Literature DB >> 34581930

Quantitative Evaluation of PACS Query/Retrieve Capabilities.

Abderrazek Boufahja1, Steven Nichols2, Vincent Pangon3.   

Abstract

The PACS (Picture Archiving and Communication System) market is heterogenous with dozens of PACS providers having deployed installations in healthcare facilities. The DICOM® query and retrieve interfaces provided by PACS have multiple variations, related to the implemented SOP (Service Object Pair) Classes, transfer syntaxes, extended negotiations, matching attributes, and matching types. These variations can make integration of a new DICOM® consumer with a PACS complex and time consuming. Even if most of PACS products provide a DICOM® conformance statement with a description of its query/retrieve capabilities, there is no collective analysis describing the various PACS query and retrieve capabilities and variations. Also, application developers and healthcare facilities lack a method to evaluate the PACS capabilities and classify its functionalities. GE designed a method to evaluate the PACS capabilities in terms of query retrieve functionalities. Our aim is to analyze several PACS in test and production environments, using our method to provide the DICOM® object consumers a macroscopic knowledge of query/retrieve capabilities of PACS functionalities and its different variations. Our evaluation can also be used by PACS and VNA (Vendor Neutral Archive) developers to evaluate their query/retrieve capabilities, for quality improvement purpose.
© 2021. Society for Imaging Informatics in Medicine.

Entities:  

Keywords:  DICOM®; PACS; Quality; Query; Retrieve

Mesh:

Year:  2021        PMID: 34581930      PMCID: PMC8554935          DOI: 10.1007/s10278-021-00511-9

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.903


  6 in total

Review 1.  AAPM/RSNA tutorial on equipment selection: PACS equipment overview: general guidelines for purchasing and acceptance testing of PACS equipment.

Authors:  Ehsan Samei; J Anthony Seibert; Katherine Andriole; Aldo Badano; Jay Crawford; Bruce Reiner; Michael J Flynn; Paul Chang
Journal:  Radiographics       Date:  2004 Jan-Feb       Impact factor: 5.333

2.  Empirical investigation of radiologists' priorities for PACS selection: an analytical hierarchy process approach.

Authors:  Vivek Joshi; Kyootai Lee; David Melson; Vamsi R Narra
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

Review 3.  Understanding and using DICOM, the data interchange standard for biomedical imaging.

Authors:  W D Bidgood; S C Horii; F W Prior; D E Van Syckle
Journal:  J Am Med Inform Assoc       Date:  1997 May-Jun       Impact factor: 4.497

4.  PACS used while on-call: a national survey of radiology program directors and chief residents.

Authors:  Joseph A Tesoriero; Paul Eddy; Anton N Hasso
Journal:  J Digit Imaging       Date:  2015-04       Impact factor: 4.056

5.  Open source in imaging informatics.

Authors:  Paul Nagy
Journal:  J Digit Imaging       Date:  2007-08-03       Impact factor: 4.056

Review 6.  DICOMweb™: Background and Application of the Web Standard for Medical Imaging.

Authors:  Brad W Genereaux; Donald K Dennison; Kinson Ho; Robert Horn; Elliot Lewis Silver; Kevin O'Donnell; Charles E Kahn
Journal:  J Digit Imaging       Date:  2018-06       Impact factor: 4.056

  6 in total

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