Evidence map›Paper›PMID 25057430›Full record

ArticleJournal of pathology informatics2014

Digital pathology: A systematic evaluation of the patent landscape.

Ioan C Cucoranu, Anil V Parwani, Suryanarayana Vepa, Ronald S Weinstein, Liron Pantanowitz

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Invention and Early History of Telepathology (1985-2000).Journal of pathology informatics · 2019
    Review
  8. Implementing the DICOM Standard for Digital Pathology.Journal of pathology informatics · 2018
    Article
  9. Article
  10. The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2017
    Review
  11. Review
  12. Article
  13. 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

5 authors.

Ioan C CucoranuDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Anil V ParwaniDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Suryanarayana VepaOffice of Technology Transfer, National Institutes of Health, Rockville, Maryland, USA.
Ronald S WeinsteinDepartment of Pathology and Arizona Telemedicine Program, University of Arizona, Tucson, Arizona, USA.
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital pathology is a relatively new field. Inventors of technology in this field typically file for patents to protect their intellectual property. An understanding of the patent landscape is crucial for companies wishing to secure patent protection and market dominance for their products. To our knowledge, there has been no prior systematic review of patents related to digital pathology. Therefore, the aim of this study was to systematically identify and evaluate United States patents and patent applications related to digital pathology. MATERIALS AND

methodsIssued patents and patent applications related to digital pathology published in the United States Patent and Trademark Office (USPTO) database (www.uspto.gov) (through January 2014) were searched using the Google Patents search engine (Google Inc., Mountain View, California, USA). Keywords and phrases related to digital pathology, whole-slide imaging (WSI), image analysis, and telepathology were used to query the USPTO database. Data were downloaded and analyzed using the Papers application (Mekentosj BV, Aalsmeer, Netherlands).

resultsA total of 588 United States patents that pertain to digital pathology were identified. In addition, 228 patent applications were identified, including 155 that were pending, 65 abandoned, and eight rejected. Of the 588 patents granted, 348 (59.18%) were specific to pathology, while 240 (40.82%) included more general patents also usable outside of pathology. There were 70 (21.12%) patents specific to pathology and 57 (23.75%) more general patents that had expired. Over 120 unique entities (individual inventors, academic institutions, and private companies) applied for pathology specific patents. Patents dealt largely with telepathology and image analysis. WSI related patents addressed image acquisition (scanning and focus), quality (z-stacks), management (storage, retrieval, and transmission of WSI files), and viewing (graphical user interface (GUI), workflow, slide navigation and remote control). An increasing number of recent patents focused on computer-aided diagnosis (CAD) and digital consultation networks.

conclusionIn the last 2 decades, there have been an increasing number of patents granted and patent applications filed related to digital pathology. The number of these patents quadrupled during the last decade, and this trend is predicted to intensify based on the number of patent applications already published by the USPTO.

Indexed as

Digital pathologyimage analysisintellectual propertylegalpatenttelepathologywhole-slide imaging

Identifiers

PMID25057430
PMCPMC4060404

What OpenQuestion holds

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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.