Diagnostic Value of Risk of Malignancy Algorithm (ROMA) in Adnexal Masses
- PMID: 32476768
- PMCID: PMC7239964
- DOI: 10.1007/s13224-019-01295-3
Diagnostic Value of Risk of Malignancy Algorithm (ROMA) in Adnexal Masses
Abstract
Background: Differentiating malignancy from benign diseases is the key to successful management of adnexal masses. Risk of malignancy algorithm (ROMA) has been used for this purpose. We have prospectively studied the diagnostic value of ROMA in patients presented with adnexal masses.
Methods: We prospective calculated ROMA values prior to surgery for adnexal masses. The risk calculated was then correlated with the histological findings, and results were analyzed according to menopausal status. ROMA cutoff value was determined using ROC curve, and sensitivity, specificity and predictive values were calculated. Statistics were performed on SPSS software (version 20.0).
Results: There were 94 patients with adnexal masses included in the study, 65 (69.1%) had epithelial ovarian cancer and 29 (30.9%) were diagnosed benign on histopathology. In both pre- and postmenopausal patients, ROMA values were significantly higher in patients with malignancy compared to those with benign disease (p < 0.05). ROMA score was of a significant diagnostic value in both premenopausal (AUC = 0.914, Z = 10.81, p < 0.001) and postmenopausal patients (AUC = 0.975, Z = 21.51, p < 0.001). In premenopausal females, ROMA > 13.3% was able to discriminate malignant from benign patients with 97.06% sensitivity and 85.00% specificity. The positive and negative predictive values were 91.7% and 94.4%. Similarly, in postmenopausal females, ROMA value of > 76% achieved 87.10% sensitivity and 100.00% specificity in discriminating malignant from benign patients with 100% positive and 69.2% negative predictive value. The overall accuracy of ROMA in pre- and postmenopausal patients was 87.0% and 85%, respectively.
Conclusions: ROMA is a useful and accurate test for differentiating epithelial ovarian cancer from benign ovarian masses. Further studies are needed to compare performance of ROMA with the Risk of Malignancy Index (RMI), CA 125 and HE4. Such comparative studies will be helpful to the clinician in deciding the best diagnostic tool for women with adnexal masses.
Keywords: Adnexal mass; CA 125; HE4; ROMA.
© Federation of Obstetric & Gynecological Societies of India 2019.
Conflict of interest statement
Conflict of interestThe authors declare that there is no conflict of interest in the present study.
Figures
Similar articles
-
Comparison of the predictive performance of risk of malignancy indexes 1-4, HE4 and risk of malignancy algorithm in the triage of adnexal masses.J Ovarian Res. 2020 Apr 25;13(1):46. doi: 10.1186/s13048-020-00643-6. J Ovarian Res. 2020. PMID: 32334618 Free PMC article.
-
Discriminative value of CA-125, HE4, Risk of Malignancy Index II (RMI-II) and Risk of Malignancy Algorithm (ROMA) in the differential diagnosis of pelvic masses: conclusions from a referral Centre in Portugal.J Obstet Gynaecol. 2018 Nov;38(8):1140-1145. doi: 10.1080/01443615.2018.1457632. Epub 2018 Jun 8. J Obstet Gynaecol. 2018. PMID: 29884096
-
Diagnostic accuracy and cost-effectiveness of different strategies to triage women with adnexal masses: a prospective study.Ultrasound Obstet Gynecol. 2017 Sep;50(3):395-403. doi: 10.1002/uog.17320. Ultrasound Obstet Gynecol. 2017. PMID: 27706929
-
Risk of Ovarian Malignancy Algorithm versus Risk Malignancy Index-I for Preoperative Assessment of Adnexal Masses: A Systematic Review and Meta-Analysis.Gynecol Obstet Invest. 2019;84(6):591-598. doi: 10.1159/000501681. Epub 2019 Jul 16. Gynecol Obstet Invest. 2019. PMID: 31311023
-
Comparative Meta-Analysis of Carbohydrate Antigen 125 (CA125), Human Epididymis Protein 4 (HE4), and Diagnostic Indices (Risk of Malignancy Index (RMI) and Risk of Ovarian Malignancy Algorithm (ROMA)) for Pre-operative Detection of Ovarian Carcinoma.Cureus. 2025 Apr 17;17(4):e82415. doi: 10.7759/cureus.82415. eCollection 2025 Apr. Cureus. 2025. PMID: 40385783 Free PMC article. Review.
Cited by
-
Comparisons of Effectiveness in Differentiating Benign from Malignant Ovarian Masses between Conventional and Modified Risk of Malignancy Index (RMI).Int J Environ Res Public Health. 2023 Jan 3;20(1):888. doi: 10.3390/ijerph20010888. Int J Environ Res Public Health. 2023. PMID: 36613208 Free PMC article.
-
Diagnostic Utility of Selected Matrix Metalloproteinases (MMP-2, MMP-3, MMP-11, MMP-26), HE4, CA125 and ROMA Algorithm in Diagnosis of Ovarian Cancer.Int J Mol Sci. 2024 Jun 6;25(11):6265. doi: 10.3390/ijms25116265. Int J Mol Sci. 2024. PMID: 38892452 Free PMC article.
-
A Comprehensive Review of Screening Methods for Ovarian Masses: Towards Earlier Detection.Cureus. 2023 Nov 8;15(11):e48534. doi: 10.7759/cureus.48534. eCollection 2023 Nov. Cureus. 2023. PMID: 38084173 Free PMC article. Review.
References
-
- Howlader N, Noone AM, Krapcho M, et al. SEER cancer statistics review, 1975–2011. Bethesda, MD: National Cancer Institute; 2014. Available at http://seer.cancer.gov/csr/1975_2011/.
-
- American College of Obstetricians and Gynecologists. Management of adnexal masses. ACOG Practice Bulletin No. 83. Obstet Gynecol. 2007; 110:201–214. - PubMed
-
- du Bois A, Rochon J, Pfisterer J, et al. Variations in institutional infrastructure, physician specialization and experience, and outcome in ovarian cancer: a systematic review. GynecolOncol. 2009;112:422–436. - PubMed
LinkOut - more resources
Full Text Sources
Research Materials