Evidence map›Paper›PMID 36692179›Full record

ArticleJournal of neuropathology and experimental neurology2023

The status of digital pathology and associated infrastructure within Alzheimer's Disease Centers.

Rebeca Scalco, Yamah Hamsafar, Charles L White, Julie A Schneider, Robert Ross Reichard, Stefan Prokop, Richard J Perrin, Peter T Nelson, Sean Mooney, Andrew P Lieberman and 11 more

Abstract read
In one paragraph

Article in Journal of neuropathology and experimental neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  6. Comparison of multiple quantitative strategies for neuropathologic image analyses.Journal of neuropathology and experimental neurology · 2025
    Article
  7. Digital pathology in tau research: A comparison of QuPath and HALO.Journal of neuropathology and experimental neurology · 2025
    Article
  8. Review
  9. The Nun Study: Insights from 30 years of aging and dementia research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  10. Article
  11. Article
  12. Using digital pathology to analyze the murine cerebrovasculature.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  13. Brain banking in the United States and Europe: Importance, challenges, and future trends.Journal of neuropathology and experimental neurology · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. 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

21 authors.

Rebeca ScalcoDepartment of Pathology and Laboratory Medicine, University of California-Davis, Sacramento, California, USA.
Yamah HamsafarDepartment of Pathology and Laboratory Medicine, University of California-Davis, Sacramento, California, USA.
Charles L WhiteDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Julie A SchneiderRush Alzheimer's Disease Center, Chicago, Illinois, USA.
Robert Ross ReichardMayo Clinic, Rochester, Minnesota, USA.
Stefan ProkopDepartment of Pathology, College of Medicine, University of Florida, Gainesville, Florida, USA.
Richard J PerrinDepartment of Pathology and Immunology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Peter T NelsonUniversity of Kentucky, Lexington, Kentucky, USA.
Sean MooneyInstitute for Medical Data Science and Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Andrew P LiebermanDepartment of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Walter A KukullInstitute for Medical Data Science and Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Julia KoflerDepartment of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Christopher Dirk KeeneDepartment Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Alifiya KapasiRush Alzheimer's Disease Center, Chicago, Illinois, USA.
David J IrwinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David A GutmanDepartments of Neurology, Psychiatry, and Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, USA.
Margaret E FlanaganDepartment of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
John F CraryDepartment of Pathology, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Kwun C ChanInstitute for Medical Data Science and Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Melissa E MurrayDepartment of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA.
Brittany N DuggerDepartment of Pathology and Laboratory Medicine, University of California-Davis, Sacramento, California, USA.ORCID 0000-0003-2141-8855

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ARTHUR W TOGA · 2016 to 2026
$226.7M
Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2019 to 2026
$33.5M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Carolyn Wei Zhu · 2020 to 2026
$31.0M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Thomas J. Grabowski · 2020 to 2026
$29.0M
Neuropathology CoreP30AG013854 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ROGALSKI, EMILY J · 1996 to 2020
$28.9M
NHLBI NIH HHS OT2 HL161847NIA NIH HHS K01 AG075177NIA NIH HHS K08 AG065463NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P01 AG078116NIA NIH HHS P30 AG010161NIA NIH HHS P30AG010161NIA NIH HHS P30 AG012300NIA NIH HHS P30 AG013854NIA NIH HHS P30 AG047266NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072972NIA NIH HHS P30AG072972NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072977NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG047266NIA NIH HHS R01 AG052132NIA NIH HHS R01 AG054008NIA NIH HHS R01 AG054449NIA NIH HHS R01 AG056519NIA NIH HHS R01 AG060920NIA NIH HHS R01 AG062517NIA NIH HHS R01 AG075802NIA NIH HHS RF1 AG069052NIA NIH HHS U01 AG057195NIA NIH HHS U01 AG061357NIA NIH HHS U24 AG072122NIH HHS P30AG010161NIH HHS P30AG066514NIH HHS P50 AG005136NIH HHS U19AG024904NINDS NIH HHS R01 NS086736NINDS NIH HHS R01 NS095252NINDS NIH HHS RF1 NS118584
6 · The paper itself

Abstract

Digital pathology (DP) has transformative potential, especially for Alzheimer disease and related disorders. However, infrastructure barriers may limit adoption. To provide benchmarks and insights into implementation barriers, a survey was conducted in 2019 within National Institutes of Health's Alzheimer's Disease Centers (ADCs). Questions covered infrastructure, funding sources, and data management related to digital pathology. Of the 35 ADCs to which the survey was sent, 33 responded. Most respondents (81%) stated that their ADC had digital slide scanner access, with the most frequent brand being Aperio/Leica (62.9%). Approximately a third of respondents stated there were fees to utilize the scanner. For DP and machine learning (ML) resources, 41% of respondents stated none was supported by their ADC. For scanner purchasing and operations, 50% of respondents stated they received institutional support. Some were unsure of the file size of scanned digital images (37%) and total amount of storage space files occupied (50%). Most (76%) were aware of other departments at their institution working with ML; a similar (76%) percentage were unaware of multiuniversity or industry partnerships. These results demonstrate many ADCs have access to a digital slide scanner; additional investigations are needed to further understand hurdles to implement DP and ML workflows.

Indexed as

Alzheimer DiseaseHumansMachine LearningSurveys and QuestionnairesWorkflowAlzheimer diseaseComputational pathologyDeep LearningDigital pathologyMachine LearningQuantitative pathologySlide scanner

Identifiers

PMID36692179
PMCPMC9941826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.