The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy

Risk of Ovarian Malignancy Algorithm (ROMA) sebagai Prediktor Keganasan Ovarium

  • Darlin Forbes Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital Jakarta
  • Irawan Sastradinata Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital Jakarta
  • Patiyus Agustiansyah Faculty of Medicine Universitas Sriwijaya Dr. Mohammad Hoesin Hospital Palembang
  • Theodorus Theodorus Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital Jakarta

Abstract

Object: To assess the diagnostic value of Risk of Ovarian Malignancy Algorithm (ROMA) in predicting ovarian malignancy.

Methods: Diagnostic test was performed at dr. Mohammad Hoesin Hospital Palembang during June 2016 to November 2016. Data were analized with SPSS version 21.0 and Med-calc statistic.

Results: A total of 57 subjects were recruited in this study. Subjects were divided into two groups: the premenopausal and postmenopausal group. Analysis with ROC curve was performed, the ROMA optimal cut-off of ROMA was 23.7% and 48.15% in the premenopausal and the post-menopausal group, respectively. With the optimal cut-off, the sensitivity was 79.41% and specivicity was 75%, positive predictive value wa 73.07% and negative predictive value 83.77% with accuracy 76.92% in diagnosing ovarian malignancy. Compared to RMI-3, the sensitivity was 65.5% and specivicity was 85.7% with accuracy 75.44%.

Conclusion: ROMA is not a reliable diagnostic tools of ovarian malignancy.

Keywords: CA125, HE4, ovarian cancer, risk of ovarian malignancyalgorithm/ ROMA, risk of ovarian malignancy index/RMI

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Author Biographies

Darlin Forbes, Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital Jakarta

Department of Obstetrics and Gynecology

Irawan Sastradinata, Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital Jakarta

Department of Obstetrics and Gynecology

Patiyus Agustiansyah, Faculty of Medicine Universitas Sriwijaya Dr. Mohammad Hoesin Hospital Palembang

Department of Obstetrics and Gynecology

Theodorus Theodorus, Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital Jakarta

Medical Research Unit

Published
2017-12-08
Section
Research Article