Evaluating the Completeness of RadLex in the Chest Radiography Domain

Rationale and Objectives RadLex was developed to create a unified language for radiologists. Despite the large number of terms, little research has evaluated the degree to which RadLex contains terms frequently used in clinical practice. The purposes of this project are to estimate the completeness...

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Veröffentlicht in:Academic radiology 2013-11, Vol.20 (11), p.1329-1333
Hauptverfasser: Woods, Ryan W., MD, MPH, Eng, John, MD
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creator Woods, Ryan W., MD, MPH
Eng, John, MD
description Rationale and Objectives RadLex was developed to create a unified language for radiologists. Despite the large number of terms, little research has evaluated the degree to which RadLex contains terms frequently used in clinical practice. The purposes of this project are to estimate the completeness of RadLex in the chest radiography domain and to characterize the absent terms. We chose chest radiography because it is a common exam generating a large number of reports, and the terms used represent a relatively well-circumscribed set of terms compared to other anatomic regions and modalities. Materials and Methods We collected a random sample of 100 chest radiograph reports from 1 month of routine clinical practice of three board-certified radiologists. We parsed each report's findings and impression sections into individual objects. An “object” was defined as any discrete physical object, body part, observation, descriptive modifier, diagnosis, or procedure. Objects were compared to RadLex by entering the object into the RadLex Term Browser. We calculated descriptive statistics and compared the match rate across RadLex categories. Results We identified 339 unique objects, with an overall match rate of 62%. The match rate for each category was anatomic object, 77%; physiological condition, 73%; physical object, 65%; imaging observation, 47%; procedure, 0%; other, 41% ( P  
doi_str_mv 10.1016/j.acra.2013.08.011
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Despite the large number of terms, little research has evaluated the degree to which RadLex contains terms frequently used in clinical practice. The purposes of this project are to estimate the completeness of RadLex in the chest radiography domain and to characterize the absent terms. We chose chest radiography because it is a common exam generating a large number of reports, and the terms used represent a relatively well-circumscribed set of terms compared to other anatomic regions and modalities. Materials and Methods We collected a random sample of 100 chest radiograph reports from 1 month of routine clinical practice of three board-certified radiologists. We parsed each report's findings and impression sections into individual objects. An “object” was defined as any discrete physical object, body part, observation, descriptive modifier, diagnosis, or procedure. Objects were compared to RadLex by entering the object into the RadLex Term Browser. We calculated descriptive statistics and compared the match rate across RadLex categories. Results We identified 339 unique objects, with an overall match rate of 62%. The match rate for each category was anatomic object, 77%; physiological condition, 73%; physical object, 65%; imaging observation, 47%; procedure, 0%; other, 41% ( P  &lt; .0005). Conclusions Our study shows that despite the large number of terms in RadLex, terms are still absent and complexities in the definitions of terms exist. However, increasing the completeness and refining the definitions in RadLex is easily surmountable, possibly using manual methods.</description><identifier>ISSN: 1076-6332</identifier><identifier>EISSN: 1878-4046</identifier><identifier>DOI: 10.1016/j.acra.2013.08.011</identifier><identifier>PMID: 24119344</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>chest radiography ; Humans ; informatics ; Radiography, Thoracic ; Radiology ; Radiology Information Systems - standards ; RadLex ; Vocabulary, Controlled</subject><ispartof>Academic radiology, 2013-11, Vol.20 (11), p.1329-1333</ispartof><rights>AUR</rights><rights>2013 AUR</rights><rights>Copyright © 2013 AUR. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-bb074f2de7c207eba6f89b9018a5d60787f1200fd423488025bd85bdfc04225d3</citedby><cites>FETCH-LOGICAL-c455t-bb074f2de7c207eba6f89b9018a5d60787f1200fd423488025bd85bdfc04225d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.acra.2013.08.011$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24119344$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Woods, Ryan W., MD, MPH</creatorcontrib><creatorcontrib>Eng, John, MD</creatorcontrib><title>Evaluating the Completeness of RadLex in the Chest Radiography Domain</title><title>Academic radiology</title><addtitle>Acad Radiol</addtitle><description>Rationale and Objectives RadLex was developed to create a unified language for radiologists. Despite the large number of terms, little research has evaluated the degree to which RadLex contains terms frequently used in clinical practice. The purposes of this project are to estimate the completeness of RadLex in the chest radiography domain and to characterize the absent terms. We chose chest radiography because it is a common exam generating a large number of reports, and the terms used represent a relatively well-circumscribed set of terms compared to other anatomic regions and modalities. Materials and Methods We collected a random sample of 100 chest radiograph reports from 1 month of routine clinical practice of three board-certified radiologists. We parsed each report's findings and impression sections into individual objects. An “object” was defined as any discrete physical object, body part, observation, descriptive modifier, diagnosis, or procedure. Objects were compared to RadLex by entering the object into the RadLex Term Browser. We calculated descriptive statistics and compared the match rate across RadLex categories. Results We identified 339 unique objects, with an overall match rate of 62%. The match rate for each category was anatomic object, 77%; physiological condition, 73%; physical object, 65%; imaging observation, 47%; procedure, 0%; other, 41% ( P  &lt; .0005). Conclusions Our study shows that despite the large number of terms in RadLex, terms are still absent and complexities in the definitions of terms exist. 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Despite the large number of terms, little research has evaluated the degree to which RadLex contains terms frequently used in clinical practice. The purposes of this project are to estimate the completeness of RadLex in the chest radiography domain and to characterize the absent terms. We chose chest radiography because it is a common exam generating a large number of reports, and the terms used represent a relatively well-circumscribed set of terms compared to other anatomic regions and modalities. Materials and Methods We collected a random sample of 100 chest radiograph reports from 1 month of routine clinical practice of three board-certified radiologists. We parsed each report's findings and impression sections into individual objects. An “object” was defined as any discrete physical object, body part, observation, descriptive modifier, diagnosis, or procedure. Objects were compared to RadLex by entering the object into the RadLex Term Browser. 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source Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE
subjects chest radiography
Humans
informatics
Radiography, Thoracic
Radiology
Radiology Information Systems - standards
RadLex
Vocabulary, Controlled
title Evaluating the Completeness of RadLex in the Chest Radiography Domain
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