Evidence map›Paper›PMID 30662792›Full record

ArticleJournal of pathology informatics2018

The Importance of eSlide Macro Images for Primary Diagnosis with Whole Slide Imaging.

Filippo Fraggetta, Yukako Yagi, Marcial Garcia-Rojo, Andrew J Evans, J Mark Tuthill, Alexi Baidoshvili, Douglas J Hartman, Junya Fukuoka, Liron Pantanowitz

Open access · goldAbstract 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 8% 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Review
  4. Article
  5. Quality Management System in Clinical Digital Pathology Operations at a Tertiary Cancer Center.Laboratory investigation; a journal of technical methods and pathology · 2023
    Article
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  15. Clinical-grade Computational Pathology: Alea Iacta Est.Journal of pathology informatics · 2019
    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

9 authors at 7 institutions in 5 countries.

Filippo FraggettaDepartment of Pathology, Cannizzaro Hospital, Catania, Italy.
Yukako YagiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA.
Marcial Garcia-RojoDepartment of Pathology, Hospital Universitario Puerta del Mar, Cádiz, Spain.
Andrew J EvansDepartment of Pathology, University Health Network, Toronto, Canada.
J Mark TuthillDepartment of Pathology, Henry Ford Health System, Detroit, Michigan, USA.
Alexi BaidoshviliLaboratory for Pathology East Netherlands, The Netherlands.
Douglas J HartmanDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Junya FukuokaDepartment of Pathology, Nagasaki University Hospital, Nagasaki, Japan.
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh Medical Center · USHenry Ford Health System · USHospital Universitario Puerta del Mar · ESMemorial Sloan Kettering Cancer Center · USNagasaki University Hospital · JPOspedale Cannizzaro · ITUniversity Health Network · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionA whole slide image (WSI) is typically comprised of a macro image (low-power snapshot of the entire glass slide) and stacked tiles in a pyramid structure (with the lowest resolution thumbnail at the top). The macro image shows the label and all pieces of tissue on the slide. Many whole slide scanner vendors do not readily show the macro overview to pathologists. We demonstrate that failure to do so may result in a serious misdiagnosis. MATERIALS AND

methodsVarious examples of errors were accumulated that occurred during the digitization of glass slides where the virtual slide differed from the macro image of the original glass slide. Such examples were retrieved from pathology laboratories using different types of scanners in the USA, Canada, Europe, and Asia.

resultsThe reasons for image errors were categorized into technical problems (e.g., automatic tissue finder failure, image mismatches, and poor scan coverage) and human operator mistakes (e.g., improper manual region of interest selection). These errors were all detected because they were highlighted in the macro image.

conclusionOur experience indicates that WSI can be subject to inadvertent errors related to glitches in scanning slides, corrupt images, or mistakes made by humans when scanning slides. Displaying the macro image that accompanies WSIs is critical from a quality control perspective in digital pathology practice as this can help detect these serious image-related problems and avoid compromised diagnoses.

Indexed as

Digital pathologyerrorinformaticsmacro imagethumbnailwhole slide imaging

Identifiers

PMID30662792
PMCPMC6319037
OpenAlexW2906465680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.