Abstract #3226

Brain MRI phenotypes of glioblastomas are suggestive of overall patient survival

Bárbara Schmitz-Abecassis^1,2, Linda Dirven^3,4, Janey Jiang ⁵, Jasmin A. Keller¹, Robert J.J. Croese^3,4, Daniëlle van Dorth¹, Ilse M. J. Kant ^6,7, Martin J.B. Taphoorn^3,4, Matthias J.P. van Osch^1,2, Johan A.F. Koekkoek^3,4, and Jeroen de Bresser¹

¹Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ²Medical Delta Cancer Diagnostics 3.0, South-Holland, Netherlands, ³Department of Neurology, Leiden University Medical Center, Leiden, Netherlands, ⁴Department of Neurology, Haaglanden Medical Center, The Hague, Netherlands, ⁵Department of Radiology, HagaZiekenhuis, The Hague, Netherlands, ⁶Clinical Artificial Intelligence Implementation and Research Lab (CAIRELab) and Department of Information Technology & Digital Innovation, Leiden University Medical Center, Leiden, Netherlands, ⁷Department of Digital Health, University Medical Center Utrecht, Utrecht, Netherlands

Synopsis

Keywords: Tumors, Tumor, PerfusionDespite multimodal anti-tumor treatment, glioblastomas typically progress, yet identifying true tumor progression on MRI-scans is challenging. We aimed to establish brain MRI phenotypes of glioblastomas by combined analysis of radiological scoring of structural and perfusion tumor characteristics 3-months post-radiotherapy. Hierarchical clustering analysis method was applied to group patients by similar tumor characteristics and it was analyzed whether these groups showed differences in tumor progression and overall survival outcome. Four distinct MRI phenotypes of glioblastoma were established and showed between-group differences in median overall survival time.

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