Improving tissue characterization, differentiation and diagnosis in gynecology with the narrow‑band imaging technique: A systematic review

Panagiotis Peitsidis, Nikolaos Vrachnis, Stavros Sifakis, Christos Katsetos, Panagiotis Tsikouras, Nikolaos Antonakopoulos, Evaggelos Alexopoulos, Konstantinos Kalmantis
Experimental and therapeutic medicine · 2021 · vol. 23(1) , pp. 36 · doi:10.3892/etm.2021.10958 · PMID:34849151 · W3214328447
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This systematic review of 31 gynecological endoscopy studies found that narrow-band imaging enhances lesion detection accuracy, sensitivity, and specificity in hysteroscopy, laparoscopy, and colposcopy compared to conventional white light.

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Abstract

Narrow-band imaging (NBI), an on-demand, real-time endoscopic imaging technique, was developed to enhance visualization of the mucosal vascular network and surface texture. The present article provides a systematic review of studies that assessed the use of NBI in gynecological endoscopy. The following electronic databases were searched: PubMed (1950-2020), Google Scholar (2004-2020) and Cochrane Library (2010-2020). In the initial search, 3,836 entries were identified, of which 31 were finally included in the systematic review. Of the selected studies, 10 (32%) were case reports, 19 (61.2%) were prospective studies and 2 (6.4%) were randomized controlled trials with control groups. The selected studies reported on the use of NBI in hysteroscopy, laparoscopy and colposcopy. It was revealed that NBI utilization in hysteroscopy increased the accuracy, sensitivity and specificity in detecting malignant and premalignant lesions. NBI improved the specificity and sensitivity in the detection of endometriotic lesions and cervical lesions. Conventional white light endoscopy in gynecology may be significantly improved by the use of NBI. Further studies with larger cohorts and improved design are required to achieve more reliable results. It is of special interest that utilization of this method requires apparatus which is expensive; concerns are the long training and experience of staff required and the long learning curve.

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