Literature DB >> 30281534

Blue laser imaging: a new image-enhanced endoscopy for the diagnosis of colorectal lesions.

Carlos E O Dos Santos1, Daniele Malaman1, Naohisa Yoshida2, Júlio C Pereira-Lima3, Fernanda Q Onófrio3, Rafaelle G Furlan1, Fernando I Tabushi4, Osvaldo Malafaia4.   

Abstract

BACKGROUND: Image-enhanced endoscopy enables real-time differential diagnosis of colorectal lesions through the observation of microvascular architecture.
PURPOSE: To evaluate the efficacy of using blue laser imaging (BLI) for capillary pattern analysis in the differential diagnosis of neoplastic and non-neoplastic lesions. PATIENTS AND METHODS: This prospective study included 920 consecutive superficial lesions diagnosed in 457 patients. The capillary pattern was analysed using BLI-bright magnification on the basis of the Teixeira classification. Histopathology was used as the reference standard.
RESULTS: The adenoma detection rate was 42.3%, with a mean of 0.95 adenomas per patient. Neoplastic lesions were predominant (70.3%), of which 33 (5.1%) had advanced histology. Neoplastic progression was significantly increased in patients aged at least 50 years, in lesions at least 10 mm and in lesions located in the right colon (P<0.01). BLI-based capillary pattern analysis showed 95.5% accuracy, 95.7% sensitivity, 95.2% specificity, 97.9% positive predictive value and 90.3% negative predictive value in the diagnosis of neoplastic lesions. For 672 diminutive lesions (≤5 mm), BLI-based capillary pattern analysis showed 95.7% accuracy, 96.6% sensitivity, 93.6% specificity, 97.2% positive predictive value and 92.2% negative predictive value. Analysing only lesions up to 5 mm in the rectum and sigmoid colon, the values were 95.2, 93.9, 96.5, 95.8 and 94.8%, respectively.
CONCLUSION: BLI associated with magnification yielded excellent results for the real-time predictive histological diagnosis of colorectal lesions.

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Mesh:

Year:  2018        PMID: 30281534     DOI: 10.1097/MEG.0000000000001278

Source DB:  PubMed          Journal:  Eur J Gastroenterol Hepatol        ISSN: 0954-691X            Impact factor:   2.566


  2 in total

Review 1.  Artificial Intelligence in Endoscopy.

Authors:  Alexander Hann; Alexander Meining
Journal:  Visc Med       Date:  2021-11-01

2.  The Efficacy of Tumor Characterization for Colorectal Lesions with Blue Light Imaging of a Compact Light-Emitting Diode Endoscopic System Compared to a Laser Endoscopic System: A Pilot Study.

Authors:  Ken Inoue; Naohisa Yoshida; Reo Kobayashi; Yuri Tomita; Hikaru Hashimoto; Satoshi Sugino; Ryohei Hirose; Osamu Dohi; Hiroaki Yasuda; Ritsu Yasuda; Takaaki Murakami; Yutaka Inada; Yoshito Itoh
Journal:  Gastroenterol Res Pract       Date:  2022-04-12       Impact factor: 1.919

  2 in total

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