Deng Hongyan, Cao Kunpeng, Ye Xinhua, Lu Wenjuan, Chen Wenqin, Yuan Ya, Zhou Yasu, Shu Hua
Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Future Oncol. 2024 Dec;20(39):3279-3287. doi: 10.1080/14796694.2024.2430168. Epub 2024 Nov 20.
To investigate the application value of multimodality ultrasound in the evaluation of lymphoma.
The regression models were performed to determine whether there were differences in differentiating lymphoma from benign lymph nodes. Receiver operator curves were drawn to evaluate the diagnostic performance of three ultrasound modalities.
Multivariate analysis showed statistically significant differences in the long to short axes ratio, visibility of the hilum, Adler grade of blood flow, cortical echo, maximum elasticity, elastic color pattern, enhancement distribution, and Area. The combination of three modalities achieved a sensitivity of 95.6%, specificity of 87.5%, accuracy of 93.5%, positive predicted value of 97.0%, and negative predicted value of 82.4%.
Multimodal ultrasound can provide valuable differential diagnosis and improve the diagnostic performance.
探讨多模态超声在淋巴瘤评估中的应用价值。
采用回归模型确定淋巴瘤与良性淋巴结鉴别诊断是否存在差异。绘制受试者工作特征曲线以评估三种超声模态的诊断性能。
多因素分析显示，在长短轴比值、门部可见性、血流阿德勒分级、皮质回声、最大弹性、弹性彩色模式、增强分布及面积方面存在统计学显著差异。三种模态联合应用的灵敏度为95.6%，特异度为87.5%，准确度为93.5%，阳性预测值为97.0%，阴性预测值为82.4%。
多模态超声可为鉴别诊断提供有价值的信息并提高诊断性能。
