A narrative review: narrow-band imaging endoscopic classifications

Quantitative Imaging in Medicine and Surgery

article

Qingya Yang¹  Zhimei Liu²  Hui Sun¹  Fangdong Jiao¹  Bing Zhang¹  Jun Chen³ 

[1] Department of Urology, Qilu Hospital ,(Qingdao), Cheeloo College of Medicine , Shandong University;Department of Clinical Medicine, Qingdao Medical College , Qingdao University;Department of Urology, Qilu Hospital, Cheeloo College of Medicine , Shandong University

关键词: Narrow-band imaging (NBI);    classifications;    cancer;    endoscopy;    diagnosis;   

DOI  :  10.21037/qims-22-728

学科分类：外科医学

来源: AME Publications

【 摘 要 】

Background and Objective: With the development of endoscopic techniques, narrow-band imaging (NBI) has been widely used in the diagnosis of various types of diseases. NBI can detect mucosal lesions at an early stage and different classification strategies have been established to help clinicians in disease diagnosis. However, there is currently no consensus for the classification criteria. This report summarizes the current classifications of diseases using NBI, so as to provide a comprehensive understanding of the various manifestations of mucosal lesions under NBI, and to promote the development of more practical NBI classifications. Methods: The PubMed database was searched for English language articles published between January 1994 and November 2021 using the keywords ‘narrow band imaging’, ‘NBI’, and ‘classification’. Key Content and Findings: We systematically summarized the NBI classifications and manifestations of different diseases. The morphology of the mucosa and vessels was used as the basis of most classifications. These classifications are mainly helpful to distinguish benign and malignant tumors and to detect early neoplastic lesions. Conclusions: This review summarized existing NBI classifications for different systems. These classifications will be updated as the understanding of diseases increases and new optical techniques become available to better assist doctors in making clinical decisions.

【 授权许可】

All Rights reserved