Background
Most vulvar squamous cell carcinomas (VSCC) are HPV-independent and develop from lichen sclerosus (LS) or differentiated vulvar intraepithelial neoplasia (dVIN). While only a subset of these lesions progress to cancer, current histopathology cannot reliably identify which patients are at highest risk, potentially leading to overtreatment.
Aim
Can AI applied to histopathology slides predict progression from LS/dVIN to VSCC?
Funding
- KWF
