marc K. Rosenblum, Andrei I. Holodny
American Journal of Neuroradiology Jul 2024, 45 (7) 927-933; DOI: 10.3174/ajnr.A8226
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