New Advances in the Diagnosis of Gynecological Cancer
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".
Deadline for manuscript submissions: 16 May 2025 | Viewed by 55
Special Issue Editors
Interests: pre-invasive and invasive cervical lesions; pre-invasive and invasive endometrial pathology; gynecologic oncology; endoscopy
Special Issues, Collections and Topics in MDPI journals
Interests: pathology of the lower genital tract disease; HPV related disaese; HPV vaccination; HPV genotype distribution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past years, we have witnessed significant strides in the diagnosis of gynecological cancer. These advancements, driven by technological innovations, imaging, molecular biology, and personalized medicine, are novel and crucial. For instance, liquid biopsy, a non-invasive method that involves analyzing circulating tumor DNA and other biomarkers in blood samples, is gaining momentum in diagnosing and monitoring gynecological cancers. Similarly, molecular profiling techniques, like next-generation sequencing and gene expression profiling, are revolutionizing how we understand gynecological cancers. The development of artificial intelligence and machine learning algorithms with which to analyze medical imaging data, including MRI, CT, and ultrasound scans, for the early detection and characterization of gynecological tumors, is another significant breakthrough. These diagnostic advances promise to improve outcomes in gynecological cancer by enabling earlier detection, more accurate risk stratification, and tailored therapeutic interventions.
Prof. Dr. Andrea Ciavattini
Dr. Luca Giannella
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- endometrial cancer
- ovarian cancer
- cervical cancer
- vulvar cancer
- liquid biopsy
- molecular profiling
- artificial intelligence and machine learning
- advanced imaging modalities
