Toward Best Practices in Radiology Reporting

Kahn, Charles Η.; Langlotz, Curtis P.; Burnside, Elizabeth S.; Carrino, John A.; Channin, David S.; Hovsepian, David M.; Rubin, Daniel L.

doi:10.1148/radiol.2523081992

Cited by 202 publications

(134 citation statements)

References 12 publications

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“…One application of RadLex is to standardize the vocabulary used in radiology reports. To identify and promote "best practices" radiology reporting, the RSNA has been developing a digital library of XML-encoded, structured radiology reporting templates [5]. The primary goal of this project was to determine how well RadLex covers the elements of templates for structured radiology reports.…”

Section: Introductionmentioning

confidence: 99%

Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates

et al. 2011

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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.

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Section: Introductionmentioning

confidence: 99%

Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates

et al. 2011

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“…The RSNA reporting templates have been created to represent "best practice" in radiology reporting [8], rather than as a normative standard. In general, the templates were crafted by national committees of subspecialty experts or as "timetested" examples of reporting templates used at individual institutions.…”

Section: Discussionmentioning

confidence: 99%

“…To promote structured radiology reporting, the Radiological Society of North America (RSNA) has developed a large, freely accessible online library of radiology reporting templates (http://www.radreport.org) [8]. Radiologists and other users can browse, retrieve, and download templates in text format or encoded in the Extensible Markup Language.…”

Section: Introductionmentioning

confidence: 99%

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Content Analysis of Reporting Templates and Free-Text Radiology Reports

Hong

Kahn

2013

J Digit Imaging

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The Radiological Society of North America (RSNA) has developed a set of templates for structured reporting of radiology results. To measure how much of the content of conventional narrative ("free-text") reports is covered by the concepts included in the RSNA reporting templates, we selected five reporting templates that represented a variety of imaging modalities and organ systems. From a sample of 8,275 consecutive, de-identified radiology reports from an academic medical center, we identified one corresponding imaging procedure code for each reporting template. The reports were annotated with RadLex and SNOMED CT terms using the BioPortal Annotator web service. The reporting templates we examined accounted for 17 to 49 % of the concepts that actually appeared in a sample of corresponding radiology reports. The findings suggest that the concepts that appear in the reporting templates occur frequently within free-text clinical reports; thus, the templates provide useful coverage of the "domain of discourse" in radiology reports. The techniques used in this study may be helpful to guide the development of reporting templates by identifying concepts that occur frequently in radiology reports, to evaluate the coverage of existing templates, and to establish global benchmarks for reporting templates.

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“…Natural text searching presents many ambiguities and false positives [11,12], which reduce their applicability in patient health care. In this sense, the use of ontologies can improve the way in which data is organized [13], reducing the ambiguities of plain text descriptions [14][15][16][17]. Structuring radiology reports constitutes a step beyond coding and defining terminologies, as they are bound to the clinical pathway and objectives of the study.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Approach for Using DICOM Structured Reports in Clinical Processes: Focus on Breast Cancer

et al. 2014

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This paper describes a methodology for redesigning the clinical processes to manage diagnosis, follow-up, and response to treatment episodes of breast cancer. This methodology includes three fundamental elements: (1) identification of similar and contrasting cases that may be of clinical relevance based upon a target study, (2) codification of reports with standard medical terminologies, and (3) linking and indexing the structured reports obtained with different techniques in a common system. The combination of these elements should lead to improvements in the clinical management of breast cancer patients. The motivation for this work is the adaptation of the clinical processes for breast cancer created by the Valencian Community health authorities to the new techniques available for data processing. To achieve this adaptation, it was necessary to design nine Digital Imaging and Communications in Medicine (DICOM) structured report templates: six diagnosis templates and three summary templates that combine reports from clinical episodes. A prototype system is also described that links the lesion to the reports. Preliminary tests of the prototype have shown that the interoperability among the report templates allows correlating parameters from different reports. Further work is in progress to improve the methodology in order that it can be applied to clinical practice.

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Toward Best Practices in Radiology Reporting

Cited by 202 publications

References 12 publications

Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates

Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates

Content Analysis of Reporting Templates and Free-Text Radiology Reports

A Systematic Approach for Using DICOM Structured Reports in Clinical Processes: Focus on Breast Cancer

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