Abstract #1333
Analyzing Radiomic Features in Magnetic Resonance Images of Head and Neck Cancer during Radiation Therapy: Preliminary Results
Victor Fritz1, Martin Schwartz1,2, Jens Kübler3, Simon Böke4, Jonas Habrich5, Daniel Zips4, Daniela Thorwarth5, Konstantin Nikolaou3, and Fritz Schick1
1Department of Diagnostic and Interventional Radiology, University of Tuebingen, Section on Experimental Radiology, Tuebingen, Germany, 2University of Stuttgart, Institute of Signal Processing and System Theory, Stuttgart, Germany, 3Department of Diagnostic and Interventional Radiology, University of Tuebingen, University Hospital Tuebingen, Tuebingen, Germany, 4Department of Radiation Oncology, University of Tuebingen, University Hospital and Medical Faculty, Tuebingen, Germany, 5Department of Radiation Oncology, University of Tuebingen, Section for Biomedical Physics, Tuebingen, Germany
Synopsis
The aim of this work was to identify potential texture features as imaging biomarkers for monitoring treatment response in head and neck cancer (HNC). For this purpose, a total number of 93 texture features were extracted on segmented calculated ADC maps and compared at baseline and in the early treatment phase of radiation therapy (RT). Fifteen texture features showed a statistically difference in the course of RT. In particular, features suggesting that ADC-based HNC texture became finer but more heterogeneous changed significantly. Presented preliminary results offer initial findings that will be systematically investigated in upcoming studies.
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