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Title

Risk of malignancy index and its implication in clinicopathological evaluation for ovarian mass

 

Authors

Bharti Kumari¹, Rashmi Rani Bharti¹, Pankaj Kumar Chaudhary², Guddi Rani Singh¹,*, Namita Singh¹, Sangeeta Pankaj³ & Neetu Sinha4

 

Affiliation

¹Department of Pathology, Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India; ²Medical Officer, Referral Hospital, Mokama, Patna, Bihar, India; ³Department of Gynaecological Oncology (SCI), Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India; 4Department of Radiology, Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India; *Corresponding author

 

Email

Bharti Kumari - E-mail: bchoudhary1012@gmail.com
Rashmi Rani Bharti - E-mail: rashmi.99.rims@gmail.com
Pankaj Kumar Chaudhary - E-mail: pankajchaudhary.dr@gmail.com
Guddi Rani Singh - E-mail: drgrsinghpatho@gmai.com
Namita Singh - E-mail: namitasingh1312@gmail.com
Sangeeta Pankaj - E-mail: drsangeetapankaj@gmail.com
Neetu Sinha - E-mail: dr.neetu.sinha@gmail.com

 

Article Type

Research Article

 

Date

Received August 1, 2026; Revised August 31, 2026; Accepted August 31, 2026, Published August 31, 2026

 

Abstract

Accurate pre-operative differentiation of benign, borderline and malignant ovarian masses is essential for appropriate treatment planning and patient outcomes. Therefore, it is of interest to evaluate the diagnostic performance of the risk of malignancy index in 155 ovarian mass cases over 1 year, using ultrasound findings, menopausal status and serum cancer antigen 125 levels, with histomorphological examination as the reference standard. Ovarian-adnexal reporting and data system ultrasound classification will also be assessed to improve pre-operative diagnostic accuracy. The study will determine the risk of malignancy index to stratify ovarian masses linking with histological findings. Thus, we describe a practical and economical approach to pre-operative ovarian mass stratification and decision-making.

 

Keywords

Risk of malignancy index (RMI), ovarian mass, cancer antigen 125 (CA-125), ovarian-adnexal reporting and data system (O-RADS), histopathology, menopausal status

 

Citation

Kumari et al. Bioinformation 22(8): 5154-5158 (2026)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.