Meeting Banner
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 Bertilsson3,4, Mattijs Elschot1,2, and Tone Frost Bathen1,2
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here

Abstract