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简单规则、O-RADS、ADNEX和SRR模型:单个肿瘤中心对诊断预测模型的独立验证以及组合(两步策略)来评估附件肿块和卵巢肿瘤的恶性风险。

Simple rules, O-RADS, ADNEX and SRR model: Single oncologic center validation of diagnostic predictive models alone and combined (two-step strategy) to estimate the risk of malignancy in adnexal masses and ovarian tumors.

发表日期:2023 Sep 01
作者: Giulia Spagnol, Matteo Marchetti, Orazio De Tommasi, Amerigo Vitagliano, Francesco Cavallin, Roberto Tozzi, Carlo Saccardi, Marco Noventa
来源: GYNECOLOGIC ONCOLOGY

摘要:

为了比较不同的卵巢附属物(AMs)良恶性术前鉴别评估模型——附件肿瘤评估模型(ADNEX模型)、卵巢-附属物报告和数据系统(O-RADS)、简易规则风险(SRR)评估以及简易规则(SR)先后应用于SRR和应用于ADNEX的两步策略在良恶性AMs之间的性能,我们进行了一项回顾性研究,时间为2018年1月至2021年12月,连续入选AMs患者。 准确性指标包括敏感度(SE)和特异度(SP),对于ADNEX、O-RADS和SRR,分别计算其SE和SP,并计算它们的95%置信区间(CI)。当SR结果不确定时,采用"两步策略":应用SR + ADNEX模型和SR + SRR评估。共纳入514名妇女,其中400名(77.8%)患有良性卵巢肿瘤,114名(22.2%)患有恶性肿瘤。当恶性风险阈值设定为>10%时,ADNEX模型、O-RADS和SRR的SE和SP分别为:0.92(95% CI,0.86-0.96)和0.88(95% CI,0.85-0.91);0.93(95% CI,0.87-0.97)和0.89(95% CI,0.96-0.92);0.88(95% CI,0.80-0.93)和0.84(95% CI,0.80-0.87)。当应用SR时,109例(21.2%)结果不确定。SR + SRR评估和SR + ADNEX模型的SE和SP分别为0.88(95% CI,0.80-0.93)和0.92(95% CI,0.89-0.94),SR + ADNEX模型的SE和SP分别为0.90(95% CI,0.83-0.95)和0.93(95% CI,0.90-0.96)。 O-RADS的SE最高,与ADNEX模型和SR + ADNEX模型相似。然而,SR + ADNEX模型在SP和阳性预测值(PPV)方面表现更好。这个两步策略,即对不确定的SR应用SR和ADNEX模型,对临床评估非常方便。 版权所有 © 2023 The Authors. Elsevier Inc.保留所有权利。
To compare performance of Assessment of Different NEoplasias in the adneXa (ADNEX model), Ovarian-Adnexal Reporting and Data System (O-RADS), Simple Rules Risk (SRR) assessment and the two-step strategy based on the application of Simple Rules (SR) followed by SRR and SR followed by ADNEX in the pre-operative discrimination between benign and malignant adnexal masses (AMs).We conducted a retrospective study from January-2018 to December-2021 in which consecutive patients with at AMs were recruited. Accuracy metrics included sensitivity (SE) and specificity (SP) with their 95% confidence intervals (CI) were calculated for ADNEX, O-RADS and SRR. When SR was inconclusive a "two-step strategy" was adopted applying SR + ADNEX model and SR + SRR assessment.A total of 514 women were included, 400 (77.8%) had a benign ovarian tumor and 114 (22.2%) had a malignant tumor. At a threshold malignancy risk of >10%, the SE and SP of ADNEX model, O-RADS and SRR were: 0.92 (95% CI, 0.86-0.96) and 0.88 (95% CI, 0.85-0.91); 0.93 (95% CI, 0.87-0.97) and 0.89 (95% CI, 0.96-0.92); 0.88 (95% CI, 0.80-0.93) and 0.84 (95% CI, 0.80-0.87), respectively. When we applied SR, 109 (21.2%) cases resulted inconclusive. The SE and SP of two-step strategy SR + SRR assessment and SR + ADNEX model were 0.88 (95% CI, 0.80-0.93) and 0.92 (95% CI, 0.89-0.94), SR + ADNEX model 0.90 (95% CI, 0.83-0.95) and 0.93 (95% CI, 0.90-0.96), respectively.O-RADS presented the highest SE, similar to ADNEX model and SR + ADNEX model. However, the SR + ADNEX model presented the higher performance accuracy with the higher SP and PPV. This two-step strategy, SR and ADNEX model applicated to inconclusive SR, is convenient for clinical evaluation.Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.