Computerized image analysis and flow cytometric evaluation of ovarian borderline tumors: a study of 24 cases.
DNA content evaluation in the study of ovarian borderline tumors has been shown to be a useful adjunct to histopathologic diagnosis. This study compares flow cytometry and computerized image analysis (CIA) in evaluating the DNA content of these lesions. Twenty-four cases of ovarian borderline tumors (15 serous, 9 mucinous) were studied utilizing formalin-fixed paraffin-embedded tissue. Flow cytometry of cell suspensions and CIA of cell suspensions and paraffin sections were compared in the evaluation of DNA content. Twenty-three tumors (96%) were diploid and only 1 (4%) was aneuploid. There was 100% correlation between flow cytometry and CIA of cell suspensions. Image analysis of Feulgen-stained paraffin sections was found to be unreliable when compared with the use of cell suspensions in the evaluation of DNA content. Clinical follow-up in 17 patients showed recurrent disease in two patients with diploid tumors and no evidence of disease in the patient with an aneuploid tumor. The reported rate of aneuploidy in borderline tumors varies depending on the diagnostic method employed in evaluating DNA content. This study shows good correlation between flow cytometry and image analysis of cell suspensions and supports the low rate of aneuploidy found in these lesions by other authors utilizing these methods. The majority of borderline ovarian tumors have been shown to have a diploid DNA content; however, the finding of aneuploidy in histologically classified borderline tumors warrants close clinical follow-up since aneuploidy in these tumors has been associated with an adverse prognosis.
Esposito
M J
MJ
Department of Pathology, Long Island Jewish Medical Center, New Hyde Park, New York 11040.
Fuchs
A
A
D000782:Aneuploidy; D014408:Biomarkers, Tumor / Q000032:analysis; D004273:DNA, Neoplasm / Q000032:analysis*; D005260:Female; D005434:Flow Cytometry / Q000379:methods*; D005819:Genetic Markers; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010051:Ovarian Neoplasms / Q000175:diagnosis* / Q000235:genetics
D014408:Biomarkers, Tumor; D004273:DNA, Neoplasm; D005819:Genetic Markers