Evidence map›Paper›PMID 34260720›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center.

Peter J Schüffler, Luke Geneslaw, D Vijay K Yarlagadda, Matthew G Hanna, Jennifer Samboy, Evangelos Stamelos, Chad Vanderbilt, John Philip, Marc-Henri Jean, Lorraine Corsale and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 77 citations in OpenAlex.

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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

32 authors at 2 institutions in 2 countries.

Peter J SchüfflerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-1353-8921
Luke GeneslawDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-6862-9102
D Vijay K YarlagaddaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-2564-9485
Matthew G HannaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-7536-1746
Jennifer SamboyDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Evangelos StamelosDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Chad VanderbiltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
John PhilipDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-0535-7178
Marc-Henri JeanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Lorraine CorsaleDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Allyne ManzoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Neeraj H G ParamasivamDepartment of Information Systems, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
John S ZieglerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jianjiong GaoDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-5739-1781
Juan C PerinDepartment of Information Systems, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Young Suk KimSchool of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0003-4491-0033
Umeshkumar K BhanotDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-6656-1239
Michael H A RoehrlDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Orly ArdonDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-8147-933X
Sarah ChiangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-9698-0936
Dilip D GiriDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Carlie S SigelDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-6276-3968
Lee K TanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Melissa MurrayDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-2935-6014
Christina VirgoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Christine EnglandDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Yukako YagiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
S Joseph SirintrapunDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-2921-8831
David KlimstraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Meera HameedDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-2766-243X
Victor E ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Thomas J FuchsDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Memorial Sloan Kettering Cancer Center · USStanford University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
National Institutes of Health/National Cancer Institute CancerNCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveBroad adoption of digital pathology (DP) is still lacking, and examples for DP connecting diagnostic, research, and educational use cases are missing. We blueprint a holistic DP solution at a large academic medical center ubiquitously integrated into clinical workflows; researchapplications including molecular, genetic, and tissue databases; and educational processes. MATERIALS AND

methodsWe built a vendor-agnostic, integrated viewer for reviewing, annotating, sharing, and quality assurance of digital slides in a clinical or research context. It is the first homegrown viewer cleared by New York State provisional approval in 2020 for primary diagnosis and remote sign-out during the COVID-19 (coronavirus disease 2019) pandemic. We further introduce an interconnected Honest Broker for BioInformatics Technology (HoBBIT) to systematically compile and share large-scale DP research datasets including anonymized images, redacted pathology reports, and clinical data of patients with consent.

resultsThe solution has been operationally used over 3 years by 926 pathologists and researchers evaluating 288 903 digital slides. A total of 51% of these were reviewed within 1 month after scanning. Seamless integration of the viewer into 4 hospital systems clearly increases the adoption of DP. HoBBIT directly impacts the translation of knowledge in pathology into effective new health measures, including artificial intelligence-driven detection models for prostate cancer, basal cell carcinoma, and breast cancer metastases, developed and validated on thousands of cases.

conclusionsWe highlight major challenges and lessons learned when going digital to provide orientation for other pathologists. Building interconnected solutions will not only increase adoption of DP, but also facilitate next-generation computational pathology at scale for enhanced cancer research.

Indexed as

COVID-19NeoplasmsPathology, ClinicalAcademic Medical CentersArtificial IntelligenceHumansMaleMedical InformaticsPandemicsartificial intelligencecomputational pathologydigital pathologyhonest broker, pathologywhole slide imaging

Identifiers

PMID34260720
PMCPMC8344580
OpenAlexW3178519255

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.