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Abstract #2558

Radiomics analysis of non-enhancing lesions after Bevacizumab administration in recurrent glioblastoma

Takahiro Sanada1,2, Manabu Kinoshita1,3, Takeshi Shimizu1, Yoshiko Okita3,4,5, Hideyuki Arita3,4, Hirotaka Sato1, Masato Saito1, Nobuyuki Mitsui1, Satoru Hiroshima1, Mishie Tanino6, Yonehiro Kanemura7,8, and Haruhiko Kishima4
1Neurosurgery, Asahikwa Medical University, Asahikawa, Japan, 2Neurosurgery, Japanese Red Cross Kitami Hospital, Kitami, Japan, 3Neurosurgery, Osaka International Cancer Institute, Osaka, Japan, 4Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan, 5Neurosurgery, Faculty of Medicine, Miyazaki University, Miyazaki, Japan, 6Diagnostic Pathology, Asahikawa Medical University Hospital, Asahikawa, Japan, 7Neurosurgery, NHO Osaka National Hospital, Osaka, Japan, 8Biomedical Research and Innovation, Institute for Clinical Research, NHO Osaka National Hospital, Osaka, Japan

Synopsis

Keywords: Tumors (Post-Treatment), Radiomics

Motivation: Identifying non-contrast-enhancing tumor (nCET) in glioblastoma (GBM) is crucial for surgical treatment. However, T2/FLAIR images are unable to reliably distinguish nCET from vasogenic edema (VE).

Goal(s): To develop an MRI-based method to identify nCET via radiomic features on areas where CET transformed to nCET after BEV administration.

Approach: Radiomic features were analyzed in an exploratory cohort under BEV treatment (n=24) and a validation cohort who underwent 11C-methionine positron emission tomography (n=23).

Results: A combination of three imaging features distinguished nCET from VE (AUC=0.91) with high positive predictive accuracy. Reconstructed MRI images also provided reasonable nCET visualization in newly diagnosed GBMs.

Impact: Radiomic features of lesion where CET transformed into nCET after BEV administration may provide valuable information in predicting nCET in GBM.

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Keywords