Effect of CAD on Radiologists' Detection of Lung Nodules on Thoracic CT Scans: Analysis of an Observer Performance Study by Nodule Size

Academic Radiology

Volumn 16, Issue 12, 2009, Pages 1518-1530

  Sahiner, Berkman ^a   Chan, Heang Ping ^a   Hadjiiski, Lubomir M ^a   Cascade, Philip N ^a   Kazerooni, Ella A ^a   Chughtai, Aamer R ^a   Poopat, Chad ^b   Song, Thomas ^b   Frank, Luba ^a   Stojanovska, Jadranka ^a   Attili, Anil ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b HENRY FORD HOSPITAL   (United States)

Author keywords

computer aided detection; CT; Lung Nodule

Indexed keywords

ARTICLE; CLINICAL PRACTICE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FALSE POSITIVE RESULT; HUMAN; JACKKNIFE TEST; LUNG NODULE; MEDICAL PRACTICE; PRIORITY JOURNAL; RADIODIAGNOSIS; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY;

AGED; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 70350462590     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2009.08.006     Document Type: Article

References (49)

1. Henschke C.I., Yankelevitz D.F., Libby D.M., et al. Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med 355 (2006) 1763-1771
2. Bach P.B., Jett J.R., Pastorino U., et al. Computed tomography screening and lung cancer outcomes. JAMA 297 (2007) 953-961
3. Buckley J.A., Scott W.W., Siegelman S.S., et al. Pulmonary nodules: effect of increased data sampling on detection with spiral CT and confidence in diagnosis. Radiology 196 (1995) 395-400
4. Ko J.P., and Naidich D.P. Lung nodule detection and characterization with multislice CT. Radiol Clin North Am 41 (2003) 575-597
5. Sone S., Yang Z.G., Takashima S., et al. Characteristics of small lung cancers invisible on conventional chest radiography and detected by population based screening using spiral CT. Br J Radiol 73 (2000) 137-145
6. Fischbach F., Knollmann F., Griesshaber V., Freund T., Akkol E., and Felix R. Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness. Eur Radiol 13 (2003) 2378-2383
7. Cagnon C.H., Cody D.D., McNitt-Gray M.F., et al. Description and implementation of a quality control program in an imaging-based clinical trial. Acad Radiol 13 (2006) 1431-1441
8. Xu D.M., van Klaveren R.J., de Bock G.H., et al. Limited value of shape, margin and CT density in the discrimination between benign and malignant screen detected solid pulmonary nodules of the NELSON trial. Eur J Radiol 68 (2008) 347-352
9. Veronesi G., Bellomi M., Mulshine J.L., et al. Lung cancer screening with low-dose computed tomography: a non-invasive diagnostic protocol for baseline lung nodules. Lung Cancer 61 (2008) 340-349
10. Reeves A.P., and Kostis W.J. Computer-aided diagnosis for lung cancer. Radiol Clin North Am 38 (2000) 497-509
11. Gurcan M.N., Sahiner B., Petrick N., et al. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med Phys 29 (2002) 2552-2558
12. Wormanns D., Fiebich M., Saidi M., Diederich S., and Heindel W. Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system. Eur Radiol 12 (2002) 1052-1057
13. Brown M.S., Goldin J.G., Suh R.D., et al. Lung micronodules: automated method for detection at thin-section CT - initial experience. Radiology 226 (2003) 256-262
14. Suzuki K., Armato S.G., Li F., et al. Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys 30 (2003) 1602-1617
15. Armato S.G., Roy A.S., MacMahon H., et al. Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program. Acad Radiol 12 (2005) 337-346
16. Bae K.T., Kim J.-S., Na Y.-H., et al. Pulmonary nodules: automated detection on CT images with morphologic matching algorithm-preliminary results. Radiology 236 (2005) 286-293
17. Lee J.W., Goo J.M., Lee H.J., et al. The potential contribution of a computer-aided detection system for lung nodule detection in multidetector row computed tomography. Investig Radiol 39 (2004) 649-655
18. Yuan R., Vos P.M., and Cooperberg P.L. Computer-aided detection in screening CT for pulmonary nodules. AJR Am J Roentgenol 186 (2006) 1280-1287
19. Rubin G.D., Lyo J.K., Paik D.S., et al. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology 234 (2005) 274-283
20. Awai K., Murao K., Ozawa A., et al. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. Radiology 230 (2004) 347-352
21. Li F., Arimura H., Suzuki K., et al. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology 237 (2005) 684-690
22. Brown M.S., Goldin J.G., Rogers S., et al. Computer-aided lung nodule detection in CT results of large-scale observer test. Acad Radiol 12 (2005) 681-686
23. Das M., Muhlenbruch G., Mahnken A.H., et al. Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. Radiology 241 (2006) 564-571
24. Bazzocchi M., Mazzarella F., Del Frate C., et al. CAD systems for mammography: a real opportunity? A review of the literature. Radiol Med 112 (2007) 329-353
25. Chan H.P., Hadjiiski L.M., Zhou C., et al. Computer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review. Acad Radiol 15 (2008) 535-555
26. Taylor S.A., Charman S.C., Lefere P., et al. CT colonography: investigation of the optimum reader paradigm by using computer-aided detection software. Radiology 246 (2008) 463-471
27. Armato S.G., McLennan G., McNitt-Gray M.F., et al. Lung Image Database Consortium: developing a resource for the medical imaging research community. Radiology 232 (2004) 739-748
28. Henschke C.I., McCauley D.I., Yankelevitz D.F., et al. Early lung cancer action project: overall design and findings from baseline screening. Lancet 354 (1999) 99-105
29. Swensen S.J., Jett J.R., Hartman T.E., et al. Lung cancer screening with CT: Mayo Clinic experience. Radiology 226 (2003) 756-761
30. Diederich S., Wormanns D., Semik M., et al. Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers. Radiology 222 (2002) 773-781
31. McNitt-Gray M.F., Armato S.G., Meyer C.R., et al. The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Acad Radiol 14 (2007) 1464-1474
32. Sahiner B., Hadjiiski L.M., Chan H.P., et al. Computerized lung nodule detection on screening CT scans: performance on juxta-pleural and internal nodules. Proc SPIE 6144 (2006) 5S1-5S6
33. Way T.W., Hadjiiski L.M., Sahiner B., et al. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours. Med Phys 33 (2006) 2323-2337
34. Ge Z., Sahiner B., Chan H.P., et al. Computer aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting. Med Phys 32 (2005) 2443-2454
35. Sahiner B., Hadjiiski L.M., Chan H.P., et al. The effect of nodule segmentation on the accuracy of computerized lung nodule detection on CT scans: comparison on a dataset annotated by multiple radiologists. Proc SPIE 6514 (2007) 65140L-65141, 65147
36. Bunch P.C., Hamilton J.F., Sanderson G.K., and Simmons A.H. A free response approach to the measurement and characterization of radiographic observer performance. J Appl Photo Engr 4 (1978) 166-171
37. Chakraborty D.P. Validation and statistical power comparison of methods for analyzing free-response observer performance studies. Acad Radiol 15 (2008) 1554-1566
38. Chakraborty D.P., and Winter L.H.L. Free-response methodology: alternate analysis and a new observer-performance experiment. Radiology 174 (1990) 873-881
39. Chakraborty D.P., and Berbaum K.S. Observer studies involving detection and localization: modeling, analysis, and validation. Med Phys 31 (2004) 2313-2330
40. Nishikawa R.M., Kallergi M., and Orton C.G. Computer-aided detection, in its present form, is not an effective aid for screening mammography. Med Phys 33 (2006) 811-814
41. Karssemeijer N., Otten J.D., Rijken H., et al. Computer aided detection of masses in mammograms as decision support. Br J Radiol 79 (2006) S123-S126
42. Zheng B., Swensson R.G., Golla S., et al. Detection and classification performance levels of mammographic masses under different computer-aided detection cueing environments. Acad Radiol 11 (2004) 398-406
43. Manning D.J., Ethell S.C., and Donovan T. Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph. Br J Radiol 77 (2004) 231-235
44. Karssemeijer N., Hupse A., Samulski M., et al. An interactive computer aided decision support system for detection of masses in mammograms. In: Krupinski E.A. (Ed). 9th International Workshop on Digital Mammography (2008), Springer-Verlag, Tucson, AZ Berlin 273-278
45. Ochs R., Angel E., Boedeker K., et al. The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Proc SPIE 6144 (2006) 5W1-5W8
46. Boedeker K.L., and McNitt-Gray M.F. Tradeoffs in noise, resolution, and dose with reconstruction filter in lung nodule detection in CT. Proc SPIE 5745 (2005) 695-703
47. MacMahon H., Austin J.H.M., Gamsu G., et al. Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society. Radiology 237 (2005) 395-400
48. Marten K., Engelke C., Seyfarth T., et al. Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance. Clin Radiol 60 (2005) 196-206
49. Revesz G., Kundel H.L., and Bonitatibus M. The effect of verification on the assessment of imaging techniques. Investig Radiol 18 (1983) 194-198