Literature DB >> 27448051

Narrow-band imaging vs. high definition white light for optical diagnosis of small colorectal polyps: a randomized multicenter trial.

Peter Klare1, Bernhard Haller2, Sandra Wormbt1, Ellen Nötzel3, Dirk Hartmann3, Jörg Albert4, Johannes Hausmann4, Henrik Einwächter1, Andreas Weber1, Mohamed Abdelhafez1, Roland M Schmid1, Stefan von Delius1.   

Abstract

BACKGROUND AND STUDY AIM: The aim of the study was to compare the latest narrow-band imaging (NBI) device with high-definition white light (HDWL) endoscopy for accuracy of real-time optical diagnosis of small colorectal polyps. PATIENTS AND METHODS: We conducted a randomized, prospective, multicenter trial at three study sites in Germany. In the NBI arm, endoscopists used NBI for the prediction of polyp pathology on the basis of the NBI International Colorectal Endoscopic classification. In the HDWL arm, NBI was not used for optical classification of polyp histology. The primary outcome was accuracy of optical diagnoses (neoplastic vs. non-neoplastic) in small polyps measuring < 10 mm. Secondary end points included sensitivity and negative predictive value (NPV).
RESULTS: A total of 380 patients were randomized 1:1 to either the NBI or HDWL arm. A total of 421 polyps measuring < 10 mm were detected (55.8 % neoplastic, 44.2 % non-neoplastic). Accuracy, sensitivity, and NPV were 73.7 %, 82.4 %, and 75.5 %, respectively, in the NBI arm and 79.2 %, 79.8 %, and 73.4 %, respectively, in the HDWL arm (P = 0.225, P = 0.667, P = 0.765). More polyps were assessed with high confidence in the HDWL arm (82.6 %) than in the NBI arm (73.7 %; P = 0.038). The NPV of the prediction of neoplastic histology in diminutive polyps (≤ 5 mm) rated with high confidence was 90.3 % in the NBI arm. We detected significant differences between the participating study sites in the performance data of predictions.
CONCLUSION: The levels of accuracy for real-time prediction of polyp histology (< 10 mm) did not differ between NBI and HDWL for optical diagnosis. Variation in the performance of optical diagnosis was apparent between study centers. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02009774). © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2016        PMID: 27448051     DOI: 10.1055/s-0042-110650

Source DB:  PubMed          Journal:  Endoscopy        ISSN: 0013-726X            Impact factor:   10.093


  3 in total

Review 1.  Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications.

Authors:  James Weiquan Li; Lai Mun Wang; Tiing Leong Ang
Journal:  Singapore Med J       Date:  2022-03       Impact factor: 3.331

2.  Real-Time Optical Diagnosis of Colorectal Polyps in the Routine Clinical Practice Using the NICE and WASP Classifications in a Nonacademic Setting.

Authors:  Joana Castela; Susana Mão de Ferro; Isadora Rosa; Pedro Lage; Sara Ferreira; João Pereira Silva; João Cortez Pinto; Rita Vale Rodrigues; Joana Moleiro; Isabel Claro; Susana Esteves; António Dias Pereira
Journal:  GE Port J Gastroenterol       Date:  2019-01-10

3.  Leaving colorectal polyps in place can be achieved with high accuracy using blue light imaging (BLI).

Authors:  Helmut Neumann; Helmut Neumann Sen; Michael Vieth; Raf Bisschops; Florian Thieringer; Khan F Rahman; Thomas Gamstätter; Gian Eugenio Tontini; Peter R Galle
Journal:  United European Gastroenterol J       Date:  2018-05-17       Impact factor: 4.623

  3 in total

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