Comparing Four Different Risk Malignancy Indices in Differentiating Benign and Malignant Ovarian Masses.

IF 1.2 Q3 OBSTETRICS & GYNECOLOGY
Journal of Mid-life Health Pub Date : 2024-04-01 Epub Date: 2024-07-05 DOI:10.4103/jmh.jmh_192_23
Rajlaxmi Mundhra, Anupama Bahadur, Jyotshna Kashibhatla, Sanjeev Kishore, Jaya Chaturvedi
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引用次数: 0

Abstract

Background: Accurate prediction of ovarian masses preoperatively is crucial for optimal management of ovarian cancers.

Objective: The objective of this study was to identify the risk of malignancy index (RMI) incorporating menopausal status, serum carbohydrate antigen 125 levels, and imaging findings for presurgical differentiation of benign from malignant ovarian masses and to evaluate the diagnostic ability of four different RMIs.

Materials and methods: Women presenting with ovarian masses from August 2018 to January 2020 were evaluated preoperatively with detailed history, examination, imaging, and tumor markers. RMI 1-4 was calculated for all patients. Evaluation of the diagnostic utility of four different RMIs for preoperative identification of malignancy was based on the increment of the area under the receiver operating characteristic curve. Histopathological diagnosis was used as the gold standard test.

Results: One hundred and twenty-one patients fulfilling the eligibility criteria were enrolled in this study. Benign tumors constituted 61 (50.4%) out of 121 cases, followed by malignant tumors and borderline tumors constituting 49 (40.49%) cases and 11 (9.09%) cases, respectively. The sensitivity of RMIs 1, 2, 3, and 4 was 77.0%, 63%, 77.0%, and 77.0%, respectively, and the specificity was 84%, 86%, 77%, and 71%, respectively. The RMI 2 had higher specificity at predicting malignancy than other RMIs while diagnostic accuracy was highest in RMI 1.

Conclusion: The RMI method is a simple and cost-effective technique in preoperative differentiation of ovarian masses.

比较四种不同的风险恶性指数,以区分良性和恶性卵巢肿块。
背景:术前准确预测卵巢肿块对卵巢癌的最佳治疗至关重要:术前准确预测卵巢肿块对卵巢癌的最佳治疗至关重要:本研究旨在确定结合绝经状态、血清碳水化合物抗原 125 水平和影像学检查结果的恶性肿瘤风险指数(RMI),用于术前区分良性和恶性卵巢肿块,并评估四种不同 RMI 的诊断能力:对 2018 年 8 月至 2020 年 1 月期间出现卵巢肿块的女性进行术前评估,详细询问病史、检查、影像学检查和肿瘤标志物。计算所有患者的 RMI 1-4。根据接收者操作特征曲线下面积的增量,评估四种不同 RMI 对术前识别恶性肿瘤的诊断效用。组织病理学诊断作为金标准检测:本研究共纳入了 121 名符合资格标准的患者。在 121 例中,良性肿瘤占 61 例(50.4%),其次是恶性肿瘤和边缘性肿瘤,分别占 49 例(40.49%)和 11 例(9.09%)。RMI1、2、3 和 4 的敏感性分别为 77.0%、63%、77.0% 和 77.0%,特异性分别为 84%、86%、77% 和 71%。与其他 RMI 相比,RMI 2 预测恶性肿瘤的特异性更高,而 RMI 1 的诊断准确性最高:结论:RMI 方法是一种用于卵巢肿块术前分型的简单而经济的技术。
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来源期刊
Journal of Mid-life Health
Journal of Mid-life Health Social Sciences-Health (social science)
CiteScore
1.70
自引率
9.10%
发文量
39
审稿时长
43 weeks
期刊介绍: Journal of mid-life health is the official journal of the Indian Menopause society published Quarterly in January, April, July and October. It is peer reviewed, scientific journal of mid-life health and its problems. It includes all aspects of mid-life health, preventive as well as curative. The journal publishes on subjects such as gynecology, neurology, geriatrics, psychiatry, endocrinology, urology, andrology, psychology, healthy ageing, cardiovascular health, bone health, quality of life etc. as relevant of men and women in their midlife. The Journal provides a visible platform to the researchers as well as clinicians to publish their experiences in this area thereby helping in the promotion of mid-life health leading to healthy ageing, growing need due to increasing life expectancy. The Editorial team has maintained high standards and published original research papers, case reports and review articles from the best of the best contributors both national & international, consistently so that now, it has become a great tool in the hands of menopause practitioners.
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