Medical Imaging in the Detection of Urological Malignancies
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Urology & Nephrology".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 1262
Special Issue Editors
Interests: morphology and embryology; oncology; artificial intelligence; machine learning algorithms; textural analysis; mpMRI
Special Issues, Collections and Topics in MDPI journals
Interests: morphology and embryology; oncology; artificial intelligence; machine learning algorithms; textural analysis; mpMRI
Special Issues, Collections and Topics in MDPI journals
2. Department of Pathology, Country Emergency Clinical Hospital, 400347 Cluj-Napoca, Romania
Interests: pathology; uro-oncology; artificial intelligence; machine learning algorithms; textural analysis
Special Issue Information
Dear Colleagues,
The past decade has been marked by the exponential advancement of medical imaging, with onco-radiology being at the very edge. In this context, urological malignancies have improved their detection rates, by merging conventional imagistic techniques with the expanding domain of radiomics and artificial intelligence.
At the forefront of novelty in this emerging domain is prostate cancer, which has gained diagnostic accuracy and precision, as new decision support tools based on texture analysis and machine learning algorithms have provided non-invasive methods of differentiating between benign and neoplastic tissue, as well as predicting tumoral grade and aggressiveness, with an accuracy of 90% compared to the final pathological report.
This Special Issue of Medicina will specifically focus on multiparametric MRI studies targeting prostate, vesical, renal and testicular malignancies that integrate in their protocol radiomics and artificial intelligence elements. Research papers targeting other imagistic techniques, as well as novel, intraoperative techniques, are also welcomed.
The aim of the proposed Special Issue is to compile state-of-the-art original research papers and reviews that highlight the progress registered by uro-radiology in terms of screening, diagnosing and staging urological malignancies.
Dr. Carmen Bianca Crivii
Dr. Cosmin Caraiani
Guest Editors
Dr. Teodora Telecan
Guest Editor Assitant
Manuscript Submission Information
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Keywords
- urological malignancies
- MRI
- radiomics
- artificial intelligence
- abdominal imaging
- pelvic imaging
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