P10.21.A MODELLING GBM RECURRENCE - THE INFLUENCE OF PERI-LESIONAL OEDEMA AND THE DISCONNECTOME

Abstract BACKGROUND Residual tumour burden after surgery in GBM patients is a prognostic imaging biomarker, often involving the area of T2 signal elevation surrounding the tumour core, histopathologically representing infiltrative oedema with tumour cells. We present the first stage of a model to im...

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Veröffentlicht in:Neuro-oncology (Charlottesville, Va.) Va.), 2024-10, Vol.26 (Supplement_5), p.v60-v60
Hauptverfasser: Tariq, M, Ruffle, J, Mohinta, S, Brothwell, M R S, Brandner, S, Nachev, P, Hyare, H
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Sprache:eng
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Zusammenfassung:Abstract BACKGROUND Residual tumour burden after surgery in GBM patients is a prognostic imaging biomarker, often involving the area of T2 signal elevation surrounding the tumour core, histopathologically representing infiltrative oedema with tumour cells. We present the first stage of a model to improve the prediction GBM recurrence by specifically investigating the perilesional oedema compartment. MATERIAL AND METHODS UK-wide sample of histologically proven IDHwt GBMs with MRIs at the time of diagnosis underwent state-of-the-art in-house tumour segmentation pipeline and radiomic feature extraction of whole-tumour, enhancing, non-enhancing and oedema components, and masked disconnectome map components. Of these, early GBM recurrence, within 6 months after completion of radiotherapy, was curated and distribution mapped across the brain. RESULTS 1464 patients were identified: male = 901, median age 63 years, average overall survival 597 days. The radiomic features: Compactness 1 and 2, Surface Area, Spherical Disproportion, Sphericity, and Maximum 2D Diameter column of the disconnectome-related perilesional oedema compartment were most predictive of survival outcome (p value
ISSN:1522-8517
1523-5866
DOI:10.1093/neuonc/noae144.197