卵巢肿瘤恶性指数风险与组织病理学结果的相关性。

IF 1 Q4 PRIMARY HEALTH CARE
Sadia Parween, Poonam Poonam, Amrita Amrita, Dipali Prasad, Archana Sinha, Anu Priya
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引用次数: 0

摘要

背景:卵巢肿瘤是最常见的妇科疾病之一。根据Globocan对2022年的死亡预测,预计全球将有800多万女性死于卵巢癌。恶性肿瘤风险指数(RMI)由超声(USG)评分(U)、绝经状态评分(M)和血清CA-125值的乘积得出。它是诊断卵巢恶性肿瘤的有效方法。本研究的目的是确定RMI - 3在卵巢肿瘤中的诊断准确性。材料和方法:这是一项前瞻性观察性研究,在妇产科进行,为期1年。总共有86名患者参加了这项研究。患者进行了所有常规检查,包括全腹超声和CA-125。计算RMI 3。所有患者均行剖腹手术。分析卵巢肿瘤的组织病理学报告与RMI评分的相关性。结果:在我们的研究中,绝经前患者最多(65例(75.6%)),多产患者最多(61.6%(53/86))。RMI评分(受试者-操作者特征曲线截止值为225)的特异性最高,为90.6%,阳性预测值为70.0%;USG评分的敏感性最高,为86.4%,阴性预测值为94.6%。RMI评分(截止值为225)和USG评分的诊断准确率相似,均为83.7%。结论:本研究认为,相对于CA-125、绝经期评分、超声评分等单项指标,RMI是诊断恶性概率较高的卵巢肿瘤的有效技术。它将有助于患者及时转诊到妇科肿瘤中心,以获得最佳的手术管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Correlation between risk of malignancy index and histopathological findings in ovarian tumors.

Correlation between risk of malignancy index and histopathological findings in ovarian tumors.

Correlation between risk of malignancy index and histopathological findings in ovarian tumors.

Background: Ovarian tumors are one of the most frequent gynecological issues. According to Globocan death projections for 2022, more than 8 million women are predicted to lose their lives to ovarian cancer globally. The risk of malignancy index (RMI) is derived from the product of the ultrasonographic (USG) score (U), menopausal status score (M), and serum CA-125 value. It is an effective technique for diagnosing ovarian malignancy. The aim of the study was to determine the diagnostic accuracy of RMI 3 in ovarian tumors.

Materials and methods: This was a prospective observational study and was carried out in the Obstetrics and Gynecology Department over the course of 1 year. In total, 86 patients were enrolled in the study. Patient underwent all routine investigations, including ultrasound whole abdomen and CA-125. RMI 3 was calculated. All the patients underwent laparotomy. The histopathological report of the ovarian tumors was analyzed for correlation with the RMI score.

Results: In our study, maximum number of patients were pre-menopausal (65 (75.6%)) and multiparous (61.6% (53/86)). The RMI score (cutoff at 225 by receiver-operator characteristic curve) had the highest specificity at 90.6% and positive predictive value at 70.0%, while the USG score had the highest sensitivity at 86.4% and negative predictive value at 94.6%. Both the RMI score (cutoff at 225) and the USG score had similar diagnostic accuracy of 83.7%.

Conclusion: This study concluded that RMI is an effective technique for diagnosing ovarian tumors with a high probability of malignancy than individual indicators such as CA-125, menopausal score, and ultrasound score. It will help in timely referral of patients to gynecological oncology centers for their optimal surgical management.

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