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

TitleDistinguishing benign from malignant pelvic mass utilizing an algorithm with HE4, menopausal status, and ultrasound findings
Authors
KeywordsAlgorithms
CA-125 Antigen
Ovarian Neoplasms
Prospective Studies
Regression Analysis
Issue Date2015
PublisherAsian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology. The Journal's web site is located at http://www.gyneoncology.or.kr/
Citation
Journal of Gynecologic Oncology, 2015, v. 26 n. 1, p. 46-53 How to Cite?
AbstractObjective: 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). Methods: This was a prospective, multicenter (n=6) study with patients from six Asian countries. Patients had a pelvic mass upon imaging and were scheduled to undergo surgery. Serum CA-125 and HE4 were measured on preoperative samples, and ultrasound findings were recorded. Regression analysis was performed and a risk prediction model was developed based on the significant factors. A bootstrap technique was applied to assess the validity of the HE4 model. Results: A total of 414 women with a pelvic mass were enrolled in the study, of which 328 had documented ultrasound findings. The risk prediction model that contained HE4, menopausal status, and ultrasound findings exhibited the best performance compared to models with CA-125 alone, or a combination of CA-125 and HE4. This model classified 77.2% of women with ovarian cancer as medium or high risk, and 86% of women with benign disease as very-low, low, or medium-low risk. This model exhibited better sensitivity than ROMA, but ROMA exhibited better specificity. Both models performed better than CA-125 alone. Conclusion: Combining ultrasound with HE4 can improve the sensitivity for detecting ovarian cancer compared to other algorithms. Keywords:
Persistent Identifierhttp://hdl.handle.net/10722/281711
ISSN
2019 Impact Factor: 3.304
2015 SCImago Journal Rankings: 0.858
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorWilailak, S-
dc.contributor.authorChan, KKL-
dc.contributor.authorChen, CA-
dc.contributor.authorNam, JH-
dc.contributor.authorOchiai, K-
dc.contributor.authorAw, TC-
dc.contributor.authorSabaratnam, S-
dc.contributor.authorHebbar, S-
dc.contributor.authorSickan, J-
dc.contributor.authorSchodin, BA-
dc.contributor.authorCharakom, C-
dc.contributor.authorSumpaico, WW-
dc.date.accessioned2020-03-22T04:18:37Z-
dc.date.available2020-03-22T04:18:37Z-
dc.date.issued2015-
dc.identifier.citationJournal of Gynecologic Oncology, 2015, v. 26 n. 1, p. 46-53-
dc.identifier.issn2005-0380-
dc.identifier.urihttp://hdl.handle.net/10722/281711-
dc.description.abstractObjective: 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). Methods: This was a prospective, multicenter (n=6) study with patients from six Asian countries. Patients had a pelvic mass upon imaging and were scheduled to undergo surgery. Serum CA-125 and HE4 were measured on preoperative samples, and ultrasound findings were recorded. Regression analysis was performed and a risk prediction model was developed based on the significant factors. A bootstrap technique was applied to assess the validity of the HE4 model. Results: A total of 414 women with a pelvic mass were enrolled in the study, of which 328 had documented ultrasound findings. The risk prediction model that contained HE4, menopausal status, and ultrasound findings exhibited the best performance compared to models with CA-125 alone, or a combination of CA-125 and HE4. This model classified 77.2% of women with ovarian cancer as medium or high risk, and 86% of women with benign disease as very-low, low, or medium-low risk. This model exhibited better sensitivity than ROMA, but ROMA exhibited better specificity. Both models performed better than CA-125 alone. Conclusion: Combining ultrasound with HE4 can improve the sensitivity for detecting ovarian cancer compared to other algorithms. Keywords:-
dc.languageeng-
dc.publisherAsian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology. The Journal's web site is located at http://www.gyneoncology.or.kr/-
dc.relation.ispartofJournal of Gynecologic Oncology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAlgorithms-
dc.subjectCA-125 Antigen-
dc.subjectOvarian Neoplasms-
dc.subjectProspective Studies-
dc.subjectRegression Analysis-
dc.titleDistinguishing benign from malignant pelvic mass utilizing an algorithm with HE4, menopausal status, and ultrasound findings-
dc.typeArticle-
dc.identifier.emailChan, KKL: kklchan@hkucc.hku.hk-
dc.identifier.authorityChan, KKL=rp00499-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3802/jgo.2015.26.1.46-
dc.identifier.pmid25310857-
dc.identifier.pmcidPMC4302285-
dc.identifier.scopuseid_2-s2.0-84926374041-
dc.identifier.hkuros309440-
dc.identifier.volume26-
dc.identifier.issue1-
dc.identifier.spage46-
dc.identifier.epage53-
dc.publisher.placeKorea-

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