Suppr超能文献

三维多普勒超声在评估颈部淋巴结转移和头颈部癌症分期中的应用。

Three-dimensional Doppler ultrasonography in assessing nodal metastases and staging head and neck cancer.

机构信息

Department of Otorhinolaryngology, Head and Neck Surgery, Changhua Christian Hospital, Changhua, Taiwan.

出版信息

Laryngoscope. 2013 Dec;123(12):3037-42. doi: 10.1002/lary.24219. Epub 2013 Oct 10.

Abstract

OBJECTIVES/HYPOTHESIS: This study built a simple prediction system by three-dimensional (3D) Doppler ultrasonography to evaluate the metastases of cervical lymph nodes and the preoperative initial stage of head and neck cancer.

STUDY DESIGN

Retrospective review of cervical lymph node ultrasound features and prospective nodal staging of head and neck cancer.

METHODS

One hundred thirty-nine suspicious cervical lymph nodes, receiving 3D Doppler ultrasonography, were used to establish a predictive model. Then nodal metastasis was initially staged from 27 patients with head and neck cancer by this model.

RESULTS

The prediction system was constructed by major (internal matting, vascularity pattern) and minor (age ≥ 40 years, short/long ratio ≥ 0.5) sign categories. Cervical lymph node was regarded as metastasis with the presence of one major and any of the other factors. The predictive model resulted in sensitivity of 91.9%, specificity of 88.2%, and accuracy of 89.2%. Then we evaluated the initial staging of patients with head and neck cancer by this model, and the rate of correct N staging was 92.6%.

CONCLUSIONS

According to this prediction system, 3D Doppler ultrasonography definitely provides a rapid and reliable method for initial staging of head and neck cancer.

摘要

目的/假设:本研究通过三维(3D)多普勒超声建立了一个简单的预测系统,以评估头颈部癌症的颈部淋巴结转移和术前初始阶段。

研究设计

回顾性分析颈部淋巴结超声特征和头颈部癌症的前瞻性淋巴结分期。

方法

对 139 个可疑的颈部淋巴结进行 3D 多普勒超声检查,建立预测模型。然后,通过该模型对头颈部癌症的 27 例患者进行初步分期。

结果

预测系统由主要(内部绒毛状、血管模式)和次要(年龄≥40 岁、长短比≥0.5)标志类别构建。当存在一个主要标志和任何其他因素时,颈部淋巴结被认为是转移。该预测模型的敏感性为 91.9%,特异性为 88.2%,准确性为 89.2%。然后,我们通过该模型评估了头颈部癌症患者的初始分期,N 分期的正确率为 92.6%。

结论

根据该预测系统,3D 多普勒超声确实为头颈部癌症的初始分期提供了一种快速可靠的方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验