303-03-007 ISMRM Abstract

Radiopathomic Map Profiles of Cell Density Near Contrast Enhancement Predicts Overall Survival In Glioblastoma

Primary: Neuro - Tumors

Secondary: Analysis Methods - Radiomics

303-03-007 · Advanced Tumor Imaging: Bridging Research and Clinical Practice · Monday, 11 May, 4:10 PM–6:00 PM · Auditorium 1

Keywords: Radio-pathomics Gliomas

Accepted

Benjamin E Chao¹, Samuel Bobholz^1,2, Savannah R Duenweg ^1,2, Aleksandra Winiarz^1,3, Biprojit Nath^1,3,4, Allison Lowman^1,2, Daniel Kim², Mrina Mtenga², Hope M Reecher², Michael Barrett², Fitzgerald Kyereme², Adam Lahrache², Elaine Tanhehco², Jennifer Connelly^1,5, Max Krucoff⁶, Edward K Mrachek⁷, Jamie A Jacobsohn⁷, Mohit Agarwal², Rupen Desai⁶, Jennifer Tuscher^1,8, Peter S LaViolette^1,2

¹Medical College of Wisconsin, Wauwatosa, United States of America

²Radiology, Medical College of Wisconsin, Wauwatosa, United States of America

³Biophysics, Medical College of Wisconsin, Wauwatosa, United States of America

⁴Biophysics, Medical College of Wisconsin, Milwaukee, United States of America

⁵Neurology, Medical College of Wisconsin, Wauwatosa, United States of America

⁶Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, United States of America

⁷Pathology, Medical College of Wisconsin, Wauwatosa, United States of America

⁸Pharmacology and Toxicology, Medical College of Wisconsin, Wauwatosa, United States of America

Presenting Author: Savannah R Duenweg

Synopsis

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References

1. Price M, Ballard C, Benedetti J, et al. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2017–2021. Neuro Oncol. 2024;26(Supplement_6):vi1-vi85. doi:10.1093/neuonc/noae145 [doi]

2. Lasocki A, Gaillard F. Non-Contrast-Enhancing Tumor: A New Frontier in Glioblastoma Research. AJNR Am J Neuroradiol. 2019;40(5):758-765. doi:10.3174/ajnr.A6025 [doi]

3. Bobholz SA, Lowman AK, Brehler M, et al. Radio-Pathomic Maps of Cell Density Identify Brain Tumor Invasion beyond Traditional MRI-Defined Margins. AJNR Am J Neuroradiol. 2022;43(5):682-688. doi:10.3174/ajnr.A7477 [doi]

4. Autry A, Phillips JJ, Maleschlijski S, et al. Characterization of Metabolic, Diffusion, and Perfusion Properties in GBM: Contrast-Enhancing versus Non-Enhancing Tumor. Transl Oncol. 2017;10(6):895-903. doi:10.1016/j.tranon.2017.08.009 [doi]

5. Kubben PL, Wesseling P, Lammens M, et al. Correlation between contrast enhancement on intraoperative magnetic resonance imaging and histopathology in glioblastoma. Surg Neurol Int. 2012;3:158. doi:10.4103/2152-7806.105097 [doi]

6. Bobholz SA, Lowman AK, Connelly JM, et al. Noninvasive Autopsy-Validated Tumor Probability Maps Identify Glioma Invasion Beyond Contrast Enhancement. Neurosurgery. 2024;95(3):537-547. doi:10.1227/neu.0000000000002898 [doi]

7. Bakas S, Sako C, Akbari H, et al. The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics. Sci Data. 2022;9(1):453. doi:10.1038/s41597-022-01560-7 [doi]

8. Isensee F, Schell M, Pflueger I, et al. Automated brain extraction of multisequence MRI using artificial neural networks. Human Brain Mapping. 2019;40(17):4952-4964. doi:10.1002/hbm.24750 [doi]

9. Calabrese E, Villanueva-Meyer J, Rudie J, et al. The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM). Published online April 7, 2023. doi:10.7937/TCIA.BDGF-8V37 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/303-03-007