Evidence map›Paper›PMID 26577803›Full record

ArticleNeuropathology : official journal of the Japanese Society of Neuropathology2016

Applicability of digital analysis and imaging technology in neuropathology assessment.

William D Dunn, Marla Gearing, Yuna Park, Lifan Zhang, John Hanfelt, Jonathan D Glass, David A Gutman

Open access · greenAbstract read
In one paragraph

Article in Neuropathology : official journal of the Japanese Society of Neuropathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  3. Comparison of multiple quantitative strategies for neuropathologic image analyses.Journal of neuropathology and experimental neurology · 2025
    Article
  4. Digital pathology in tau research: A comparison of QuPath and HALO.Journal of neuropathology and experimental neurology · 2025
    Article
  5. [International journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Abnormal [Synapse (New York, N.Y.) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  15. Article
  16. Article
  17. Precision pharmacology for Alzheimer's disease.Pharmacological research · 2018
    Review
  18. Article
  19. 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

7 authors at 2 institutions in 1 country.

William D DunnDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Marla GearingDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Yuna ParkDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Lifan ZhangBiomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, USA.
John HanfeltDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Atlanta, Georgia, USA.
Jonathan D GlassDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
David A GutmanDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.
Emory University · USGeorgia Department of Public Health · US

Funding

The Emory Alzheimer's Disease CenterP50AG025688 · NIA · EMORY UNIVERSITY · PI LEVEY, ALLAN I · 2005 to 2019
$25.7M
Advanced Development of an Open-source Platform for Web-based Integrative Digital Image Analysis in CancerU24CA194362 · NCI · EMORY UNIVERSITY · PI COOPER, LEE, GUTMAN, DAVID ANDREW · 2015 to 2019
$3.6M
NCI NIH HHS U24 CA194362NIA NIH HHS P50 AG025688
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurological disorder that affects more than 30 million people worldwide. While various dementia-related losses in cognitive functioning are its hallmark clinical symptoms, ultimate diagnosis is based on manual neuropathological assessments using various schemas, including Braak staging, CERAD (Consortium to Establish a Registry for Alzheimer's Disease) and Thal phase scoring. Since these scoring systems are based on subjective assessment, there is inevitably some degree of variation between readers, which could affect ultimate neuropathology diagnosis. Here, we report a pilot study investigating the applicability of computer-driven image analysis for characterizing neuropathological features, as well as its potential to supplement or even replace manually derived ratings commonly performed in medical settings. In this work, we quantitatively measured amyloid beta (Aβ) plaque in various brain regions from 34 patients using a robust digital quantification algorithm. We next verified these digitally derived measures to the manually derived pathology ratings using correlation and ordinal logistic regression methods, while also investigating the association with other AD-related neuropathology scoring schema commonly used at autopsy, such as Braak and CERAD. In addition to successfully verifying our digital measurements of Aβ plaques with respective categorical measurements, we found significant correlations with most AD-related scoring schemas. Our results demonstrate the potential for digital analysis to be adapted to more complex staining procedures commonly used in neuropathological diagnosis. As the efficiency of scanning and digital analysis of histology images increases, we believe that the basis of our semi-automatic approach may better standardize quantification of neuropathological changes and AD diagnosis, ultimately leading to a more comprehensive understanding of neurological disorders and more efficient patient care.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesBrainDiagnosis, Computer-AssistedFemaleHumansImage EnhancementMaleMiddle AgedReproducibility of ResultsAmyloid beta-PeptidesAlzheimer's diseaseBraakCERADdigital analysisneuropathology

Identifiers

PMID26577803
PMCPMC5452679
OpenAlexW2181210881

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.