Exposing Exposure: Automated Anatomy-specific CT Radiation Exposure Extraction for Quality Assurance and Radiation Monitoring
Identifieur interne : 000130 ( Pmc/Curation ); précédent : 000129; suivant : 000131Exposing Exposure: Automated Anatomy-specific CT Radiation Exposure Extraction for Quality Assurance and Radiation Monitoring
Auteurs : Aaron Sodickson ; Graham I. Warden ; Cameron E. Farkas ; Ichiro Ikuta ; Luciano M. Prevedello ; Katherine P. Andriole ; Ramin KhorasaniSource :
- Radiology [ 0033-8419 ] ; 2012.
Abstract
Informatics tools can be used to create accurate large-scale repositories of anatomy-specific CT radiation exposure data from existing image archives that mightbe useful in patient safety initiatives, including radiation exposure monitoringand technique optimization programs.
Url:
DOI: 10.1148/radiol.12111822
PubMed: 22668563
PubMed Central: 3422099
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Exposing Exposure: Automated Anatomy-specific CT Radiation Exposure Extraction for Quality Assurance and Radiation Monitoring</title><author><name sortKey="Sodickson, Aaron" sort="Sodickson, Aaron" uniqKey="Sodickson A" first="Aaron" last="Sodickson">Aaron Sodickson</name></author><author><name sortKey="Warden, Graham I" sort="Warden, Graham I" uniqKey="Warden G" first="Graham I." last="Warden">Graham I. Warden</name></author><author><name sortKey="Farkas, Cameron E" sort="Farkas, Cameron E" uniqKey="Farkas C" first="Cameron E." last="Farkas">Cameron E. Farkas</name></author><author><name sortKey="Ikuta, Ichiro" sort="Ikuta, Ichiro" uniqKey="Ikuta I" first="Ichiro" last="Ikuta">Ichiro Ikuta</name></author><author><name sortKey="Prevedello, Luciano M" sort="Prevedello, Luciano M" uniqKey="Prevedello L" first="Luciano M." last="Prevedello">Luciano M. Prevedello</name></author><author><name sortKey="Andriole, Katherine P" sort="Andriole, Katherine P" uniqKey="Andriole K" first="Katherine P." last="Andriole">Katherine P. Andriole</name></author><author><name sortKey="Khorasani, Ramin" sort="Khorasani, Ramin" uniqKey="Khorasani R" first="Ramin" last="Khorasani">Ramin Khorasani</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22668563</idno><idno type="pmc">3422099</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3422099</idno><idno type="RBID">PMC:3422099</idno><idno type="doi">10.1148/radiol.12111822</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000130</idno><idno type="wicri:Area/Pmc/Curation">000130</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Exposing Exposure: Automated Anatomy-specific CT Radiation Exposure Extraction for Quality Assurance and Radiation Monitoring</title><author><name sortKey="Sodickson, Aaron" sort="Sodickson, Aaron" uniqKey="Sodickson A" first="Aaron" last="Sodickson">Aaron Sodickson</name></author><author><name sortKey="Warden, Graham I" sort="Warden, Graham I" uniqKey="Warden G" first="Graham I." last="Warden">Graham I. Warden</name></author><author><name sortKey="Farkas, Cameron E" sort="Farkas, Cameron E" uniqKey="Farkas C" first="Cameron E." last="Farkas">Cameron E. Farkas</name></author><author><name sortKey="Ikuta, Ichiro" sort="Ikuta, Ichiro" uniqKey="Ikuta I" first="Ichiro" last="Ikuta">Ichiro Ikuta</name></author><author><name sortKey="Prevedello, Luciano M" sort="Prevedello, Luciano M" uniqKey="Prevedello L" first="Luciano M." last="Prevedello">Luciano M. Prevedello</name></author><author><name sortKey="Andriole, Katherine P" sort="Andriole, Katherine P" uniqKey="Andriole K" first="Katherine P." last="Andriole">Katherine P. Andriole</name></author><author><name sortKey="Khorasani, Ramin" sort="Khorasani, Ramin" uniqKey="Khorasani R" first="Ramin" last="Khorasani">Ramin Khorasani</name></author></analytic><series><title level="j">Radiology</title><idno type="ISSN">0033-8419</idno><idno type="eISSN">1527-1315</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Informatics tools can be used to create accurate large-scale repositories of anatomy-specific CT radiation exposure data from existing image archives that mightbe useful in patient safety initiatives, including radiation exposure monitoringand technique optimization programs.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Radiology</journal-id><journal-id journal-id-type="iso-abbrev">Radiology</journal-id><journal-id journal-id-type="hwp">radiology</journal-id><journal-id journal-id-type="pmc">radiology</journal-id><journal-id journal-id-type="publisher-id">Radiology</journal-id><journal-title-group><journal-title>Radiology</journal-title></journal-title-group><issn pub-type="ppub">0033-8419</issn><issn pub-type="epub">1527-1315</issn><publisher><publisher-name>Radiological Society of North America, Inc.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22668563</article-id><article-id pub-id-type="pmc">3422099</article-id><article-id pub-id-type="publisher-id">111822</article-id><article-id pub-id-type="doi">10.1148/radiol.12111822</article-id><article-categories><subj-group subj-group-type="hwp-journal-coll"><subject>24</subject></subj-group><subj-group subj-group-type="heading"><subject>Original Research</subject><subj-group><subject>Computer Applications</subject></subj-group></subj-group></article-categories><title-group><article-title>Exposing Exposure: Automated Anatomy-specific CT Radiation Exposure Extraction for Quality Assurance and Radiation Monitoring</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Sodickson</surname><given-names>Aaron</given-names></name><degrees>MD, PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Warden</surname><given-names>Graham I.</given-names></name><degrees>MD</degrees></contrib><contrib contrib-type="author"><name><surname>Farkas</surname><given-names>Cameron E.</given-names></name><degrees>BA</degrees></contrib><contrib contrib-type="author"><name><surname>Ikuta</surname><given-names>Ichiro</given-names></name><degrees>MD</degrees></contrib><contrib contrib-type="author"><name><surname>Prevedello</surname><given-names>Luciano M.</given-names></name><degrees>MD</degrees></contrib><contrib contrib-type="author"><name><surname>Andriole</surname><given-names>Katherine P.</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Khorasani</surname><given-names>Ramin</given-names></name><degrees>MD, MPH</degrees></contrib><aff id="aff1">From the Department of Radiology and Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (A.S., G.I.W., C.E.F., I.I., L.M.P., K.P.A., R.K.); and United States Air Force, Washington, DC (G.I.W.).</aff></contrib-group><author-notes><corresp id="cor1"><bold>Address correspondence to</bold> A.S. (e-mail: <italic><email>asodickson@partners.org</email></italic>).</corresp><fn fn-type="con"><p><bold>Author contributions:</bold> Guarantors of integrity of entire study, A.S., G.I.W.; study concepts/study design or data acquisition or data analysis/interpretation, all authors; manuscript drafting or manuscript revision for important intellectual content, all authors; approval of final version of submitted manuscript, all authors; literature research, A.S., G.I.W.; clinical studies, G.I.W.; statistical analysis, A.S., G.I.W., I.I.; and manuscript editing, all authors</p></fn></author-notes><pub-date pub-type="ppub"><month>8</month><year>2012</year></pub-date><pub-date pub-type="epub"><month>8</month><year>2012</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>8</month><year>2013</year></pub-date><pmc-comment> PMC Release delay is 12 months and 0 days and was based on the
<volume>264</volume><issue>2</issue><fpage>397</fpage><lpage>405</lpage><permissions><copyright-statement>© RSNA, 2012</copyright-statement><copyright-year>2012</copyright-year></permissions><self-uri xlink:title="pdf" xlink:type="simple" xlink:href="111822.pdf"></self-uri><abstract abstract-type="precis"><p>Informatics tools can be used to create accurate large-scale repositories of anatomy-specific CT radiation exposure data from existing image archives that mightbe useful in patient safety initiatives, including radiation exposure monitoringand technique optimization programs.</p></abstract><abstract><sec><title>Purpose:</title><p>To develop and validate an informatics toolkit that extracts anatomy-specific computed tomography (CT) radiation exposure metrics (volume CT dose index and dose-length product) from existing digital image archives through optical character recognition of CT dose report screen captures (dose screens) combined with Digital Imaging and Communications in Medicine attributes.</p></sec><sec><title>Materials and Methods:</title><p>This institutional review board–approved HIPAA-compliant study was performed in a large urban health care delivery network. Data were drawn from a random sample of CT encounters that occurred between 2000 and 2010; images from these encounters were contained within the enterprise image archive, which encompassed images obtained at an adult academic tertiary referral hospital and its affiliated sites, including a cancer center, a community hospital, and outpatient imaging centers, as well as images imported from other facilities. Software was validated by using 150 randomly selected encounters for each major CT scanner manufacturer, with outcome measures of dose screen retrieval rate (proportion of correctly located dose screens) and anatomic assignment precision (proportion of extracted exposure data with correctly assigned anatomic region, such as head, chest, or abdomen and pelvis). The 95% binomial confidence intervals (CIs) were calculated for discrete proportions, and CIs were derived from the standard error of the mean for continuous variables. After validation, the informatics toolkit was used to populate an exposure repository from a cohort of 54 549 CT encounters; of which 29 948 had available dose screens.</p></sec><sec><title>Results:</title><p>Validation yielded a dose screen retrieval rate of 99% (597 of 605 CT encounters; 95% CI: 98%, 100%) and an anatomic assignment precision of 94% (summed DLP fraction correct 563 in 600 CT encounters; 95% CI: 92%, 96%). Patient safety applications of the resulting data repository include benchmarking between institutions, CT protocol quality control and optimization, and cumulative patient- and anatomy-specific radiation exposure monitoring.</p></sec><sec><title>Conclusion:</title><p>Large-scale anatomy-specific radiation exposure data repositories can be created with high fidelity from existing digital image archives by using open-source informatics tools.</p><p>©RSNA, 2012</p><p>Supplemental material: <italic><ext-link ext-link-type="uri" xlink:href="http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12111822/-/DC1">http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12111822/-/DC1</ext-link></italic></p></sec></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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