Abstract #4116

Repeatability of Radiomic Features in T2-Weighted Prostate MRI: Impact of Pre-processing Configurations

Dyah Ekashanti Octorina Dewi¹, Mohammed R. S. Sunoqrot¹, Gabriel Addio Nketiah¹, Elise Sandsmark², Sverre Langørgen², Helena Bertilsson^3,4, Mattijs Elschot^1,2, and Tone Frost Bathen^1,2

¹Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, ²Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, ³Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway, ⁴Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

Identifying repeatability of radiomic features in T2-Weighted prostate MRI is important to develop consistent imaging biomarkers and evaluate prostate cancer. This study aims to investigate the impact of pre-processing configurations on radiomic features repeatability in two short-term measurements. Repeatability was analyzed through pre-processing combinations of quantization, bin number, normalization, and filtering, and PyRadiomics feature extraction tool. The results show that repeatability of texture features varies depending on anatomical zones and lesions, pre-processing, and feature itself. Four texture features provide good repeatability independently of pre-processing configuration. Moreover, different feature groups have the highest repeatability in whole prostate, prostate zones and lesions.

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