Introduction: Textual analysis is a new stage in the development and improvement of radiology. Textual analysis (TA) or radiomics is a method of in-depth study of medical images using specialized computer programs. It`s based on the quantification of invisible features and provides tools for researchers to gain deep insights into tumor morphology.A number of mathematically extracted texture features (TF) can be correlate with morphological, molecular and genotypic characteristics of the studied field of interest. Aim: Analysis of the literature and comparative evaluation of publications to perform challenges and possibilities of texture analysis in bladder cancer. Materials and methods: We searched for scientific publications in the PubMed and Google Scholar information and analytical systems for 2016-2024 by keywords: «bladder cancer», «bladder cancer radiomics», «mri bladder cancer»». As a result, 40 articles were selected for analysis. Results: Our review demonstrates the methodology, challenges, opportunities and prospects of TA CT and MP imagesin bladder cancer.Numerous studies have demonstrated high accuracy of radiomics in local staging and estimation of tumor morphology, as well as in prediction of clinical outcomes. Conclusion: TA in controversial clinical cases is a useful way of increasing theinformationobtainable frommedical images. Further validation of these methodis required however.
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