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Pre-operative imaging with CA125 is a poor predictor for granulosa cell tumors

  • Jessica E. Stine
  • , Anuj Suri
  • , Paola A. Gehrig
  • , Michael Chiu
  • , Britt K. Erickson
  • , Warner K. Huh
  • , John T. Soper
  • , Linda Van Le
  • , Michael G. Conner
  • , Kenneth H. Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Objective. To determine the radiographic characteristics of ovarian granulosa cell tumors (GCTs) and to evaluate the use of CA125 levels >35 in combination with imaging as an algorithm for preoperative diagnosis. Methods. A retrospective analysis of women from two academic medical centers who were diagnosed with ovarian GCT between January 1998 and August 2012 was conducted. Clinical data included tumor appearance on pre-operative imaging and CA125 levels. Ovarian cysts were defined as complex if imaging exhibited multicystic areas, hemorrhagic, solid, or cystic and solid components. A CA125 level >35 was abnormal. Results. One hundred and fifteen women were diagnosed with GCTs, of whom 63 underwent pre-operative imaging. Median age at surgery was 46 years (12-87). Forty women had preoperative ultrasounds, 43 had CT scans and 20 underwent both modalities. GCTs were almost exclusively classified as complex cysts in 62 (98%) cases. Themost commonmorphologywas solid and cystic (n = 44 (70%)). Forty-four (70%) patients had tumors >10 cm. Forty-two patients had a pre-operative CA125 performed. Eighteen (43%) patients had complex masses and CA125 >35. Twenty-three (55%) had CA125 <35 with a complex mass, and one (2%) had a unilocular cyst with a CA125 >35. Conclusions. In this study, there was a near equal distribution of patients with complex masses and CA125 levels > or <35. If established strategies to predict malignancy are applied to GCTs, we will frequently fail to make the diagnosis pre-operatively. Additional research is necessary to generate an appropriate algorithm to guide pre-operative referral to a gynecologic oncologist.

Original languageEnglish (US)
Pages (from-to)59-62
Number of pages4
JournalGynecologic oncology
Volume131
Issue number1
DOIs
StatePublished - Oct 2013

Bibliographical note

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Granulosa cell tumor
  • Imaging
  • Ultrasound

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