Diagnostic accuracy of the risk of malignancy index for adnexal masses in women over 35 years: a prospective cross-sectional study at a tertiary care centre in Punjab, India.
DOI:
https://doi.org/10.51168/qqn8qs93Keywords:
Adnexal mass, CA-125 antigen, ovarian neoplasms, risk of malignancy index, sensitivity and specificityAbstract
Background:
The risk of malignancy index (RMI) is widely used to decide which adnexal masses should be referred to a gynaecological oncologist, but few Indian studies report which tumours the index misses. This study estimated the accuracy of RMI at the conventional cut-off of 200 against histopathology, compared it with its individual components, and examined misclassified cases by histological type and menopausal status.
Methodology:
This prospective cross-sectional study enrolled 80 consecutive women aged over 35 years with an adnexal mass scheduled for surgery at a tertiary care teaching hospital in Punjab, India, from 23 April 2021 to 22 October 2022. RMI was calculated as U × M × CA-125, with the ultrasound score (U) and menopausal score (M) each 1 or 3. Histopathology was the reference standard.
Results:
Forty-seven of 80 masses (58.8%) were malignant. At a cut-off of 200, RMI had a sensitivity of 87.2% (95% CI 74.3–95.2), specificity of 87.9% (71.8–96.6), positive likelihood ratio 7.2 and negative likelihood ratio 0.15. The area under the ROC curve was 0.94 (0.88–0.99), higher than for CA-125 (0.84; P = .002), ultrasound score (0.85; P = .043) or menopausal status (0.83; P = .008) alone. Five of six false negatives were mucinous carcinomas: RMI detected 2 of 7 mucinous carcinomas against 39 of 40 other malignancies (P < .001). Specificity in postmenopausal women was 4 of 7.
Conclusion:
RMI at 200 performed as reported in other populations. A lower in-sample optimum near 160 rested on three mucinous carcinomas and is too unstable to replace 200. A low RMI should not overrule a malignant-appearing ultrasound, particularly when a mucinous tumour is possible.
Recommendation:
Multicentre studies that include women managed without surgery, document blinding, and compare RMI with International Ovarian Tumor Analysis (IOTA) models in the same patients are needed.
References
1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209-49. https://doi.org/10.3322/caac.21660
2. Jacobs I, Oram D, Fairbanks J, Turner J, Frost C, Grudzinskas JG. A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer. Br J Obstet Gynaecol. 1990;97(10):922-9. https://doi.org/10.1111/j.1471-0528.1990.tb02448.x
3. Tingulstad S, Hagen B, Skjeldestad FE, Onsrud M, Kiserud T, Halvorsen T, et al. Evaluation of a risk of malignancy index based on serum CA125, ultrasound findings and menopausal status in the pre-operative diagnosis of pelvic masses. Br J Obstet Gynaecol. 1996;103(8):826-31. https://doi.org/10.1111/j.1471-0528.1996.tb09882.x
4. Tingulstad S, Hagen B, Skjeldestad FE, Halvorsen T, Nustad K, Onsrud M. The risk-of-malignancy index to evaluate potential ovarian cancers in local hospitals. Obstet Gynecol. 1999;93(3):448-52.
https://doi.org/10.1097/00006250-199903000-00028
5. Yamamoto Y, Yamada R, Oguri H, Maeda N, Fukaya T. Comparison of four malignancy risk indices in the preoperative evaluation of patients with pelvic masses. Eur J Obstet Gynecol Reprod Biol. 2009;144(2):163-7.
https://doi.org/10.1016/j.ejogrb.2009.02.048
6. Geomini P, Kruitwagen R, Bremer GL, Cnossen J, Mol BW. The accuracy of risk scores in predicting ovarian malignancy: a systematic review. Obstet Gynecol. 2009;113(2 Pt 1):384-94.
https://doi.org/10.1097/AOG.0b013e318195ad17
7. Kaijser J, Sayasneh A, Van Hoorde K, Ghaem-Maghami S, Bourne T, Timmerman D, et al. Pre-surgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis. Hum Reprod Update. 2014;20(3):449-62. https://doi.org/10.1093/humupd/dmt059
8. Timmerman D, Van Calster B, Testa A, Savelli L, Fischerova D, Froyman W, et al. Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group. Am J Obstet Gynecol. 2016;214(4):424-37. https://doi.org/10.1016/j.ajog.2016.01.007
9. Van Calster B, Van Hoorde K, Valentin L, Testa AC, Fischerova D, Van Holsbeke C, et al. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study. BMJ. 2014;349:g5920. https://doi.org/10.1136/bmj.g5920
10. Timmerman D, Planchamp F, Bourne T, Landolfo C, du Bois A, Chiva L, et al. ESGO/ISUOG/IOTA/ESGE consensus statement on preoperative diagnosis of ovarian tumors. Ultrasound Obstet Gynecol. 2021;58(1):148-68.
https://doi.org/10.1002/uog.23635
11. Chopra S, Vaishya R, Kaur J. An evaluation of the applicability of the risk of malignancy index for adnexal masses to patients seen at a tertiary hospital in Chandigarh, India. J Obstet Gynaecol India. 2015;65(6):405-10.
https://doi.org/10.1007/s13224-014-0583-7
12. Javdekar R, Maitra N. Risk of malignancy index (RMI) in evaluation of adnexal mass. J Obstet Gynaecol India. 2015;65(2):117-21. https://doi.org/10.1007/s13224-014-0609-1
13. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351:h5527. https://doi.org/10.1136/bmj.h5527
14. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837-45.
https://doi.org/10.2307/2531595
15. Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med. 1996;3(9):895-900. https://doi.org/10.1111/j.1553-2712.1996.tb03538.x
16. Enakpene CA, Omigbodun AO, Goecke TW, Odukogbe AT, Beckmann MW. Preoperative evaluation and triage of women with suspicious adnexal masses using risk of malignancy index. J Obstet Gynaecol Res. 2009;35(1):131-8. https://doi.org/10.1111/j.1447-0756.2008.00869.x
17. Bouzari Z, Yazdani S, Shirkhani Kelagar Z, Abbaszadeh N. Risk of malignancy index as an evaluation of preoperative pelvic mass. Caspian J Intern Med. 2011;2(4):331-5. https://doi.org/10.1186/1756-0500-4-206
18. Choi JH, Sohn GS, Chay DB, Cho HB, Kim JH. Preoperative serum levels of cancer antigen 125 and carcinoembryonic antigen ratio can improve differentiation between mucinous ovarian carcinoma and other epithelial ovarian carcinomas. Obstet Gynecol Sci. 2018;61(3):344-51. https://doi.org/10.5468/ogs.2018.61.3.344
19. Seidman JD, Kurman RJ, Ronnett BM. Primary and metastatic mucinous adenocarcinomas in the ovaries: incidence in routine practice with a new approach to improve intraoperative diagnosis. Am J Surg Pathol. 2003;27(7):985-93. https://doi.org/10.1097/00000478-200307000-00014
20. Leeflang MM, Bossuyt PM, Irwig L. Diagnostic test accuracy may vary with prevalence: implications for evidence-based diagnosis. J Clin Epidemiol. 2009;62(1):5-12. https://doi.org/10.1016/j.jclinepi.2008.04.007
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Dr. Harpreet Kaur, Dr. Pardeep Garg, Dr. Harkiratjit Singh Bhullar, Dr. Sarita Nibhoria

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.














