Kartiwa Hadi Nuryanto
Oncology Gynecology Division, Department of Obstetrics and Gynecology, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia

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The Role of Ultrasound in Predicting Malignancy in Ovarian Neoplasm: A Case Report Edward Christopher Yo; Kartiwa Hadi Nuryanto
Indonesian Journal of Cancer Vol. 20 No. 2 (2026): June
Publisher : http://dharmais.co.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33371/ijoc.v20i2.1493

Abstract

Background: Ovarian neoplasm is associated with the highest mortality rate compared to other gynecologic cancers. Unfortunately, non-specific symptoms and a lack of a reliable screening approach have led to failure in detecting most cases early. At present, there is an ongoing challenge in predicting whether an ovarian tumor is likely to be benign or malignant. This information is crucial as it will guide the treatment plan and inform the prognosis. Hence, this case report aims to elaborate on the role of ultrasound in the prediction of malignant status in ovarian neoplasms. Case Presentation: We present a case of a 59-year-old woman with a history of worsening abdominal pain and unintentional weight loss for 6 months before admission. The pain had significantly become more severe since 1 month before admission. A fixed, right lower quadrant mass was noted upon abdominal examination. TVS showed a right adnexal mass with a size of 11.94 x 9.94 x 9.02 cm with adhesion to the uterus. The mass presented with both solid and cystic components. Intraoperative diagnosis using frozen section showed clear cell ovarian carcinoma. The patient then underwent complete surgical staging.Conclusions: Ultrasound can be a reliable preoperative tool to predict malignancy in ovarian neoplasms, especially in resource-limited settings. Diagnostic accuracy can be improved by using several standardized morphological criteria, such as the IOTA simple rules approach, which is based on the M and B findings. Our patient’s ultrasound findings corresponded to two M-features (M1 and M4), which confirmed the tumor’s malignant status. In addition, a comprehensive assessment of the patient’s history, physical examination findings, and laboratory findings also aids in improving early detection of ovarian neoplasm and prediction of malignancy.