Multiple diagnostic task performance in CT examination of the chest

Objectives In three experiments, we studied the detection of multiple abnormality types using the satisfaction of search (SOS) paradigm, the provision of a computer-aided detection (CAD) of pulmonary nodules and a focused nodule detection task. Methods 51 chest CT examinations (24 that demonstrated...

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Veröffentlicht in:British journal of radiology 2013-01, Vol.86 (1021), p.20110799
Hauptverfasser: Schartz, K M, Berbaum, K S, Madsen, M T, Thompson, B H, Mullan, B F, Caldwell, R T, Hammett, B, Ellingson, A N, Franken, Jr, E A
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container_end_page
container_issue 1021
container_start_page 20110799
container_title British journal of radiology
container_volume 86
creator Schartz, K M
Berbaum, K S
Madsen, M T
Thompson, B H
Mullan, B F
Caldwell, R T
Hammett, B
Ellingson, A N
Franken, Jr, E A
description Objectives In three experiments, we studied the detection of multiple abnormality types using the satisfaction of search (SOS) paradigm, the provision of a computer-aided detection (CAD) of pulmonary nodules and a focused nodule detection task. Methods 51 chest CT examinations (24 that demonstrated subtle pulmonary nodules and 27 that demonstrated no pulmonary nodules) were read by 15 radiology residents and fellows under two experimental conditions: (1) when there were no other abnormalities present except test abnormalities in the exams (non-SOS condition), and (2) when other abnormalities were present in the exams (SOS condition). Trials from the two conditions were intermixed. Readers were invited to return for two sessions: one in which the SOS condition was repeated with a simulated CAD; another in which only the non-SOS condition was presented. Detection accuracy was measured using receiver operating characteristic (ROC) analysis. Results An SOS effect (reduced detection accuracy for the test nodules in the presence of the diverse added abnormalities) was not found. Average accuracy was much higher when the CAD prompt was provided, without cost in the detection of the added abnormalities. Accuracy for detecting nodules appearing without intermixed SOS trials was also substantially improved. Conclusions CT interpretation was highly task dependent. Nodule detection was poor in the general search task. Therefore, CAD may offer a greater performance improvement than demonstrated in experiments assessing CAD using focused search. The absence of SOS may be due to limited nodule detection even without other abnormalities. Advances in knowledge CAD prompts of nodules increase the detection accuracy of nodules and decrease the time to detection-without impairing the detection accuracy-of non-nodule abnormalities.
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Methods 51 chest CT examinations (24 that demonstrated subtle pulmonary nodules and 27 that demonstrated no pulmonary nodules) were read by 15 radiology residents and fellows under two experimental conditions: (1) when there were no other abnormalities present except test abnormalities in the exams (non-SOS condition), and (2) when other abnormalities were present in the exams (SOS condition). Trials from the two conditions were intermixed. Readers were invited to return for two sessions: one in which the SOS condition was repeated with a simulated CAD; another in which only the non-SOS condition was presented. Detection accuracy was measured using receiver operating characteristic (ROC) analysis. Results An SOS effect (reduced detection accuracy for the test nodules in the presence of the diverse added abnormalities) was not found. Average accuracy was much higher when the CAD prompt was provided, without cost in the detection of the added abnormalities. Accuracy for detecting nodules appearing without intermixed SOS trials was also substantially improved. Conclusions CT interpretation was highly task dependent. Nodule detection was poor in the general search task. Therefore, CAD may offer a greater performance improvement than demonstrated in experiments assessing CAD using focused search. The absence of SOS may be due to limited nodule detection even without other abnormalities. Advances in knowledge CAD prompts of nodules increase the detection accuracy of nodules and decrease the time to detection-without impairing the detection accuracy-of non-nodule abnormalities.</description><identifier>EISSN: 1748-880X</identifier><identifier>PMID: 23239691</identifier><language>eng</language><publisher>England</publisher><subject>Algorithms ; Artificial Intelligence ; Humans ; Observer Variation ; Pattern Recognition, Automated - methods ; Radiographic Image Enhancement - methods ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiography, Thoracic - methods ; Reproducibility of Results ; Sensitivity and Specificity ; Solitary Pulmonary Nodule - diagnostic imaging</subject><ispartof>British journal of radiology, 2013-01, Vol.86 (1021), p.20110799</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23239691$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schartz, K M</creatorcontrib><creatorcontrib>Berbaum, K S</creatorcontrib><creatorcontrib>Madsen, M T</creatorcontrib><creatorcontrib>Thompson, B H</creatorcontrib><creatorcontrib>Mullan, B F</creatorcontrib><creatorcontrib>Caldwell, R T</creatorcontrib><creatorcontrib>Hammett, B</creatorcontrib><creatorcontrib>Ellingson, A N</creatorcontrib><creatorcontrib>Franken, Jr, E A</creatorcontrib><title>Multiple diagnostic task performance in CT examination of the chest</title><title>British journal of radiology</title><addtitle>Br J Radiol</addtitle><description>Objectives In three experiments, we studied the detection of multiple abnormality types using the satisfaction of search (SOS) paradigm, the provision of a computer-aided detection (CAD) of pulmonary nodules and a focused nodule detection task. Methods 51 chest CT examinations (24 that demonstrated subtle pulmonary nodules and 27 that demonstrated no pulmonary nodules) were read by 15 radiology residents and fellows under two experimental conditions: (1) when there were no other abnormalities present except test abnormalities in the exams (non-SOS condition), and (2) when other abnormalities were present in the exams (SOS condition). Trials from the two conditions were intermixed. Readers were invited to return for two sessions: one in which the SOS condition was repeated with a simulated CAD; another in which only the non-SOS condition was presented. Detection accuracy was measured using receiver operating characteristic (ROC) analysis. Results An SOS effect (reduced detection accuracy for the test nodules in the presence of the diverse added abnormalities) was not found. Average accuracy was much higher when the CAD prompt was provided, without cost in the detection of the added abnormalities. Accuracy for detecting nodules appearing without intermixed SOS trials was also substantially improved. Conclusions CT interpretation was highly task dependent. Nodule detection was poor in the general search task. Therefore, CAD may offer a greater performance improvement than demonstrated in experiments assessing CAD using focused search. The absence of SOS may be due to limited nodule detection even without other abnormalities. Advances in knowledge CAD prompts of nodules increase the detection accuracy of nodules and decrease the time to detection-without impairing the detection accuracy-of non-nodule abnormalities.</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Humans</subject><subject>Observer Variation</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Radiographic Image Enhancement - methods</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiography, Thoracic - methods</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Solitary Pulmonary Nodule - diagnostic imaging</subject><issn>1748-880X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFzbsOgjAUgOHGxAheXsGcFyApVAVmonFxY3AjFQ5ylF7SlkTf3kVnp3_5kn_G4jTfFUlR8GvElt4_OOf5vuQLFmUiE-WhTGNWXaYxkB0ROpJ3bXygFoL0T7DoeuOU1C0CaahqwJdUpGUgo8H0EAaEdkAf1mzey9Hj5tsV256OdXVO7HRT2DXWkZLu3fyu4i_4AKOtN7s</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Schartz, K M</creator><creator>Berbaum, K S</creator><creator>Madsen, M T</creator><creator>Thompson, B H</creator><creator>Mullan, B F</creator><creator>Caldwell, R T</creator><creator>Hammett, B</creator><creator>Ellingson, A N</creator><creator>Franken, Jr, E A</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>201301</creationdate><title>Multiple diagnostic task performance in CT examination of the chest</title><author>Schartz, K M ; Berbaum, K S ; Madsen, M T ; Thompson, B H ; Mullan, B F ; Caldwell, R T ; Hammett, B ; Ellingson, A N ; Franken, Jr, E A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pubmed_primary_232396913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Humans</topic><topic>Observer Variation</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Radiographic Image Enhancement - methods</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiography, Thoracic - methods</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Solitary Pulmonary Nodule - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schartz, K M</creatorcontrib><creatorcontrib>Berbaum, K S</creatorcontrib><creatorcontrib>Madsen, M T</creatorcontrib><creatorcontrib>Thompson, B H</creatorcontrib><creatorcontrib>Mullan, B F</creatorcontrib><creatorcontrib>Caldwell, R T</creatorcontrib><creatorcontrib>Hammett, B</creatorcontrib><creatorcontrib>Ellingson, A N</creatorcontrib><creatorcontrib>Franken, Jr, E A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>British journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schartz, K M</au><au>Berbaum, K S</au><au>Madsen, M T</au><au>Thompson, B H</au><au>Mullan, B F</au><au>Caldwell, R T</au><au>Hammett, B</au><au>Ellingson, A N</au><au>Franken, Jr, E A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple diagnostic task performance in CT examination of the chest</atitle><jtitle>British journal of radiology</jtitle><addtitle>Br J Radiol</addtitle><date>2013-01</date><risdate>2013</risdate><volume>86</volume><issue>1021</issue><spage>20110799</spage><pages>20110799-</pages><eissn>1748-880X</eissn><abstract>Objectives In three experiments, we studied the detection of multiple abnormality types using the satisfaction of search (SOS) paradigm, the provision of a computer-aided detection (CAD) of pulmonary nodules and a focused nodule detection task. Methods 51 chest CT examinations (24 that demonstrated subtle pulmonary nodules and 27 that demonstrated no pulmonary nodules) were read by 15 radiology residents and fellows under two experimental conditions: (1) when there were no other abnormalities present except test abnormalities in the exams (non-SOS condition), and (2) when other abnormalities were present in the exams (SOS condition). Trials from the two conditions were intermixed. Readers were invited to return for two sessions: one in which the SOS condition was repeated with a simulated CAD; another in which only the non-SOS condition was presented. Detection accuracy was measured using receiver operating characteristic (ROC) analysis. Results An SOS effect (reduced detection accuracy for the test nodules in the presence of the diverse added abnormalities) was not found. Average accuracy was much higher when the CAD prompt was provided, without cost in the detection of the added abnormalities. Accuracy for detecting nodules appearing without intermixed SOS trials was also substantially improved. Conclusions CT interpretation was highly task dependent. Nodule detection was poor in the general search task. Therefore, CAD may offer a greater performance improvement than demonstrated in experiments assessing CAD using focused search. The absence of SOS may be due to limited nodule detection even without other abnormalities. Advances in knowledge CAD prompts of nodules increase the detection accuracy of nodules and decrease the time to detection-without impairing the detection accuracy-of non-nodule abnormalities.</abstract><cop>England</cop><pmid>23239691</pmid></addata></record>
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current)
subjects Algorithms
Artificial Intelligence
Humans
Observer Variation
Pattern Recognition, Automated - methods
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Radiography, Thoracic - methods
Reproducibility of Results
Sensitivity and Specificity
Solitary Pulmonary Nodule - diagnostic imaging
title Multiple diagnostic task performance in CT examination of the chest
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