Evaluation of the combined use of narrow band imaging and high-speed imaging to discriminate laryngeal lesions.

Abstract:

BACKGROUND AND OBJECTIVE:Laryngeal lesions are usually investigated by microlaryngoscopy, biopsy, and histopathology. This study aimed to evaluate the combined use of Narrow Band Imaging (NBI) and High-Speed Imaging (HSI) in the differentiation of glottic lesions in awake patients. STUDY DESIGN:Prospective diagnostic study. MATERIALS AND METHODS:Thirty-six awake patients with 41 glottic lesions were investigated with both NBI and HSI, and the suspected diagnoses were compared to the histopathological results of tissue biopsies taken during subsequent microlaryngoscopies. Of the 41 lesions, 28 were primary lesions and 13 recurrent lesions after previous laryngeal pathologies. RESULTS:Sensitivity, specificity, positive predictive value, and negative predictive value in the differentiation between benign/premalignant and malignant lesions with both NBI and HSI accounted to 100.0%, 79.4%, 50.0%, and 100.0%. Sensitivities and specificities were 100.0% and 85.7% for HSI alone, and 100.0% and 79.4% for NBI alone. Regarding only primary lesions the results were generally better with sensitivities and specificities of 100% and 81% for NBI, 100% and 84.2% for HSI and 100% and 85.7% for the combination of both methods, respectively. CONCLUSION:NBI and HSI both seem to be promising adjunct tools in the differentiation of various laryngeal lesions in awake patients with high sensitivities. Specificities, however, were moderate but could be increased when using NBI and HSI in combination in a subgroup of patients with only primary lesions. Although both methods still have limitations they might ameliorate the evaluation of suspicious laryngeal lesions in the future and could possibly spare patients from repeated invasive tissue biopsies. Lasers Surg. Med. 49:609-618, 2017. © 2017 Wiley Periodicals, Inc.

journal_name

Lasers Surg Med

authors

Volgger V,Felicio A,Lohscheller J,Englhard AS,Al-Muzaini H,Betz CS,Schuster ME

doi

10.1002/lsm.22652

subject

Has Abstract

pub_date

2017-08-01 00:00:00

pages

609-618

issue

6

eissn

0196-8092

issn

1096-9101

journal_volume

49

pub_type

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