Evidence map›Paper›PMID 30197818›Full record

ArticleJournal of pathology informatics2018

Conventional Microscopical versus Digital Whole-Slide Imaging-Based Diagnosis of Thin-Layer Cervical Specimens: A Validation Study.

Odille Bongaerts, Carla Clevers, Marij Debets, Daniëlle Paffen, Lisanne Senden, Kim Rijks, Linda Ruiten, Daisy Sie-Go, Paul J van Diest, Marius Nap

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Current and future direction in treatment of HPV-related cervical disease.Journal of molecular medicine (Berlin, Germany) · 2022
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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

10 authors.

Odille BongaertsDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Carla CleversDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Marij DebetsDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Daniëlle PaffenDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Lisanne SendenDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Kim RijksDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Linda RuitenDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Daisy Sie-GoDepartment of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
Paul J van DiestDepartment of Pathology, Zuyderland Hospital, Heerlen, The Netherlands.
Marius NapNap Pathology Consultance bv, Numansdorp, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-slide imaging (WSI) has been implemented in many areas of pathology, but primary diagnostics of cytological specimens are lagging behind. One of the objectives of viewing scanned whole-slide images from histological or cytological specimens is remote exchange of knowledge and expertise of professionals to increase diagnostic accuracy. We compared the scoring results of our team obtained in double readings of two different data sets: conventional light microscopy (CLM) versus CLM and CLM versus WSI. We hypothesized that WSI is noninferior to CLM for primary diagnostics of thin-layer cervical slides. MATERIALS AND

methodsFirst, we determined the concordance rate at different thresholds of the participating cytotechnicians by double reading with CLM of 500 thin-layer cervical slides (Cohort 1). Next, CLM was compared with WSI examination of another 505 thin-layer cervical slides (Cohort 2) scanned at ×20 in single focus plane. Finally, all major discordant cases of Cohort 1 were evaluated by an external expert in the field of gynecological cytology and of Cohort 2 in the weekly case meetings.

resultsThe overall concordance rate of Cohort 1 (CLM vs. CLM) was 97.8% (95% confidence interval [CI]: 96.0%-98.7%) and of Cohort 2 was 95.3% (95% CI: 93.0%-96.9%).

conclusionConcordance rates of WSI versus CLM were comparable with those of CLM versus CLM. We have made a step forward paving the road to implementation of WSI also in routine diagnostic cytology.

Indexed as

Cervical cytologycytologydigital pathologyvalidation studywhole-slide imaging

Identifiers

PMID30197818
PMCPMC6120269

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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.