基于多参数超声的 logistic 回归模型在评估颈部淋巴结病变中的效能 - 一项回顾性研究。
Efficacy of logistic regression model based on multiparametric ultrasound in assessment of cervical lymphadenopathy - a retrospective study.
机构信息
Department of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou, China.
Department of Medical Ultrasound, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
出版信息
Dentomaxillofac Radiol. 2022 Feb 1;51(2):20210308. doi: 10.1259/dmfr.20210308. Epub 2021 Oct 5.
OBJECTIVES
To investigate whether a multiparametric ultrasound (MPUS) diagnostic model improves differential diagnosis of benign and malignant cervical lymph nodes.
METHODS
MPUS evaluation was performed on 87 lesions in 86 patients, and related characteristics and parameters of the patients and lesions were studied and logistic regression models based on the MPUS characteristics of cervical lymph nodes were built. A receiver operating characteristic curve and area under the curve (AUC) were built for the evaluation of diagnostic performances.
RESULTS
Of the 87 lesions in 86 patients, there were 31 benign and 56 malignant lesions. Regression models for Duplex ultrasound and MPUS were established. The Duplex ultrasound regression model showed a sensitivity, specificity, positive predictive value and negative predictive value of 94.4, 61.3, 86.3 and 80.9%, respectively. The predictive accuracy was 82.4%, and the AUC was 0.861. The MPUS regression model showed a sensitivity, specificity, positive predictive value and negative predictive value of 98.1, 61.3, 81.5 and 95.0%, respectively. The predictive accuracy was 84.7%, and the AUC was 0.894. The differences in AUCs between the Duplex ultrasound model and MPUS model, ultrasound model and ultrasonic elastography (UE), and Duplex ultrasound and UE were not significant (all > 0.05); the differences in AUCs between the MPUS model and Duplex ultrasound, Duplex ultrasound model and Duplex ultrasound, and MPUS model and UE were significant (all < 0.05).
CONCLUSIONS
The Duplex ultrasound and MPUS models achieve significantly higher diagnostic performance for differentiating between benign and malignant cervical lymph nodes.
目的
研究多参数超声（MPUS）诊断模型是否能提高对良恶性宫颈淋巴结的鉴别诊断能力。
方法
对 86 例患者的 87 个病灶进行 MPUS 评估，并对患者和病灶的相关特征和参数进行研究，建立基于宫颈淋巴结 MPUS 特征的逻辑回归模型。绘制受试者工作特征曲线和曲线下面积（AUC），以评估诊断性能。
结果
86 例患者的 87 个病灶中，良性病灶 31 个，恶性病灶 56 个。建立了双功能超声和 MPUS 回归模型。双功能超声回归模型的灵敏度、特异度、阳性预测值和阴性预测值分别为 94.4%、61.3%、86.3%和 80.9%，预测准确率为 82.4%，AUC 为 0.861。MPUS 回归模型的灵敏度、特异度、阳性预测值和阴性预测值分别为 98.1%、61.3%、81.5%和 95.0%，预测准确率为 84.7%，AUC 为 0.894。双功能超声模型与 MPUS 模型、超声模型与超声弹性成像（UE）、双功能超声与 UE 之间的 AUC 差异均无统计学意义（均>0.05）；MPUS 模型与双功能超声、双功能超声模型与双功能超声、MPUS 模型与 UE 之间的 AUC 差异均有统计学意义（均<0.05）。
结论
双功能超声和 MPUS 模型在鉴别良恶性宫颈淋巴结方面具有显著更高的诊断性能。
Zotero 插件