Evidence map›Paper›PMID 35802938›Full record

ArticleArchives of pathology & laboratory medicine2023

Rapid Deployment of Whole Slide Imaging for Primary Diagnosis in Surgical Pathology at Stanford Medicine: Responding to Challenges of the COVID-19 Pandemic.

Rebecca Rojansky, Iny Jhun, Alex M Dussaq, Steven M Chirieleison, Jeffrey J Nirschl, Don Born, Jennifer Fralick, William Hetherington, Alison M Kerr, Jonathan Lavezo and 13 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of pathology & laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

23 authors at 4 institutions in 1 country.

Rebecca RojanskyFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Iny JhunFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Alex M DussaqFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Steven M ChirieleisonFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Jeffrey J NirschlFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Don BornFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Jennifer FralickAnatomic Pathology and Clinical Laboratories (Fralick, Hetherington, Macasaet, Young), Stanford Health Care, Stanford, California.
William HetheringtonAnatomic Pathology and Clinical Laboratories (Fralick, Hetherington, Macasaet, Young), Stanford Health Care, Stanford, California.
Alison M KerrClinical Operations (Kerr), Stanford Health Care, Stanford, California.
Jonathan LavezoThe Department of Pathology, Health Sciences Center, Texas Tech University, El Paso (Lavezo).
Daniel B LawrenceInformation Technology (Lawrence, Shoemaker, Waraich), Stanford Health Care, Stanford, California.
Seth LummusThe Department of Human Physiology and Nutrition, University of Colorado, Colorado Springs (Lummus).
Ronald MacasaetAnatomic Pathology and Clinical Laboratories (Fralick, Hetherington, Macasaet, Young), Stanford Health Care, Stanford, California.
Thomas J MontineFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Emily RyanFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Jeanne ShenFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Jonathan ShoemakerInformation Technology (Lawrence, Shoemaker, Waraich), Stanford Health Care, Stanford, California.
Brent TanFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Hannes VogelFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Puneet Singh WaraichInformation Technology (Lawrence, Shoemaker, Waraich), Stanford Health Care, Stanford, California.
Eric YangFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
April YoungAnatomic Pathology and Clinical Laboratories (Fralick, Hetherington, Macasaet, Young), Stanford Health Care, Stanford, California.
Ann FolkinsFrom the Department of Pathology, School of Medicine, Stanford University, Stanford, California (Rojansky, Jhun, Dussaq, Chirieleison, Nirschl, Born, Montine, Ryan, Shen, Tan, Vogel, Yang, Folkins).
Stanford Medicine · USStanford Health Care · USThe University of Texas at El Paso · USUniversity of Colorado Colorado Springs · US

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI ELIZABETH MORMINO · 2020 to 2026
$29.0M
NIA NIH HHS P30 AG066515
6 · The paper itself

Abstract

CONTEXT.—: Stanford Pathology began stepwise subspecialty implementation of whole slide imaging (WSI) in 2018 soon after the first US Food and Drug Administration approval. In 2020, during the COVID-19 pandemic, the Centers for Medicare & Medicaid Services waived the requirement for pathologists to perform diagnostic tests in Clinical Laboratory Improvement Amendments (CLIA)-licensed facilities. This encouraged rapid implementation of WSI across all surgical pathology subspecialties. OBJECTIVE.—: To present our experience with validation and implementation of WSI at a large academic medical center encompassing a caseload of more than 50 000 cases per year. DESIGN.—: Validation was performed independently for 3 subspecialty services with a diagnostic concordance threshold above 95%. Analysis of user experience, staffing, infrastructure, and information technology was performed after department-wide expansion. RESULTS.—: Diagnostic concordance was achieved in 96% of neuropathology cases, 100% of gynecologic pathology cases, and 98% of immunohistochemistry cases. After full implementation, 8 high-capacity scanners were operational, with whole slide images generated on greater than 2000 slides per weekday, accounting for approximately 80% of histologic slides at Stanford Medicine. Multiple modifications in workflow and information technology were needed to improve performance. Within months of full implementation, most attending pathologists and trainees had adopted WSI for primary diagnosis. CONCLUSIONS.—: WSI across all surgical subspecialities is achievable at scale at an academic medical center; however, adoption required flexibility to adjust workflows and develop tailored solutions. WSI at scale supported the health and safety of medical staff while facilitating high-quality patient care and education during COVID-19 restrictions.

Indexed as

COVID-19Pathology, SurgicalAgedCOVID-19 TestingFemaleHumansImage Interpretation, Computer-AssistedMedicareMicroscopyPandemicsUnited States

Identifiers

PMID35802938
PMCPMC9904534
OpenAlexW4284962811

What OpenQuestion holds

Textmetadata
LicenceTDM
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.