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Abstract #1846

Classification of tumor components based on DCE and DSC data in patients with glioblastoma

Moran Artzi 1,2 , Deborah T. Blumenthal 3 , Felix Bokstein 3 , Guy Nadav 1,4 , Gilad Liberman 1 , Orna Aizenstein 1 , and Dafna Ben Bashat 1,5

1 Functional Brain Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2 Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 3 Neuro-Oncology Service, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 4 Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel, 5 Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel

Classification of tumor area is important for therapy assessment of patients with glioblastoma (GB). In this study tumor area was classified in sixteen scans (11 patients) using k-mean analyses of DSC and DCE data, (1) based on group analysis; (2) on individual patient basis, using cluster's centroid vectors obtained from the group analysis. Three clusters were identified: permeable-tumor, infiltrative-tumor and vasogenic-edema, validated using MRS. A high correlation was obtained between methods. Five patients were scanned longitudinally following bevacizumab. Results suggest a non-enhancing tumor progression pattern following therapy. This demonstrates the potential of this method to be used in clinical settings.

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