Evidence map›Paper›PMID 34012706›Full record

ArticleJournal of pathology informatics2021

Implementation of Collodion Bag Protocol to Improve Whole-slide Imaging of Scant Gynecologic Curettage Specimens.

Iny Jhun, David Levy, Harumi Lim, Quintina Herrera, Erika Dobo, Dominique Burns, William Hetherington, Ronald Macasaet, April J Young, Christina S Kong and 2 more

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In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Iny JhunDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
David LevyDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Harumi LimDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Quintina HerreraDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Erika DoboDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Dominique BurnsDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
William HetheringtonDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Ronald MacasaetDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
April J YoungDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Christina S KongDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Ann K FolkinsDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
Eric Joon YangDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital pathology has been increasingly implemented for primary surgical pathology diagnosis. In our institution, digital pathology was recently deployed in the gynecologic (GYN) pathology practice. A notable challenge encountered in the digital evaluation of GYN specimens was high rates of scanning failure of specimens with fragmented as well as scant tissue. To improve tissue detection failure rates, we implemented a novel use of the collodion bag cell block preparation method. MATERIALS AND

methodsIn this study, we reviewed 108 endocervical curettage (ECC) specimens, representing specimens processed with and without the collodion bag cell block method (

resultsTissue detection failure rates were reduced from 77% (43/56) in noncollodion bag cases to 23/52 (44%) of collodion bag cases, representing a 42% reduction. The median total area of tissue detection failure per level was 0.35 mm

conclusionsThe collodion bag method significantly improved the digital image quality of fragmented/scant GYN curettage specimens, increased efficiency and accuracy of diagnostic evaluation, and enhanced identification of tissue contamination during processing. The logistical challenges and labor cost of deploying the collodion bag protocol are important considerations for feasibility assessment at an institutional level.

Indexed as

Collodion bagdigital pathologyendocervical curettagegynecologicwhole slide imaging

Identifiers

PMID34012706
PMCPMC8112341

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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.