Evidence map›Paper›PMID 29092945›Full record

ArticleCancer research2017

The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research.

David A Gutman, Mohammed Khalilia, Sanghoon Lee, Michael Nalisnik, Zach Mullen, Jonathan Beezley, Deepak R Chittajallu, David Manthey, Lee A D Cooper

Abstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing 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

101 citing papers in PubMed.

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  11. The comparative pathology workbench: An update.Journal of pathology informatics · 2025
    Article
  12. Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Article
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  18. Article
  19. Article
  20. Review

41 more citing papers are in PubMed but not listed here.

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

9 authors.

David A GutmanDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia. dgutman@emory.edu.
Mohammed KhaliliaDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia.
Sanghoon LeeDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia.
Michael NalisnikDepartment of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia.
Zach MullenKitware Incorporated, Clifton Park, New York.
Jonathan BeezleyKitware Incorporated, Clifton Park, New York.
Deepak R ChittajalluKitware Incorporated, Clifton Park, New York.
David MantheyKitware Incorporated, Clifton Park, New York.
Lee A D CooperDepartment of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia.

Funding

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 CA194362
6 · The paper itself

Abstract

Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. These slides contain important diagnostic, prognostic, and biological information and can be digitized into expansive and high-resolution whole-slide images using slide-scanning devices. Effectively utilizing digital pathology data in cancer research requires the ability to manage, visualize, share, and perform quantitative analysis on these large amounts of image data, tasks that are often complex and difficult for investigators with the current state of commercial digital pathology software. In this article, we describe the Digital Slide Archive (DSA), an open-source web-based platform for digital pathology. DSA allows investigators to manage large collections of histologic images and integrate them with clinical and genomic metadata. The open-source model enables DSA to be extended to provide additional capabilities.

Indexed as

Image Processing, Computer-AssistedLibraries, DigitalSoftwareHumansInternetNeoplasms

Identifiers

PMID29092945
PMCPMC5898232

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.