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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