Evidence map›Paper›PMID 22609383›Full record

ArticleGastroenterology2012

Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging.

David G Hewett, Tonya Kaltenbach, Yasushi Sano, Shinji Tanaka, Brian P Saunders, Thierry Ponchon, Roy Soetikno, Douglas K Rex

13 registry-linked trialsOpen access · bronzeAbstract readMulticenter StudyValidation StudyVideo-Audio Media
PubMed Publisher
In one paragraph

Article in Gastroenterology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 13 registered trials, which are not on this map. Cited by 220 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 4 pooled it
15.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02263144 unknown statusnot on this mapstarted 2014, after this paper: background citation

Resect and Discard Extension to Fuji Intelligent Color Enhancement (FICE) of Narrow Band Imaging International Colorectal Endoscopic (NicE) Classification

TypeobservationalSponsorIstituto Clinico HumanitasRan2014 to 2014Enrolled110ConditionsHyperplastic Polyps, Adenomatous PolypsArmsvirtual chromo-endoscopy using FICE Fujifilm Technology
NCT02516748 completednot on this mapstarted 2015, after this paper: background citation

Prospective Study of Real-time Diagnosis of Colorectal Polyps Using Narrow-Band Imaging: Gangnam-ReaDi Study

TypeobservationalSponsorSeoul National University HospitalRan2015 to 2016Enrolled3,268ConditionsColon PolypsArmsFeedback
NCT02522702 unknown statusnot on this mapstarted 2015, after this paper: background citation

Computer Assisted Optical Assessment of Small Colorectal Polyps

TypeobservationalSponsorTechnical University of MunichRan2015 to 2017Enrolled250ConditionsColonic PolypsArmsPhotography of polyps, resection of polyps
NCT02963207 nacompletednot on this mapstarted 2013, after this paper: background citation

Prospective Randomised Study Comparing Modified Sano's (MS) Classification and NBI International Colorectal Endoscopic (NICE) for Differentiating Colorectal Lesions

TypeinterventionalSponsorLyell McEwin HospitalRan2013 to 2015Enrolled348ConditionsColorectal Neoplasms, Colorectal PolypArmsModified Sano's classification, NICE classification
NCT03155308 completednot on this mapstarted 2017, after this paper: background citation

Validation of the NICE Classification Using Pentax Chromoendoscopy (I-scan and Optical Enhancement System

TypeobservationalSponsorInstituto Ecuatoriano de Enfermedades DigestivasRan2017 to 2018Enrolled95ConditionsColorectal PolypArmsPentax chromoendoscopy (i-scan and Optical Enhancement)
NCT03421600 nacompletednot on this mapstarted 2017, after this paper: background citation

A Prospective Randomized Study of Colonoscopy Using Blue Laser Imaging and White Light Imaging in the Detection and Differentiation of Colonic Polyps

TypeinterventionalSponsorChangi General HospitalRan2017 to 2019Enrolled184ConditionsColonic Adenoma, ColonoscopyArmsblue laser imaging, White light imaging
NCT03569124 unknown statusnot on this mapstarted 2024, after this paper: background citation

Interpretation of Endoscopic Characteristics of Colorectal Polyps With Blue Light Imaging

TypeobservationalSponsorMidwest Biomedical ResearchRan2024 to 2025Enrolled30ConditionsIdentification of Colorectal PolypsArmsTeaching tool for identification of colorectal polyps
NCT03601065 unknown statusnot on this mapstarted 2018, after this paper: background citation

Computer Assisted Detection & Selection of Serrated Adenomas and Neoplastic Polyps - a New Clinical DRAft

TypeobservationalSponsorTechnical University of MunichRan2018 to 2019Enrolled250ConditionsColonic PolypsArmsVideos of polyps, resection of polyps
NCT03712059 completednot on this mapstarted 2018, after this paper: background citation

National Colorectal Polyp Care for Diagnosis, Classification and Resection

TypeobservationalSponsorChanghai HospitalRan2018 to 2020Enrolled12,000ConditionsColorectal PolypArmsFIT test and colonoscopy, Polypectomy and biopsy, Classification
NCT03843567 naunknown statusnot on this mapstarted 2019, after this paper: background citation

A Randomised Controlled Trial of the Prediction of Diminutive/Small Polyp Histology: a Comparison Between Didactic Training Versus Self-directed Computer Based Training

TypeinterventionalSponsorUniversity of BirminghamRan2019 to 2019Enrolled160ConditionsColorectal PolypArmsEndoscopic characterisation training
NCT04909671 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Evaluation of ArTificial Intelligence System (Gi-Genius) for adenoMa dEtection in Lynch Syndrome. A Randomized, Parallel, Multicenter, Controlled Trial. TIMELY Study.

TypeinterventionalSponsorHospital Clinic of BarcelonaRan2021 to 2023Enrolled404ConditionsLynch SyndromeArmsGi Genius, Medtronic, White light standart colonoscopy
NCT04977401 naterminatednot on this mapstarted 2021, after this paper: background citation

EndoscoPic Submucosal dIssection Using geL Versus glycerOl for Submucosal iNjection: a Randomized Controlled Multicentric Trial (EPSILON)

TypeinterventionalSponsorErasme University HospitalRan2021 to 2023Enrolled32ConditionsEarly Gastric Cancer, Rectal PolypArmsEndoscopic submucosal dissection, use of Orise Gel as lifting agent for endoscopic submucosal dissection, use of glycerol as lifting agent for endoscopic submucosal dissection
NCT05034185 completednot on this mapstarted 2021, after this paper: background citation

Real-World Validation of an Artificial Intelligence Characterization Support (CADx) System for Prediction of Polyp Histology in Colonoscopy: A Prospective Multicentre Study

TypeobservationalSponsorChangi General HospitalRan2021 to 2022Enrolled450ConditionsColonic Polyp, Colonic Neoplasms, Colonic DysplasiaArmsComputer-aided diagnosis (CADx) support tool
3 · Its place in the literature

Who cites it

220 citing papers in PubMed, 4 syntheses or guidelines pooled it, 577 citations in OpenAlex.

  1. Pooled it
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  3. Guideline
  4. Pooled it
  5. Trial
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  13. The role of narrow band imaging in colorectal polyp detection.Bosnian journal of basic medical sciences · 2017
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  17. Diagnostic performance and limitations of magnifying narrow-band imaging in screening endoscopy of early gastric cancer: a prospective multicenter feasibility study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2014
    Trial
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160 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 5 countries.

David G HewettIndiana University School of Medicine, Indianapolis, Indiana; The University of Queensland School of Medicine, Brisbane, Australia.
Tonya KaltenbachVeterans Affairs Palo Alto Health Care System, Palo Alto, California; Stanford University School of Medicine, Stanford, California.
Yasushi SanoSano Hospital, Kobe, Japan.
Shinji TanakaHiroshima University, Hiroshima, Japan.
Brian P SaundersWolfson Unit for Endoscopy and Imperial College London, St. Marks Hospital, London, United Kingdom.
Thierry PonchonHôpital Edouard-Herriot, Lyon, France.
Roy SoetiknoVeterans Affairs Palo Alto Health Care System, Palo Alto, California; Stanford University School of Medicine, Stanford, California.
Douglas K RexIndiana University School of Medicine, Indianapolis, Indiana. Electronic address: drex@iupui.edu.
Stanford University · USHiroshima University · JPHôpital Edouard Herriot · FRImperial College London · GBIndiana University – Purdue University Indianapolis · USIndiana University School of Medicine

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsAlmost all colorectal polyps ≤ 5 mm are benign, yet current practice requires costly pathologic analysis. We aimed to develop and evaluate the validity of a simple narrow-band imaging (NBI)-based classification system for differentiating hyperplastic from adenomatous polyps.

methodsThe study was conducted in 4 phases: (1) evaluation of accuracy and reliability of histologic prediction by NBI-experienced colonoscopists; (2) development of a classification based on color, vessels, and surface pattern criteria, using a modified Delphi method; (3) validation of the component criteria by people not experienced in endoscopy or NBI analysis (25 medical students, 19 gastroenterology fellows) using 118 high-definition colorectal polyp images of known histology; and (4) validation of the classification system by NBI-trained gastroenterology fellows, using still images. We performed a pilot evaluation during real-time colonoscopy.

resultsWe developed a classification system for the endoscopic diagnosis of colorectal polyp histology and established its predictive validity. When all 3 criteria were used, the specificity ranged from 94.9% to 100% and the combined sensitivity ranged from 8.5% to 61.0%. The specificities of the individual criteria were lower although the sensitivities were higher. During real-time colonoscopy, endoscopists made diagnoses with high confidence for 75% of consecutive small colorectal polyps, with 89% accuracy, 98% sensitivity, and 95% negative predictive values.

conclusionsWe developed and established the validity of an NBI classification system that can be used to diagnose colorectal polyps. In preliminary real-time evaluation, the system allowed endoscopic diagnoses of colorectal polyp histology.

Indexed as

Terminology as TopicAdenomatous PolypsClinical CompetenceColonic PolypsColonoscopyColorectal NeoplasmsDelphi TechniqueDiagnosis, DifferentialFellowships and ScholarshipsHumansHyperplasiaObserver VariationPilot ProjectsPolypsPredictive Value of TestsProspective Studies

Identifiers

PMID22609383
OpenAlexW2044297386

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.