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The purpose of this study was to identify a subgroup of <jats:italic>BRCA<\/jats:italic> 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, <jats:italic>BRCA<\/jats:italic> carriers, and <jats:italic>BRCA<\/jats:italic> noncarriers. All fallopian tubes appeared normal by H&amp;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 <jats:italic>BRCA<\/jats:italic> carriers at risk for ovarian cancer. Significant differences were found between healthy patients and ovarian cancer patients, and between <jats:italic>BRCA<\/jats:italic> carriers and noncarriers. The algorithm was able to accurately predict <jats:italic>BRCA<\/jats:italic> carriers with associated ovarian cancer based on fallopian tube nuclear symmetry characteristics. These results reinforce the hypothesis that fimbriae epithelial cells of <jats:italic>BRCA<\/jats:italic> carriers may undergo early\u2010stage changes that could predict the risk of progression toward malignancy.<\/jats:p>","DOI":"10.1002\/jemt.23958","type":"journal-article","created":{"date-parts":[[2021,10,9]],"date-time":"2021-10-09T09:13:39Z","timestamp":1633770819000},"page":"892-899","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Computerized morphometry analysis of epithelial fimbriae nuclear symmetry in <scp><i>BRCA<\/i><\/scp> carriers may identify patients at risk for developing ovarian cancer"],"prefix":"10.1002","volume":"85","author":[{"given":"Amnon","family":"Amit","sequence":"first","affiliation":[{"name":"Department of Gynecology\u2013Oncology Rambam Health Care Campus  Haifa Israel"},{"name":"Faculty of Medicine Technion \u2013 Israel Institute of Technology  Haifa 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