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Siriraj 医院应用 ADNEX 模型对附件包块卵巢癌风险的术前评估。

Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital.

机构信息

Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand,

出版信息

Gynecol Obstet Invest. 2021;86(1-2):132-138. doi: 10.1159/000513517. Epub 2021 Feb 17.

Abstract

INTRODUCTION

Distinguishing benign adnexal masses from malignant tumors plays an important role in preoperative planning and improving patients' survival rates. The International Ovarian Tumor Analysis (IOTA) group developed a model termed the Assessment of Different NEoplasias in the adneXa (ADNEX).

OBJECTIVE

Our objective was to evaluate the performance of the ADNEX model in distinguishing between benign and malignant tumors at a cutoff value of 10%.

METHODS

This was a prospective diagnostic study. 357 patients with an adnexal mass who were scheduled for surgery at Siriraj Hospital were included from May 1, 2018, to May 30, 2019. All patients were undergoing ultrasonography, and serum CA125 was measured. Data were calculated by the ADNEX model via an IOTA ADNEX calculator.

RESULTS

Of the 357 patients, 296 had benign tumors and 61 had malignant tumors. The area under the receiver operating characteristic curve for using the ADNEX model was 0.975 (95% confidence interval, 0.953-0.988). At a 10% cutoff, the sensitivity was 98.4% and specificity was 87.2%. The best cutoff value was at 16.6% in our population.

CONCLUSIONS

The performance of the ADNEX model in differentiating benign and malignant tumors was excellent.

摘要

简介

区分良性附件肿块和恶性肿瘤对于术前规划和提高患者生存率具有重要意义。国际卵巢肿瘤分析(IOTA)组开发了一种称为附件中不同肿瘤评估(ADNEX)的模型。

目的

我们的目的是评估 ADNEX 模型在以 10%截断值区分良性和恶性肿瘤时的性能。

方法

这是一项前瞻性诊断研究。2018 年 5 月 1 日至 2019 年 5 月 30 日,在 Siriraj 医院接受手术的 357 名附件肿块患者被纳入研究。所有患者均接受超声检查和血清 CA125 测量。通过 IOTA ADNEX 计算器计算 ADNEX 模型的数据。

结果

357 名患者中,296 名患者为良性肿瘤,61 名患者为恶性肿瘤。使用 ADNEX 模型的受试者工作特征曲线下面积为 0.975(95%置信区间,0.953-0.988)。在 10%的截断值时,敏感性为 98.4%,特异性为 87.2%。在我们的人群中,最佳截断值为 16.6%。

结论

ADNEX 模型在区分良性和恶性肿瘤方面的性能非常出色。

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