Literature DB >> 22011936

Analysis of RadLex coverage and term co-occurrence in radiology reporting templates.

Yi Hong1, Jin Zhang, Marta E Heilbrun, Charles E Kahn.   

Abstract

Radiologists are critically interested in promoting best practices in medical imaging, and to that end, they are actively developing tools that will optimize terminology and reporting practices in radiology. The RadLex® vocabulary, developed by the Radiological Society of North America (RSNA), is intended to create a unifying source for the terminology that is used to describe medical imaging. The RSNA Reporting Initiative has developed a library of reporting templates to integrate reusable knowledge, or meaning, into the clinical reporting process. This report presents the initial analysis of the intersection of these two major efforts. From 70 published radiology reporting templates, we extracted the names of 6,489 reporting elements. These terms were reviewed in conjunction with the RadLex vocabulary and classified as an exact match, a partial match, or unmatched. Of 2,509 unique terms, 1,017 terms (41%) matched exactly to RadLex terms, 660 (26%) were partial matches, and 832 reporting terms (33%) were unmatched to RadLex. There is significant overlap between the terms used in the structured reporting templates and RadLex. The unmatched terms were analyzed using the multidimensional scaling (MDS) visualization technique to reveal semantic relationships among them. The co-occurrence analysis with the MDS visualization technique provided a semantic overview of the investigated reporting terms and gave a metric to determine the strength of association among these terms.

Entities:  

Mesh:

Year:  2012        PMID: 22011936      PMCID: PMC3264705          DOI: 10.1007/s10278-011-9423-9

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  6 in total

1.  Automatic extraction of concepts to extend RadLex.

Authors:  Rebecca Hazen; Alex P Van Esbroeck; Pat Mongkolwat; David S Channin
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

2.  Ontology-assisted analysis of Web queries to determine the knowledge radiologists seek.

Authors:  Daniel L Rubin; Adam Flanders; Woojin Kim; Khan M Siddiqui; Charles E Kahn
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

3.  RadLex: a new method for indexing online educational materials.

Authors:  Curtis P Langlotz
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

4.  Creating and curating a terminology for radiology: ontology modeling and analysis.

Authors:  Daniel L Rubin
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

5.  Indexing thoracic CT reports using a preliminary version of a standardized radiological lexicon (RadLex).

Authors:  Dirk Marwede; Thomas Schulz; Thomas Kahn
Journal:  J Digit Imaging       Date:  2007-07-28       Impact factor: 4.056

6.  Toward best practices in radiology reporting.

Authors:  Charles E Kahn; Curtis P Langlotz; Elizabeth S Burnside; John A Carrino; David S Channin; David M Hovsepian; Daniel L Rubin
Journal:  Radiology       Date:  2009-09       Impact factor: 11.105

  6 in total
  12 in total

Review 1.  Imaging informatics: essential tools for the delivery of imaging services.

Authors:  David S Mendelson; Daniel L Rubin
Journal:  Acad Radiol       Date:  2013-10       Impact factor: 3.173

2.  Building and Querying RDF/OWL Database of Semantically Annotated Nuclear Medicine Images.

Authors:  Kyung Hoon Hwang; Haejun Lee; Geon Koh; Debra Willrett; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2017-02       Impact factor: 4.056

3.  Objective Comparison Using Guideline-based Query of Conventional Radiological Reports and Structured Reports.

Authors:  Máté E Maros; Ralf Wenz; Alex Förster; Matthias F Froelich; Christoph Groden; Wieland H Sommer; Stefan O Schönberg; Thomas Henzler; Holger Wenz
Journal:  In Vivo       Date:  2018 Jul-Aug       Impact factor: 2.155

4.  Content analysis of reporting templates and free-text radiology reports.

Authors:  Yi Hong; Charles E Kahn
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

5.  [Teleradiology - update 2014].

Authors:  D Pinto dos Santos; J-M Hempel; R Kloeckner; C Düber; P Mildenberger
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

6.  Proposing New RadLex Terms by Analyzing Free-Text Mammography Reports.

Authors:  Hakan Bulu; Dorothy A Sippo; Janie M Lee; Elizabeth S Burnside; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

7.  A proof of concept for epidemiological research using structured reporting with pulmonary embolism as a use case.

Authors:  Daniel Pinto Dos Santos; Sonja Scheibl; Gordon Arnhold; Aline Maehringer-Kunz; Christoph Düber; Peter Mildenberger; Roman Kloeckner
Journal:  Br J Radiol       Date:  2018-06-05       Impact factor: 3.039

8.  Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.

Authors:  Priya Deshpande; Alexander Rasin; Jun Son; Sungmin Kim; Eli Brown; Jacob Furst; Daniela S Raicu; Steven M Montner; Samuel G Armato
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

9.  Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings.

Authors:  Máté E Maros; Chang Gyu Cho; Andreas G Junge; Benedikt Kämpgen; Victor Saase; Fabian Siegel; Frederik Trinkmann; Thomas Ganslandt; Christoph Groden; Holger Wenz
Journal:  Sci Rep       Date:  2021-03-09       Impact factor: 4.379

10.  Structured reporting: if, why, when, how-and at what expense? Results of a focus group meeting of radiology professionals from eight countries.

Authors:  J M L Bosmans; L Peremans; M Menni; A M De Schepper; P O Duyck; P M Parizel
Journal:  Insights Imaging       Date:  2012-03-14
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