摘要
在癌症死亡原因中肺癌已是首要原因。肺癌的多模态医学影像学诊断有赖于X线平片、CT、PET/CT、MRI、超声的效能。X线平片是肺癌诊断中最基本的检查,但因其空间分辨率差、影像重叠等不足在临床上受到很大的限制。CT扫描是早期肺癌诊断最可靠、最重要的检查方法之一。PET/CT被视为目前肺癌检出最为理想的功能分子显像方法,主要用于肺癌原发病灶的评估、治疗计划的设计、预后预测、疗效评价、复发转移预测。MRI用于肺部病变评估尽管其效能尚不确定,但在肺部病灶的各方面评估效能上却展示出巨大潜力。支气管内超声可用于指导肺外周病灶经支气管肺活检,或指导肺门纵隔淋巴结、肿块进行气道内超声引导下针吸活检。随着对肺癌研究的不断深入,多模态医学影像学征象与细胞因子免疫组化表现的相关性分析已成为研究热点。本文就肺癌的多模态医学影像学诊断的现状与进展作一简要介绍,以期对肺癌的早诊早治提供有益的帮助。
Lung cancer is the leading cause of cancer death.The lung cancer diagnosis by the Multimodality Medical Imaging depends on the efficacy of X-ray,CT,PET/CT,MRI and US.X-ray plain film is the basic examination.However,it can＇t be widely used in practice due to its poor spatial resolution and image overlap.CT scan is one of the most important methods for the early diagnosis of lung cancer,and it is reliability.PET/CT,a molecular function imaging,is regarded as the most ideal diagnosis methods for lung cancer at present,mainly used for the assessment of preliminary lesions,evaluation of treatment efficacy,designing of treatment plan,prognosis the recurrence and metastasis of lung cancer.For the assessment of pulmonary lesions,despite of MRI＇s effectiveness is uncertain,but the great potential evaluation efficacy on all aspects of lung lesions has been shown.Endobronchial ultrasound can be used to guide the transbronchial lung biopsy in peripheral lung lesions,or guide the hilar and mediastinal lymph nodes or masses of fine-needle aspiration with endobronchial ultrasound.The studies for the relationship between the characteristic features of Multimodality Medical Imaging with the cell factors immunohistochemistry have become a hot research spot.In this paper,the current status and progress of Multimodality Medical Imaging for the diagnosis of lung cancer are briefly introduced,in order to provide useful help for the early diagnosis and treatment of lung cancer.
出处
《川北医学院学报》
CAS
2017年第5期806-810,共5页
Journal of North Sichuan Medical College
基金
2014年南充市应用技术研究与开发资金项目(14A0041)
关键词
肺癌
多模态
医学影像学
诊断
细胞因子
Lung cancer
Multimodality
Medical imaging
Diagnosis
Cell factor
