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首页> 外文期刊>Journal of Clinical Medicine >Validation of IOTA-ADNEX Model in Discriminating Characteristics of Adnexal Masses: A Comparison with Subjective Assessment
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Validation of IOTA-ADNEX Model in Discriminating Characteristics of Adnexal Masses: A Comparison with Subjective Assessment

机译：IOTA-ADNEX模型在辨别侧群体的区分特征中的验证 - 与主观评估的比较

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(1) Background: The aim of this study is to compare the IOTA-ADNEX (international ovarian tumor analysis–assessment of different neoplasias in the adnexa) model with gynecologic experts in differentiating ovarian diseases. (2) Methods: All participants in this prospective study underwent ultrasonography (US) equipped with the IOTA-ADNEX TM model and subjective assessment by a sonographic expert. Receiver operating characteristic (ROC) curves were also generated to compare overall accuracies. The optimal cut-off value of the ADNEX model for excluding benign diseases was calculated. (3) Results: Fifty-nine participants were eligible: 54 and 5 underwent surgery and follow-up computed tomography (CT), respectively. Benign and malignant diseases were confirmed in 49 (83.1%) and 10 (16.9%) participants, respectively. The specificity of the ADNEX model was 0.816 (95% confidence interval (CI): 0.680–0.912) in all participants and 0.795 (95% CI, 0.647–0.902) in the surgical group. The area under the ROC curve of the ADNEX model (0.924) was not significantly different from that of subjective assessment (0.953 in all participants, 0.951 in the surgical group; p = 0.391 in all participants, p = 0.407 in the surgical group). The optimal cut-off point using the ADNEX model was 47.3%, with a specificity of 0.977 (95% CI: 0.880–0.999). (4) Conclusions: The IOTA-ADNEX model is equal to gynecologic US experts in excluding benign ovarian tumors. Subsequently, being familiar with this US software may help gynecologic beginners to reduce unnecessary surgery.
机译：（1）背景：本研究的目的是将IOTA-Adnex（Into Indnexa中不同肿瘤的国际卵巢肿瘤分析评估 - 分化卵巢疾病的妇科专家进行比较。 （2）方法：这项前瞻性研究中的所有参与者都经过超声检查（美国），配备了IOTA-Adnex TM模型和超声专家的主观评估。还产生了接收器操作特征（ROC）曲线以比较整体精度。计算了不包括良性疾病的ADNEX模型的最佳截止值。 （3）结果：59名参与者符合条件：54和5分别进行手术和后续计算机断层扫描（CT）。在49（83.1％）和10名（16.9％）参与者中，确认了良性和恶性疾病。 Adnex模型的特异性在所有参与者中的0.816（95％置信区间（CI）：0.680-0.912），手术组中的0.795（95％CI，0.647-0.902）。 adnex模型的Roc曲线下的区域与主观评估（所有参与者中0.953的0.953，在手术组中0.951中的区域没有显着差异; P = 0.391在所有参与者中，手术组中的P = 0.407）。使用ADNEX模型的最佳截止点为47.3％，特异性为0.977（95％CI：0.880-0.999）。 （4）结论：IOTA-Adnex模型等于妇科美国专家，不包括良性卵巢肿瘤。随后，熟悉这个美国软件可能有助于妇科初学者来减少不必要的手术。

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