Endometrial precancer diagnosis by histopathology, clonal analysis, and computerized morphometry

Area of Science:

• Gynecologic Pathology
• Oncology
• Biomedical Engineering

Background:

• Endometrial precancer diagnosis faces challenges due to debated natural history and inconsistent classification.
• Phenotypic monoclonality, similar to cancer, is a key characteristic for identifying biological precancers.
• Current diagnostic methods for endometrial hyperplasias lack reproducibility, especially for non-atypical forms.

Purpose of the Study:

• To evaluate clonal analysis and morphometric methods for diagnosing endometrial precancers.
• To assess the association between pathologist diagnosis and monoclonal growth in endometrial tissues.
• To determine if computerized morphometry can accurately differentiate monoclonal from polyclonal endometrial lesions.

Main Methods:

• Clonal analysis of 93 endometrial tissues.
• Morphological evaluation using subjective diagnostic classification and computerized morphometric analysis.
• Assessment of microsatellite stability and stromal fraction (volume percentage stroma).

Main Results:

• Pathologist diagnosis of atypical endometrial hyperplasia strongly correlated with monoclonal growth.
• Computerized morphometry accurately resolved non-atypical hyperplasias into monoclonal and polyclonal subgroups.
• A stromal volume percentage below 55% reliably predicted monoclonality.

Conclusions:

• Morphometric analysis provides reproducible and precise identification of monoclonal endometrial precancers.
• This technique can accurately classify indeterminate lesions (non-atypical hyperplasias).
• Standardized diagnostic criteria and morphometric analysis offer improved tools for endometrial precancer management.