Influence of nodule detection software on radiologists' confidence in identifying pulmonary nodules with computed tomography

Journal of Thoracic Imaging

Volumn 26, Issue 1, 2011, Pages 48-53

  Nietert, Paul J ^a   Ravenel, James G ^a   Taylor, Katherine K ^b   Silvestri, Gerard A ^b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

clinical decision making; computed tomography scan; diagnostic errors; diagnostic imaging; lung neoplasm

Indexed keywords

ARTICLE; CLINICAL ASSESSMENT; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; CONFIDENCE INTERVAL; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; HUMAN; LINEAR REGRESSION ANALYSIS; LUNG NODULE; MAJOR CLINICAL STUDY; MULTIVARIATE ANALYSIS; NODULE DETECTION SOFTWARE; RADIOLOGIST; THORAX RADIOGRAPHY;

DIAGNOSTIC ERRORS; HUMANS; LUNG NEOPLASMS; OBSERVER VARIATION; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOFTWARE; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79551565198     PISSN: 08835993     EISSN: None     Source Type: Journal    
DOI: 10.1097/RTI.0b013e3181d73a8f     Document Type: Article

References (13)

1. Shiau MC, Bonavita J, Naidich DP. Adenocarcinoma of the lung: current concepts in radiologic diagnosis and management. Curr Opin Pulm Med. 2007;13:261-266.
2. Hirose T, Nitta N, Shiraishi J, et al. Evaluation of computeraided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy. Acad Radiol. 2008;15:1505-1512.
3. Awai K, Murao K, Ozawa A, et al. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. Radiology. 2004;230:347-352.
4. White CS, Pugatch R, Koonce T, et al. Lung nodule CAD software as a second reader: a multicenter study. Acad Radiol. 2008;15:326-333.
5. Rubin GD, Lyo JK, Paik DS, et al. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology. 2005;234:274-283.
6. Das M, Muhlenbruch G, Mahnken AH, et al. Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. Radiology. 2006;241:564-571.
7. Li F, Li Q, Engelmann R, et al. Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Acad Radiol. 2006;13:943-950.
8. Alberdi E, Povykalo A, Strigini L, et al. Effects of incorrect computer-aided detection (CAD) output on human decisionmaking in mammography. Acad Radiol. 2004;11:909-918.
9. Chan HP, Sahiner B, Helvie MA, et al. Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study. Radiology. 1999;212:817-827.
10. Fenton JJ, Taplin SH, Carney PA, et al. Influence of computeraided detection on performance of screening mammography. N Engl J Med. 2007;356:1399-1409.
11. Armato SG 3rd, Roberts RY, Kocherginsky M, et al. Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth." Acad Radiol. 2009;16:28-38.
12. Freedman MT. Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD true positive/false negative detections on radiologists' confidence level. Proc SPIE. 2004;5372: DOI:10.1117/1112.536157.
13. Taylor SA, Halligan S, Slater A, et al. Comparison of radiologists' confidence in excluding significant colorectal neoplasia with multidetector-row CT colonography compared with double contrast barium enema. Br J Radiol. 2006;79:208-215.