Abstract #1333

Analyzing Radiomic Features in Magnetic Resonance Images of Head and Neck Cancer during Radiation Therapy: Preliminary Results

Victor Fritz¹, Martin Schwartz^1,2, 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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