Computer-aided detection of solid lung nodules on follow-up MDCT screening: Evaluation of detection, tracking, and reading time

American Journal of Roentgenology

Volumn 189, Issue 4, 2007, Pages 948-955

  Beigelman Aubry, Catherine ^a   Raffy, Philippe ^b,c   Yang, Wenjie ^a   Castellino, Ronald A ^b   Grenier, Philippe A ^a  

^a PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^b HOLOGIC INC   (United States)

^c Vital Images   (United States)

Author keywords

Computer aided detection (CAD); Follow up CT; High resolution MDCT; Lung nodules; Reading time

Indexed keywords

ADULT; AGED; ANTIBIOTIC THERAPY; ARTICLE; CLINICAL EXAMINATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; FEMALE; FOLLOW UP; HUMAN; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; MASS SCREENING; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; RADIOLOGIST; SENSITIVITY ANALYSIS; STATISTICAL SIGNIFICANCE; THORAX RADIOGRAPHY;

AGED; AGED, 80 AND OVER; ARTIFICIAL INTELLIGENCE; COIN LESION, PULMONARY; FEMALE; FOLLOW-UP STUDIES; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE AND ANALYSIS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34748836875     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/AJR.07.2302     Document Type: Article

References (38)

1. Ko JP, Naidich DP. Computer-aided diagnosis and the evaluation of lung disease. J Thorac Imaging 2004; 19:136-155
2. Doi K. Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol 2005; 78[spec no 1]:S3-S19
3. Armato SG 3rd, Li F, Giger ML, MacMahon H, Sone S, Doi K. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology 2002; 225:685-692
4. Novak CL, Fan L, Qian J, Wei G, Nadich DP. Identification of missed pulmonary nodules on low-dose CT lung cancer screening studies using an automatic detection system. (abstr) Proceedings of the SPIE. Bellingham, WA: SPIE, 2003:439-447
5. Novak CL, Qian J, Fan L, et al. Interobserver variations on interpretation of multislice CT lung cancer screening studies and the implications for computer-aided diagnosis. Proceedings of the SPIE. Bellingham, WA: SPJE, 2002:68-69
6. 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
7. Miller DP, Burns RB, Schneider AC, O'Shaughnessy KF, Wood SA, Castellino RA. A multi-reader, multi-case ROC study demonstrating improved performance detecting lung nodules using computer-aided detection (CAD) in multi-slice CT (MSCT) of the chest. (abstr) Annual meeting of the Radiological Society of North America. Chicago, IL: Radiological Society of North America, 2003:291-292
8. Peldschus K, Herzog P, Wood SA, Cheema JI, Costello P, Schoepf UJ. Computer-aided diagnosis as a second reader: spectrum of findings in CT studies of the chest interpreted as normal. Chest 2005; 128:1517-1523
9. 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
10. Yuan R, Vos PM, Cooperberg PL. Computer-aided detection in screening CT for pulmonary nodules. AJR 2006; 186:1280-1287
11. Giger ML, Bae KT, MacMahon H. Computerized detection of pulmonary nodules in computed tomography images. Invest Radiol 1994; 29:459-465
12. Armato SG 3rd, Giger ML, Moran CJ, Blackburn JT, Doi K, MacMahon H. Computerized detection of pulmonary nodules on CT scans. RadioGraphics 1999; 19:1303-1311
13. Ko JP, Betke M. Chest CT: automated nodule detection and assessment of change over time - preliminary experience. Radiology 2001; 218:267-273
14. Armato SG 3rd, Giger ML, MacMahon H. Automated detection of lung nodules in CT scans: preliminary results. Med Phys 2001; 28:1552-1561
15. Brown MS, McNitt-Gray MF, Goldin JG, Suh RD, Sayre JW, Aberle DR. Patient-specific models for lung nodule detection and surveillance in CT images. IEEE Trans Med Imaging 2001; 20:1242-1250
16. Kanazawa K, Kawata Y, Niki N, et al. Computer-aided diagnosis for pulmonary nodules based on helical CT images. Comput Med Imaging Graph 1998; 22:157-167
17. Gurcan MN, Sahiner B, Petrick N, et al. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med Phys 2002; 29:2552-2558
18. Wormanns D, Fiebich M, Saidi M, Diederich S, Heindel W. Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system. Eur Radiol 2002; 12:1052-1057
19. Qian J, Fan L, Wei G, et al. Knowledge-based automatic detection of multi-type lung nodules from multi-detector CT studies. (abstr) Proceedings of the SPIE. Bellingham, WA: SPJE, 2002:689-697
20. MacMahon H, Austin JH, Gamsu G, et al. Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society. Radiology 2005; 237:395-400
21. Erasmus JJ, Gladish GW, Broemeling L, et al. Interobserver and intraobserver variability in measurement of non-small cell carcinoma lung lesions: implications for assessment of tumor response. J Clin Oncol 2003; 21:2574-2582
22. Schwartz LH, Ginsberg MS, DeCorato D, et al. Evaluation of tumor measurements in oncology: use of film-based and electronic techniques. J Clin Oncol 2000; 18:2179-2184
23. Revel MP, Lefort C, Bissery A, et al. Pulmonary nodules: preliminary experience with three-dimensional evaluation. Radiology 2004; 231:459-466
24. Yankelevitz DF, Reeves AP, Kostis WJ, Zhao B, Henschke CI. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology 2000; 217:251-256
25. Wormanns D, Kohl G, Klotz E, et al. Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility. Eur Radiol 2004; 14:86-92
26. Blanchon T, Lukasiewicz-Hajage E, Lemairé E, et al. DEPISCAN: a pilot study to evaluate low dose spiral CT scanning as a screening method for bronchial carcinoma [in French]. Rev Mal Respir 2002; 19:701-705
27. Therasse P, Arbuck SG, Eisenhauer EA, et al. New guidelines to evaluate the response to treatment in solid tumors: European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 2000; 92:205-216
28. Goodman LR, Gulsun M, Washington L, Nagy PG, Piacsek KL. Inherent variability of CT lung nodule measurements in vivo using semiautomated volumetric measurements. AJR 2006; 186:989-994
29. Revel MP, Merlin A, Peyrard S, et al. Software volumetric evaluation of doubling times for differentiating benign versus malignant pulmonary nodules. AJR 2006; 187:135-142
30. Cochran WG. Some methods for strengthening the common chi-square test. Biometrics 1954; 10:417-451
31. Brochu B, Beigelman-Aubry C, Goldmard JL, Raffy P, Grenier PA, Lucidarme O. Computer-aided detection of lung nodules on thin collimation MDCT: impact on radiologists' performance [in French]. J Radiol 2007; 88:573-578
32. 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 2005; 237:684-690
33. Shen H, Fan L, Qian J, Odry B, Novak C, Nadich D. Performance of an automatic system for nodule correspondence in follow-up CT studies of the lung. (abstr) Annual meeting of the Radiological Society of North America. Chicago, IL: Radiological Society of North America, 2002:476
34. Ma F, Chui H, Schneider A, Wood S, Judy P. Performance evaluation of an automatic lung nodules monitoring/management system. (abstr) Annual meeting of the Radiological Society of North America. Chicago, IL: Radiological Society of North America, 2004:290
35. Betke M, Hong H, Thomas D, Prince C, Ko JP. Landmark detection in the chest and registration of lung surfaces with an application to nodule registration. Med Image Anal 2003; 7:265-281
36. Fetita C, Preteux F, Beigelman-Aubry C, Jauffret E, Grenier P. 3D ANDALUS: a new software package for 3D automated nodule detection and analysis in CT lung screening. (abstr) Annual meeting of the Radiological Society of North America. Chicago, IL: Radiological Society of North America, 2003:293
37. Ochs R, Angel E, Boedeker K, Petkovska I. The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. (abstr) Proceedings of the SPIE. Bellingham, WA: SPIE, 2006:1886-1893
38. Das M, Salganicoff M, Muhlenbruch G, et al. Sensitivity of computer-aided detection software for pulmonary nodules in low-dose vs. full dose MDCT chest examinations. (abstr) Annual meeting of the European Congress of Radiology. Umeå, Sweden, 2006:221