Literature DB >> 29903922

Contextual Radiology Reporting: A New Approach to Neuroradiology Structured Templates.

M D Mamlouk1,2, P C Chang3, R R Saket4,2.   

Abstract

Structured reporting has many advantages over conventional narrative reporting and has been advocated for standard usage by radiologic societies and literature. Traditional structured reports though are often not tailored to the appropriate clinical situation, are generic, and can be overly constraining. Contextual reporting is an alternative method of structured reporting that is specifically related to the disease or examination indication. Herein, we create a library of 50 contextual structured reports for neuroradiologists and emphasize their clinical value over noncontextual structured reporting. These templates are located in the On-line Appendix, and a downloadable PowerScribe 360 file may be accessed at https://drive.google.com/open?id=1AlPUmfAXPzjkMFcHf7vGKF4Q-vIdpflT.
© 2018 by American Journal of Neuroradiology.

Mesh:

Year:  2018        PMID: 29903922     DOI: 10.3174/ajnr.A5697

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  8 in total

1.  Contextual Structured Reporting in Radiology: Implementation and Long-Term Evaluation in Improving the Communication of Critical Findings.

Authors:  Allard W Olthof; Anne L M Leusveld; Jan Cees de Groot; Petra M C Callenbach; Peter M A van Ooijen
Journal:  J Med Syst       Date:  2020-07-28       Impact factor: 4.460

2.  The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?

Authors:  A E Flanders; J E Jordan
Journal:  AJNR Am J Neuroradiol       Date:  2018-09-20       Impact factor: 3.825

3.  Comparison of Unenhanced and Gadolinium-Enhanced Imaging in Multiple Sclerosis: Is Contrast Needed for Routine Follow-Up MRI?

Authors:  G Sadigh; A M Saindane; A D Waldman; N S Lava; R Hu
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-22       Impact factor: 3.825

4.  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

5.  A Quantitative Assessment of Pre-Operative MRI Reports in Glioma Patients: Report Metrics and IDH Prediction Ability.

Authors:  Hang Cao; E Zeynep Erson-Omay; Murat Günel; Jennifer Moliterno; Robert K Fulbright
Journal:  Front Oncol       Date:  2021-01-29       Impact factor: 6.244

Review 6.  [Structured reporting in radiology : German and European radiology societies' point of view].

Authors:  Elmar Kotter; Daniel Pinto Dos Santos
Journal:  Radiologe       Date:  2021-10-18       Impact factor: 0.803

7.  How to Use LI-RADS to Report Liver CT and MRI Observations.

Authors:  Guilherme M Cunha; Kathryn J Fowler; Alexandra Roudenko; Bachir Taouli; Alice W Fung; Khaled M Elsayes; Robert M Marks; Irene Cruite; Natally Horvat; Victoria Chernyak; Claude B Sirlin; An Tang
Journal:  Radiographics       Date:  2021-07-23       Impact factor: 6.312

8.  Reporting frequency of radiology findings increases after introducing visual rating scales in the primary care diagnostic work up of subjective and mild cognitive impairment.

Authors:  Claes Håkansson; Gustav Torisson; Elisabet Londos; Oskar Hansson; Isabella M Björkman-Burtscher; Danielle van Westen
Journal:  Eur Radiol       Date:  2020-08-26       Impact factor: 5.315

  8 in total

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