EXCEEDTHE SPACE PROVIDED. ~ ~~ ~~ The long-term objective of this proposal is to understandthe perception of multiple abnormalities in an imaging examinationand to developstrategies for improveddiagnostic accuracyand patient outcome.We are one of the few laboratories in the world pursuing the goal of reducing detection errors through a better understandingof the underlying perceptual processesinvolved. Failureto detect an abnormality is the mostcommon classof error in diagnostic imagingand generally is considered the most serious bythe medicalcommunity. Manyof these errors have been attributed to ?satisfaction of search,? which occurswhen a lesion is not reported becausediscovery of another abnormality has ?satisfied? the goal of the search. Although we have gainedsome understandingof the mechanismsof satisfaction of search (SOS),there are significant questions that remain. The failure of human pattern recognition underlying satisfaction of searcherror has not been explained. Our previous researchmay offer the key: the clinical importanceof abnormalities may determinehow much they interfere with detection of other abnormalities. Helicalcomputedtomography(CT) may replace radiographyas the most common and usefulradiologyexamination becauseit offers more accurate and earlier lesion detection. But the large number of images producedby modern CT and other cross-sectional modalities may quickly overload the radiologists' perceptual resources, creating increased risk of satisfaction of search error. There have been no experimental studies of SOS error in the advanced imaging. There arefew interventions that hold promiseto remedySOS error. The goal of computer-aideddiagnosis is to improvecancer detection. Whether computer-aideddiagnosis can reduce SOS error has not been consideredor studied until now. We propose six definitive experimentsto approach the complex questions that remain. The research methodswill include experimentsusing analysis of receiver operating characteristic curves, the time course of detection responses and termination of search, and display commands issued by the observerto interrogate the image data array. The knowledge gainedfrom this programmaticresearch will lead to reduction in observer error.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Research Project (R01)
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Study Section
Special Emphasis Panel (ZRG1-SRB (34))
Program Officer
Cohen, Zohara
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University of Iowa
Schools of Medicine
Iowa City
United States
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Berbaum, Kevin S; Krupinski, Elizabeth A; Schartz, Kevin M et al. (2016) The Influence of a Vocalized Checklist on Detection of Multiple Abnormalities in Chest Radiography. Acad Radiol 23:413-20
Schartz, Kevin M; Madsen, Mark T; Kim, John et al. (2016) Trauma in CT: The Role of Severe Injury on Satisfaction of Search Revised. J Am Coll Radiol 13:973-978.e4
Berbaum, Kevin S; Krupinski, Elizabeth A; Schartz, Kevin M et al. (2015) Satisfaction of Search in Chest Radiography 2015. Acad Radiol 22:1457-65
Schartz, K M; Berbaum, K S; Madsen, M T et al. (2013) Multiple diagnostic task performance in CT examination of the chest. Br J Radiol 86:18244135
Berbaum, Kevin S; Schartz, Kevin M; Caldwell, Robert T et al. (2013) Satisfaction of search from detection of pulmonary nodules in computed tomography of the chest. Acad Radiol 20:194-201
Berbaum, Kevin S; Schartz, Kevin M; Caldwell, Robert T et al. (2012) Satisfaction of search for subtle skeletal fractures may not be induced by more serious skeletal injury. J Am Coll Radiol 9:344-51
Berbaum, Kevin S; Franken Jr, Edmund A (2011) Satisfaction of search in radiographic modalities. Radiology 261:1000-1; author reply 1001-2
Berbaum, Kevin S; Caldwell, Robert T; Schartz, Kevin M et al. (2007) Does computer-aided diagnosis for lung tumors change satisfaction of search in chest radiography? Acad Radiol 14:1069-76
Berbaum, Kevin S; El-Khoury, George Y; Ohashi, Kenjirou et al. (2007) Satisfaction of search in multitrauma patients: severity of detected fractures. Acad Radiol 14:711-22
Madsen, Mark T; Berbaum, Kevin S; Ellingson, Andrew N et al. (2006) A new software tool for removing, storing, and adding abnormalities to medical images for perception research studies. Acad Radiol 13:305-12

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