高光谱成像在头颈部肿瘤诊疗中的应用现状  

Current application status of hyperspectral imaging in the diagnosis and treatment of head and necktumor

作　　者：陈琦[1] 徐晨阳 王寅 雷大鹏[1] Chen Qi;Xu Chenyang;Wang Yin;Lei Dapeng(Department of Otorhinolaryngology,Qilu Hospital of Shandong University,National Health Commission Key Laboratory of Otorhinolaryngology(Shandong University),Jinan 250012,China)

机构地区：[1]山东大学齐鲁医院耳鼻咽喉科,国家卫生健康委员会耳鼻喉科学重点实验室,济南250012

出　　处：《国际肿瘤学杂志》2024年第5期298-302,共5页Journal of International Oncology

基　　金：国家自然科学基金(82071918)。

摘　　要：头颈部肿瘤是一种常见的恶性肿瘤,其发病率和死亡率在全球范围内均呈上升趋势。传统的头颈部肿瘤诊断方法受制于缺乏特异性的生物标志物和侵入性检测方法的局限性,存在时间成本和误诊率偏高等问题,因此需要开展基于新技术的头颈部肿瘤诊断研究。高光谱成像(HSI)是一种非接触式光学成像方式,通过在数个光谱波段获取一系列图像,从而产生一个高光谱图像立方体。HSI在头颈部肿瘤早期诊断、癌缘识别、临床研究等方面展现了其相应的潜力。Head and neck tumor is a common malignant tumor with increasing incidence and mortality worldwide.Traditional diagnostic methods for head and neck tumor are limited by the lack of specific biomarkers and the limitation of invasive detection methods,as well as high time cost and a high rate of misdiagnosis.Therefore,research on head and neck tumor diagnosis based on new technologies is needed.Hyperspectral imaging(HSI)is a non-contact optical imaging technique that captures a series of images in multiple spectral bands to generate a hyperspectral image cube.HSI has shown its corresponding potential in the early diagnosis,tumor margin identification and clinical research of head and neck cancer.

关 键 词：头颈部肿瘤 高光谱成像 临床诊断 机器学习 深度学习 

分 类 号：R739.91[医药卫生—肿瘤]