Evidence map›Paper›PMID 34316371›Full record

ArticleGastroenterology report2021

Development of a narrow-band imaging classification to reduce the need for routine biopsies of gastric polyps.

Ivor B Asztalos, Caitlin A Colling, Anna M Buchner, Vinay Chandrasekhara

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Article in Gastroenterology report, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Ivor B AsztalosDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Caitlin A CollingDepartment of Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Anna M BuchnerDivision of Gastroenterology and Hepatology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Vinay ChandrasekharaDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0001-6209-9905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost incidental gastric polyps identified during upper endoscopy are considered low-risk. However, current guidelines recommend sampling all gastric polyps for histopathologic analysis. We aimed to devise a simple narrow-band imaging (NBI) classification to reduce the need for routine biopsies of low-risk gastric polyps.

methodsPairs of NBI and white-light images were collected from 73 gastric polyps for which concurrent histopathologic diagnosis was available. A diagnostic accuracy cohort study was performed. Two blinded endoscopists independently analysed NBI features of each polyp for color, vessel pattern, surface pattern, and any combinations thereof to develop a classification scheme to differentiate low-risk polyps (fundic-gland or hyperplastic) from high-risk polyps (adenomatous or adenocarcinoma) and fundic-gland polyps (FGPs) from non-FGPs.

resultsAn isolated lacy vessel pattern and a homogenous absence of surface pattern successfully differentiated low-risk from high-risk gastric polyps. Combining both descriptors into a single algorithm resulted in a negative predictive value (NPV) of 100% [95% confidence interval (CI): 100%-100%], positive predictive value (PPV) of 13.7% (95% CI: 2.6-24.8), sensitivity of 100% (95% CI: 100%-100%), and specificity of 53.7% (95% CI: 45.3%-62.0%) for high-risk polyps. This would reduce the number of polyps requiring biopsy by 50%, while still capturing all high-risk polyps. Regarding FGPs, using a rule not to biopsy polyps with isolated lacy vessels resulted in a 94.9% NPV (95% CI: 89.2%-100%), 63.2% PPV (95% CI: 47.2%-79.2%), 94.8% sensitivity (95% CI: 89.5%-100%), and 63.6% specificity (95% CI: 51.3%-76.0%) for non-FGPs.

conclusionIn this derivation cohort study, NBI is helpful for differentiating between high-risk and low-risk gastric polyps, thereby reducing the need for routine sampling of low-risk polyps. These results need to be validated in a separate test population.

Indexed as

endoscopygastric cancergastric polypsmalignancynarrow-band imaging

Identifiers

PMID34316371
PMCPMC8309680

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