Rodríguez-Rubio Carmen, Vegas-Viedma Sara, Del Olmo-Reillo Malena, Quintana-Zapata Paula, Sancho-Sauco Javier, Pablos-Antona Mª Jesús, Alcázar Juan Luis, Pelayo-Delgado Irene
Department of Obstetrics and Gynecology, 12 de Octubre Universitary Hospital, 28041 Madrid, Spain.
Foundation for Biomedical Investigation of Ramón y Cajal Universitary Hospital (FibIO), 28034 Madrid, Spain.
Biomedicines. 2025 Jan 29;13(2):317. doi: 10.3390/biomedicines13020317.
The accurate diagnosis of adnexal masses is a critical challenge in gynecological practice. Current ultrasound-based models, such as the ADNEX model, IOTA Simple Rules, and O-RADS, have demonstrated good diagnostic performance but are limited by the inclusion of demographic factors and solid confounding lesions. This study aimed to develop and validate a novel ultrasound score (ECO-SCORE) for cystic and solid-cystic lesions based solely on imaging characteristics to improve diagnostic accuracy and applicability in clinical practice. We conducted a retrospective study on 330 women diagnosed with adnexal masses, including 251 benign and 79 malignant cases. Ultrasound features were analyzed using logistic regression to identify key predictors of malignancy. A new scoring model was developed, excluding demographic or tumor-marker data. Diagnostic performance metrics, including sensitivity, specificity, AUC, and odds ratios, were calculated and compared to existing models using a testing set (20% of the data). The ECO-SCORE achieved an AUC of 97.08%, outperforming ADNEX model (87.5%), IOTA Simple Rules (85.7%), and O-RADS (87.5%). Sensitivity and specificity were 92.98% and 88.88%, respectively, with an odds ratio of 106. Key predictors included irregular contour, absence of acoustic shadows, vascularization within solid areas, and vascularization of papillae. The ECO-SCORE demonstrated superior diagnostic accuracy compared to established models, highlighting its potential as a reliable tool for assessing adnexal masses using ultrasound features exclusively. Further multicenter validation is needed to confirm its robustness across different clinical settings.
附件包块的准确诊断是妇科临床实践中的一项关键挑战。当前基于超声的模型,如ADNEX模型、IOTA简单规则和O-RADS,已显示出良好的诊断性能,但受到人口统计学因素和实性混杂病变的限制。本研究旨在开发并验证一种仅基于影像学特征的针对囊性和实性-囊性病变的新型超声评分(ECO-SCORE),以提高临床实践中的诊断准确性和适用性。我们对330例诊断为附件包块的女性进行了回顾性研究,包括251例良性病例和79例恶性病例。使用逻辑回归分析超声特征,以确定恶性肿瘤的关键预测因素。开发了一种新的评分模型,排除了人口统计学或肿瘤标志物数据。计算了诊断性能指标,包括敏感性、特异性、AUC和优势比,并使用测试集(数据的20%)与现有模型进行比较。ECO-SCORE的AUC达到97.08%,优于ADNEX模型(87.5%)、IOTA简单规则(85.7%)和O-RADS(87.5%)。敏感性和特异性分别为92.98%和88.88%,优势比为106。关键预测因素包括轮廓不规则、无声影、实性区域内血管化以及乳头血管化。与已建立的模型相比,ECO-SCORE显示出更高的诊断准确性,突出了其仅使用超声特征评估附件包块作为可靠工具的潜力。需要进一步的多中心验证来确认其在不同临床环境中的稳健性。