MRI in prostate cancer radiology: what is currently known?

Pavel Gelezhe, Andreevich I. Blokhin, Serafim Semenov, Damiano Карузо
2021 Digital Diagnostics  
Approaches to the diagnosis and treatment of prostate cancer rely on a combination of magnetic resonance imaging (MRI) and histological data. The purpose of this review is to introduce the reader to the basics of the current diagnostic approach to prostate cancer with a focus on texture analysis (TA). Texture analysis allows the evaluation of relationships between image pixels using mathematical methods, which provides additional information. First-order texture analysis of features can have
more » ... ater clinical reproducibility than higher-order texture features. Textural features extracted from diffusion coefficient maps have shown the greatest clinical relevance. Future research should focus on integrating machine learning methods to facilitate the use of texture analysis in clinical practice. Development of automated segmentation methods is required to reduce the likelihood of including normal tissue in the area of interest. Texture analysis allows noninvasive separation of patients into groups in terms of possible treatment options. Currently, there are few clinical studies on the differential diagnosis of clinically significant prostate cancer, including Gleason and ISUP grading. Large prospective studies are required to verify the diagnostic potential of textural features.
doi:10.17816/dd70170 fatcat:kosp45almfdqnadqrkq2awivay