Evidence map›Paper›PMID 33197281›Full record

ArticleThe Journal of pathology2021

Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies.

Yijiang Chen, Jarcy Zee, Abigail Smith, Catherine Jayapandian, Jeffrey Hodgin, David Howell, Matthew Palmer, David Thomas, Clarissa Cassol, Alton B Farris and 4 more

Abstract read
In one paragraph

Article in The Journal of pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  19. Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments.Transplant international : official journal of the European Society for Organ Transplantation · 2023
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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

14 authors.

Yijiang ChenDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.ORCID 0000-0002-3224-4339
Jarcy ZeeArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Abigail SmithArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Catherine JayapandianDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Jeffrey HodginDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
David HowellDepartment of Pathology, Duke University, Durham, NC, USA.
Matthew PalmerDepartment of Pathology, University of Pennsylvania, Philadelphia, PA, USA.
David ThomasDepartment of Pathology, Duke University, Durham, NC, USA.
Clarissa CassolRenal Pathology Division, Arkana Laboratories, Little Rock, AK, USA.
Alton B FarrisDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA.
Kathryn PerkinsonDepartment of Pathology, Duke University, Durham, NC, USA.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Laura BarisoniDepartment of Pathology, Duke University, Durham, NC, USA.
Andrew JanowczykDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2009 to 2023
$20.3M
Computational Pathology of Proteinuric DiseasesR01DK118431 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BARISONI, LAURA MARIACHIARA, HODGIN, JEFFREY BENTON · 2018 to 2025
$3.6M
Computer-Assisted Histologic Evaluation of Cardiac Allograft RejectionR01HL151277 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MADABHUSHI, ANANT, MARGULIES, KENNETH BER · 2020 to 2023
$3.2M
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1M
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
CWRU NEPHROLOGY TRAINING PROGRAMT32DK007470 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI SEDOR, JOHN R. · 1986 to 2019
$2.9M
Pathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9M
RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identificationU01CA239055 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI JANOWCZYK, ANDREW ROBERT, MADABHUSHI, ANANT · 2019 to 2022
$1.0M
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear SlidesR43EB028736 · NIBIB · DIASCOPIC, LLC · PI MADABHUSHI, ANANT, SERIF, CARY · 2019 to 2019
$225k
BLRD VA I01 BX004121BLRD VA IK6 BX006185National Institute for Biomedical Imaging and Bioengineering 1R43EB028736-01NCI NIH HHS 1U01 CA239055-01NCI NIH HHS 1U01 CA248226-01NCI NIH HHS 1U24CA199374-01NCI NIH HHS R01 CA202752NCI NIH HHS R01CA202752-01A1NCI NIH HHS R01 CA208236NCI NIH HHS R01CA208236-01A1NCI NIH HHS R01 CA216579NCI NIH HHS R01 CA216579-01A1NCI NIH HHS R01 CA220581NCI NIH HHS R01 CA220581-01A1NCI NIH HHS U01 CA239055NCI NIH HHS U01 CA248226NCI NIH HHS U24 CA199374NCRR NIH HHS 1 C06 RR12463-01NCRR NIH HHS C06 RR012463Neptune Career Development Award 5T32DK747033NHLBI NIH HHS R01 HL151277NIBIB NIH HHS R43 EB028736NIDDK NIH HHS R01-DK-118431.NIDDK NIH HHS T32 DK007470NIDDK NIH HHS U54 DK083912
6 · The paper itself

Abstract

Inconsistencies in the preparation of histology slides and whole-slide images (WSIs) may lead to challenges with subsequent image analysis and machine learning approaches for interrogating the WSI. These variabilities are especially pronounced in multicenter cohorts, where batch effects (i.e. systematic technical artifacts unrelated to biological variability) may introduce biases to machine learning algorithms. To date, manual quality control (QC) has been the de facto standard for dataset curation, but remains highly subjective and is too laborious in light of the increasing scale of tissue slide digitization efforts. This study aimed to evaluate a computer-aided QC pipeline for facilitating a reproducible QC process of WSI datasets. An open source tool, HistoQC, was employed to identify image artifacts and compute quantitative metrics describing visual attributes of WSIs to the Nephrotic Syndrome Study Network (NEPTUNE) digital pathology repository. A comparison in inter-reader concordance between HistoQC aided and unaided curation was performed to quantify improvements in curation reproducibility. HistoQC metrics were additionally employed to quantify the presence of batch effects within NEPTUNE WSIs. Of the 1814 WSIs (458 H&E, 470 PAS, 438 silver, 448 trichrome) from n = 512 cases considered in this study, approximately 9% (163) were identified as unsuitable for subsequent computational analysis. The concordance in the identification of these WSIs among computational pathologists rose from moderate (Gwet's AC1 range 0.43 to 0.59 across stains) to excellent (Gwet's AC1 range 0.79 to 0.93 across stains) agreement when aided by HistoQC. Furthermore, statistically significant batch effects (p < 0.001) in the NEPTUNE WSI dataset were discovered. Taken together, our findings strongly suggest that quantitative QC is a necessary step in the curation of digital pathology cohorts. © 2020 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Indexed as

Quality ControlAlgorithmsBiopsyHumansImage Interpretation, Computer-AssistedKidney DiseasesPathology, Surgicalbatch effectscomputational pathologycomputer visiondigital pathologyinter-reader variabilitykidney biopsiesmachine learningNEPTUNEquality controlwhole-slide image

Identifiers

PMID33197281
PMCPMC8392148

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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.