Guest Editor(s)
Prof. Albino Eccher
Email: albino.eccher@unimore.it
Affiliation: Pathology Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Azienda Ospedaliero-Universitaria, Policlinico, Modena, Italy
Homepage:
Research Interests: pathology, immunohistochemistry, kidney transplantation, transplantation pathology, cytopathology
Prof. Viscardo Paolo Fabbri
Email: viscardopaolo.fabbri@gmail.com
Affiliation: Department of Laboratory Medicine and Surgical Anatomy, Pathology Unit, AOU Policlinico Modena, Italy
Homepage:
Research Interests: oncologic diseases, molecaular biology, pathologic anatomy
Prof. Stefano Marletta
Email: stefano.marletta92@gmail.com
Affiliation: Division of Pathology, Humanitas Istituto Clinico Catanese, and Department of Biomedical Science, Humanitas University, Milan, Italy
Homepage:
Research Interests: kidney cancer,breast cancer,digital pathology
Summary
Uropathology has undergone a significant evolution over the past decade. While histomorphology remains the cornerstone of diagnosis, advances in immunohistochemistry, molecular pathology, and digital pathology have profoundly transformed diagnostic algorithms and clinical decision-making. New WHO classifications, the identification of actionable molecular alterations, and the rapid development of AI-based tools have expanded the diagnostic and prognostic capabilities of the pathologist.
However, challenges remain in integrating these technologies into routine practice, defining their true clinical impact, and maintaining a balanced, evidence-based approach. This Special Issue aims to address these challenges by bridging traditional pathology with advanced diagnostic technologies, clarifying the clinical relevance of novel biomarkers and molecular findings, providing practical guidance on the appropriate use of AI in uropathology, and promoting an integrated diagnostic model that supports precision medicine in urology.
The aim and scope of the Special Issue shall be highlighted. to provide a comprehensive and up-to-date overview of modern uropathology, highlighting the progressive integration of traditional morphologic pathology with immunohistochemistry, molecular diagnostics, and artificial intelligence (AI).
The primary objectives are to:
-Emphasize the continuing central role of morphologic evaluation in urologic pathology.
-Illustrate how immunohistochemical and molecular tools refine diagnosis, prognostication, and therapeutic stratification.
-Explore current and emerging applications of artificial intelligence in uropathology, including diagnostic accuracy, grading, risk stratification, and workflow optimization.
-Provide clinically relevant insights for urologists, pathologists, and oncologists involved in the multidisciplinary management of urologic diseases.
Suggested themes
General and Methodological Topics
-From Morphology to Integrated Diagnostics in Uropathology
-Immunohistochemistry in Uropathology: Diagnostic Utility, Pitfalls, and Best Practices
-Molecular Pathology in Urologic Tumors: Indications, Techniques, and Clinical Impact
-Artificial Intelligence in Uropathology: Current Applications and Future Directions
Kidney
-Renal Cell Tumors: Morphologic Classification and Molecular Correlates
-Emerging and Rare Renal Tumor Entities: Diagnostic Challenges
-Predictive and Prognostic Biomarkers in Renal Neoplasms
-Artificial Intelligence in Renal Tumor Diagnosis, Grading, and Outcome Prediction
Urinary Bladder and Ureters
-Urothelial Carcinoma: Morphologic Variants and Their Clinical Significance
-Immunohistochemical and Molecular Subtyping of Bladder Cancer
-Upper Tract Urothelial Carcinoma: Pathologic Features and Molecular Insights
-Applications of Artificial Intelligence in Bladder Cancer Pathology
Prostate
-Contemporary Morphologic Assessment of Prostate Cancer and ISUP Grading
-Immunohistochemistry in Prostate Pathology: Diagnostic and Prognostic Markers
-Molecular Alterations in Prostate Cancer and Therapeutic Implications
-Artificial Intelligence in Prostate Biopsy and Radical Prostatectomy Evaluation
Male Urethra
-Pathology of Male Urethral Tumors: Morphologic, Immunohistochemical, and Molecular Features
-Rare and Challenging Lesions of the Male Urethra
Keywords
uropathology; molecular pathology; immunohistochemistry; digital pathology; artificial intelligence; urologic tumors; precision medicine
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