Advances in Diagnosis of Gynecological Cancers: 2nd Edition
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 31 March 2026
Special Issue Editors
Interests: breast pathology; gynecological oncology; molecular pathology
Special Issues, Collections and Topics in MDPI journals
Interests: breast pathology; gynecological oncology; molecular pathology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Routine clinical practice is moving towards personalized medicine by means of biological tissue prognostic/predictive biomarkers and next-generation sequencing applied to solid samples, liquid biopsy, or the use of single-cell DNA/RNA sequencing. Improvements in our understanding of the altered molecular background in different gynecological malignancies have allowed more precise pathological diagnoses, effective targeted therapies, the development of new therapeutic options in modern immunotherapy, and more accurate prognostic risk stratification. In addition to histopathology coupled with molecular diagnostics, it has been shown that the potential benefits of DP (digital pathology), AI (artificial intelligence), and ML (machine learning) technologies in gynecologic tumors can greatly increase the accuracy and efficacy of cancer diagnosis, reduce diagnostic delays, and possibly eliminate the performance of needless invasive operations. Oncological pretargeting has also been implemented and tested in several different ways in preclinical models and clinical trials for gynecological cancers, due mainly to its suitability for imaging (PET imaging). Moreover, robotic surgical techniques are now a modern reality. This Special Issue will highlight recent advances of different types in the diagnosis and treatment of gynecological cancers.
Dr. Angela Santoro
Dr. Gian Franco Zannoni
Guest Editors
Manuscript Submission Information
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Keywords
- gynecological cancers
- histopathology
- next-generation sequencing
- liquid biopsy
- theranostics
- digital pathology
- artificial intelligence and machine learning
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Related Special Issue
- Advances in Diagnosis of Gynecological Cancers in Diagnostics (6 articles)
