Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
304-03-007 ISMRM Abstract

Assessing the Value of CBV in Identifying Early Recurrence Risk in Glioblastoma

Primary: Neuro - Tumors
Secondary: Analysis Methods - Image Synthesis and Translation
304-03-007 · Precision MRI: Advanced Quantitative Imaging and Biomarkers for Brain Tumors · Monday, 11 May, 1:50 PM–3:40 PM · Ballroom East
Keywords: Glioblastoma Recurrence Risk Cerebral blood volume Perfusion quantification
Accepted
Mahsa Servati 1,2,3,4, Ziyu Fu5, Aliya Anil6,7, Chinmay Mokashi1,3,4,6, Nazanin K Majd3,4,8, Vinaykumar K Puduvalli3,4,8, C. Chad Quarles1,3,4,6
1Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, United States of America
2Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, United States of America
3Cancer Neuroscience Program, The University of Texas MD Anderson Cancer Center, Houston, United States of America
4Cancer Neuroimaging Research Program, The University of Texas MD Anderson Cancer Center, Houston, United States of America
5Department of Imaging Physics, MD Anderson Cancer Center, Houston, United States of America
6Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, United States of America
7The University of Texas at Austin, Austin, United States of America
8Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States of America
Presenting Author: Mahsa Servati

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References

1. 1. Carrete LR, Young JS, Cha S. Advanced imaging techniques for newly diagnosed and recurrent gliomas. Front Neurosci. 2022;16:787755. doi:10.3389/fnins.2022.787755 [doi]
2. 2. Schmainda KM, Prah M, Connelly J, et al. Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma. Neuro Oncol. 2014;16:880-888. doi:10.1093/neuonc/not216 [doi]
3. 3. Hu LS, Eschbacher JM, Heiserman JE, et al. Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging measurements. AJNR Am J Neuroradiol. 2009;30(3):552-558. doi:10.3174/ajnr.A1377 [doi]
4. 4. Anil A, Empey K, Traylor J, et al. Identification of a Single-Dose, Low-Flip-Angle–Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma. AJNR Am J Neuroradiol. 2024;45(10):1545-1551. doi:10.3174/ajnr.A8357 [doi]
5. 5. Stupp R, Mason WP, van den Bent MJ, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med. 2005;352(10):987-996. doi:10.1056/NEJMoa043330 [doi]
6. 6. Boxerman JL, Schmainda KM, Weisskoff RM. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol. 2006;27(5):859-867. PubMed PMID:16611779 [pmid]
7. 7. Yushkevich PA, Gao Y, Gerig G. ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016:3342-3345. doi:10.1109/EMBC.2016.7591443 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/304-03-007