超声检查辅助CT或MRI评估放疗头颈癌患者颈部淋巴结肿大的研究
Evaluation of Cervical Lymph Node Enlargement in Patients with Head and Neck Cancer Treated with Radiotherapy by Ultrasonography and CT or MRI
霍晓恺 1宁欣欣 1鲍金双 1李福强 1龙见渊2
作者信息
- 1. 聊城市第二人民医院超声科(山东聊城 252600)
- 2. 聊城市第二人民医院影像科(山东聊城 252600)
- 折叠
摘要
目的 本研究旨在评估超声(US)加/不加细针吸取细胞学(FNAC)和计算机断层扫描(CT)/磁共振成像(MRI)评估接受放射治疗的头颈癌患者颈淋巴结病(LAP)的诊断性能.方法 回顾性分析269名在2014年1月至2023年1月期间接受放射治疗(RT)或同期放化疗(CCRT)的头颈部癌症患者.诊断方法包括:(1)单纯CT/MRI;(2)CT/MRI结合放疗后超声预测模型;(3)CT/MRI联合US+FNAC.我们使用ROC曲线比较了它们的诊断性能.结果 总共观察到141个(52％)恶性淋巴结和128个(48％)良性淋巴结.在诊断准确率方面,CT/MRI和US+FNAC联合检查的ROC曲线下面积最高(0.965),其次是联合CT/MRI和放疗后US预测模型(0.906)和单独CT/MRI(0.836).结论 在评估接受放射治疗的头颈部癌症患者的LAP时,在诊断复发或持续性结节疾病方面,在CT/MRI中添加US检查比单独CT/MRI更高的诊断性能.
Abstract
Objective This study was designed to evaluate the diagnostic performance of cervical lymphatic disease(LAP)in patients with head and neck cancer undergoing radiotherapy using ultrasound(US)with/without fine needle aspiration cytology(FNAC)and computed tomography(CT)/magnetic resonance imaging(MRI).Methods 269 patients with head and neck cancer who received radiation therapy(RT)or concurrent chemoradiotherapy(CCRT)between January 2014 and January 2023 were retrospectively analyzed.The diagnostic methods included:(1)CT/MRI alone,(2)ultrasound prediction model after CT/MRI combined with radiotherapy,and(3)CT/MRI combined with US+FNAC.We compared their diagnostic performance using ROC curves.Results A total of 141(52％)malignant and 128(48％)benign lymph nodes were observed.In terms of diagnostic accuracy,combined CT/MRI and US+FNAC had the highest area under the ROC curve(0.965),followed by combined CT/MRI and US prediction model after radiotherapy(0.906)and CT/MRI alone(0.836).Condusion In evaluating LAP in patients with head and neck cancer undergoing radiation therapy,the addition of US examination to CT/MRI has higher diagnostic performance than CT/MRI alone in diagnosing recurrent or persistent nodule disease.
关键词
淋巴结病/超声/细针吸取细胞学/计算机断层扫描/磁共振成像Key words
Lymphadenopathy/Ultrasound/Fine Needle Aspiration Cytology/Computed Tomography/Magnetic Resonance imaging引用本文复制引用
基金项目
山东省医药卫生科技发展计划项目(2019WS103)
出版年
2024
NETL
NSTL
万方数据