Evidence map›Paper›PMID 22530178›Full record

ArticleJournal of pathology informatics2012

Integration of digital gross pathology images for enterprise-wide access.

Milon Amin, Gaurav Sharma, Anil V Parwani, Ralph Anderson, Brian J Kolowitz, Anthony Piccoli, Rasu B Shrestha, Gonzalo Romero Lauro, Liron Pantanowitz

Open access · goldAbstract read
In one paragraph

Article in Journal of pathology informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Digital media archive for gross pathology images based on open-source tools and Fast Healthcare Interoperability Resources (FHIR).Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  3. Article
  4. Commentary: What Can Augmented Reality Do for You?Journal of pathology informatics · 2018
    Article
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Milon AminDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Gaurav Sharma
Anil V Parwani
Ralph Anderson
Brian J Kolowitz
Anthony Piccoli
Rasu B Shrestha
Gonzalo Romero Lauro
Liron Pantanowitz
University of Pittsburgh Medical Center · USUniversity of Pittsburgh · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSharing digital pathology images for enterprise- wide use into a picture archiving and communication system (PACS) is not yet widely adopted. We share our solution and 3-year experience of transmitting such images to an enterprise image server (EIS).

methodsGross pathology images acquired by prosectors were integrated with clinical cases into the laboratory information system's image management module, and stored in JPEG2000 format on a networked image server. Automated daily searches for cases with gross images were used to compile an ASCII text file that was forwarded to a separate institutional Enterprise Digital Imaging and Communications in Medicine (DICOM) Wrapper (EDW) server. Concurrently, an HL7-based image order for these cases was generated, containing the locations of images and patient data, and forwarded to the EDW, which combined data in these locations to generate images with patient data, as required by DICOM standards. The image and data were then "wrapped" according to DICOM standards, transferred to the PACS servers, and made accessible on an institution-wide basis.

resultsIn total, 26,966 gross images from 9,733 cases were transmitted over the 3-year period from the laboratory information system to the EIS. The average process time for cases with successful automatic uploads (n=9,688) to the EIS was 98 seconds. Only 45 cases (0.5%) failed requiring manual intervention. Uploaded images were immediately available to institution- wide PACS users. Since inception, user feedback has been positive.

conclusionsEnterprise- wide PACS- based sharing of pathology images is feasible, provides useful services to clinical staff, and utilizes existing information system and telecommunications infrastructure. PACS-shared pathology images, however, require a "DICOM wrapper" for multisystem compatibility.

Indexed as

DICOMdigital imageLISPACSpathologywrapper

Identifiers

PMID22530178
PMCPMC3327039
OpenAlexW2124265336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.