Literature DB >> 18486086

Factors influencing the use and accuracy of frozen section diagnosis of epithelial ovarian tumors.

Jean-Luc Brun1, Annie Cortez, Roman Rouzier, Patrice Callard, Marc Bazot, Serge Uzan, Emile Daraï.   

Abstract

OBJECTIVE: The objective of the study was to study factors influencing the use and accuracy of frozen section diagnosis (FSD) of ovarian tumors. STUDY
DESIGN: Surgery was performed in 414 patients with epithelial ovarian tumors between 2001 and 2006. Factors were identified by univariate and multivariate analysis.
RESULTS: FSD was requested in 274 patients: 152 benign, 55 borderline, and 67 malignant tumors. Age 50 years or older, tumor size 10 cm or greater, and preoperative evidence of malignancy were associated with FSD request. The sensitivity and specificity of FSD for benign, borderline, and malignant tumors were 97% and 81%, 62% and 96%, and 88% and 99%, respectively. The histologic type (mucinous), tumor size (less than 10 cm), the borderline component (less than 10%), and the pathologist's experience predicted misdiagnosis of borderline tumors. Spread outside the ovary was the only significant predictor of accurate FSD of malignant tumors.
CONCLUSION: FSD is less accurate for borderline than benign and malignant ovarian tumors. The pathologist's experience is a major determinant of diagnostic accuracy.

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Mesh:

Year:  2008        PMID: 18486086     DOI: 10.1016/j.ajog.2008.04.002

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  14 in total

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7.  Clinical analysis of intra-operative frozen section proven borderline tumors of the ovary.

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8.  Borderline ovarian tumors and diagnostic dilemma of intraoperative diagnosis: could preoperative He4 assay and ROMA score assessment increase the frozen section accuracy? A multicenter case-control study.

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Review 9.  Intraoperative frozen section analysis for the diagnosis of early stage ovarian cancer in suspicious pelvic masses.

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10.  Rapid diagnosis and intraoperative margin assessment of human lung cancer with fluorescence lifetime imaging microscopy.

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