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Distinguishing benign from malignant pelvic mass utilizing an algorithm with HE4, menopausal status, and ultrasound findings

Wilailak S 1 , Chan KK 2 , Chen CA 3 , Nam JH 4 , Ochiai K 5 , Aw TC 6 Show all authors , Sabaratnam S 7 , Hebbar S 8 , Sickan J 8 , Schodin BA 8 , Charakorn C 9 , Sumpaico WW 10

Affiliations 

  • 1 Department of Obstetrics and Gynecology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand. sarikapan.wil@mahidol.ac.th
  • 2 Department of Obstetrics and Gynecology, University of Hong Kong, Hong Kong
  • 3 Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
  • 4 Department of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  • 5 Department of Obstetrics and Gynecology, The Jikei University, Tokyo, Japan
  • 6 Department of Laboratory Medicine, Changi General Hospital, Singapore
  • 7 Department of Pathology, Hospital Sultanah Aminah, Johor Bahru, Johor, Malaysia
  • 8 Abbott Diagnostics, Abbott Park, IL, USA
  • 9 Department of Obstetrics and Gynecology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
  • 10 Department of Obstetrics and Gynecology, MCU-FDT Medical Foundation, Caloocan, Philippines
J Gynecol Oncol, 2015 Jan;26(1):46-53.
PMID: 25310857 DOI: 10.3802/jgo.2015.26.1.46

Abstract

The purpose of this study was to develop a risk prediction score for distinguishing benign ovarian mass from malignant tumors using CA-125, human epididymis protein 4 (HE4), ultrasound findings, and menopausal status. The risk prediction score was compared to the risk of malignancy index and risk of ovarian malignancy algorithm (ROMA).

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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