Back to Search
Start Over
Computerized morphometry analysis of epithelial fimbriae nuclear symmetry in <scp> BRCA </scp> carriers may identify patients at risk for developing ovarian cancer
- Source :
- Microscopy Research and Technique. 85:892-899
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Serous ovarian tumors may originate in epithelial cells of the fallopian tubes. Computerized morphometry was able to find significant alterations in the fallopian tube epithelium of healthy BRCA carriers. The purpose of this study was to identify a subgroup of BRCA carriers that may be at risk of developing serous ovarian cancer by evaluation of the epithelial nuclear symmetry in the fallopian tubes. Four groups of patients were analyzed; healthy patients, ovarian cancer patients, BRCA carriers, and BRCA noncarriers. All fallopian tubes appeared normal by H&E examination. The ImageProPlus software was used to assess the nuclear symmetry of 65 fimbriae epithelium cells and an artificial neural network algorithm aided in detecting a subpopulation among fimbriae of healthy BRCA carriers at risk for ovarian cancer. Significant differences were found between healthy patients and ovarian cancer patients, and between BRCA carriers and noncarriers. The algorithm was able to accurately predict BRCA carriers with associated ovarian cancer based on fallopian tube nuclear symmetry characteristics. These results reinforce the hypothesis that fimbriae epithelial cells of BRCA carriers may undergo early-stage changes that could predict the risk of progression toward malignancy.
- Subjects :
- Heterozygote
endocrine system
animal structures
Histology
endocrine system diseases
Fimbria
Malignancy
medicine
Serous ovarian cancer
Fallopian Tube Neoplasms
Humans
skin and connective tissue diseases
Instrumentation
Fallopian Tubes
Ovarian Neoplasms
business.industry
medicine.disease
female genital diseases and pregnancy complications
Epithelium
Cystadenocarcinoma, Serous
Medical Laboratory Technology
Serous fluid
medicine.anatomical_structure
Cancer research
Female
Anatomy
Artificial neural network algorithm
Ovarian cancer
business
Fallopian tube
Subjects
Details
- ISSN :
- 10970029 and 1059910X
- Volume :
- 85
- Database :
- OpenAIRE
- Journal :
- Microscopy Research and Technique
- Accession number :
- edsair.doi.dedup.....4617e0554b08f8e1b5daa687609702bb