A quadratic model for combining quantitative diagnostic assessments from radiologist and computer in computer-aided diagnosis

Academic Radiology

Volumn 13, Issue 2, 2006, Pages 140-151

  Jiang, Yulei ^a   Metz, Charles E ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Computer aided diagnosis (CAD); Ideal observer performance; Quadratic classifier; Receiver operating characteristic (ROC) analysis

Indexed keywords

ARTICLE; COMPUTER AIDED DESIGN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED RADIOGRAPHY; CONFIDENCE INTERVAL; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; MAMMOGRAPHY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; THORAX RADIOGRAPHY;

ANALYSIS OF VARIANCE; BREAST NEOPLASMS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MAMMOGRAPHY; MODELS, THEORETICAL; MONTE CARLO METHOD; OBSERVER VARIATION; RADIOGRAPHY, THORACIC; RADIOLOGY; RESEARCH DESIGN; ROC CURVE; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 31044449852     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2005.11.004     Document Type: Article

References (19)

1. D.J. Getty, R.M. Pickett, C.J. D'Orsi Enhanced interpretation of diagnostic images Invest Radiol 23 1988 240 252
2. Y. Jiang, R.M. Nishikawa, R.A. Schmidt Improving breast cancer diagnosis with computer-aided diagnosis Acad Radiol 6 1999 22 33
3. H.P. Chan, B. Sahiner, M.A. Helvie Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis an ROC study Radiology 212 1999 817 827
4. Z. Huo, M.L. Giger, C.J. Vyborny Breast cancer effectiveness of computer-aided diagnosis observer study with independent database of mammograms Radiology 224 2002 560 568
5. J.A. Baker, P.J. Kornguth, J.Y. Lo Artificial neural network improving the quality of breast biopsy recommendations Radiology 198 1996 131 135
6. R.F. Wagner, S.V. Beiden, C.E. Metz Continuous versus categorical data for ROC analysis some quantitative considerations Acad Radiol 8 2001 328 334
7. C.E. Metz, J.H. Shen Gains in accuracy from replicated readings of diagnostic images prediction and assessment in terms of ROC analysis Med Decis Making 12 1992 60 75
8. R.G. Swensson, J.L. King, W.F. Good Observer variation and the performance accuracy gained by averaging ratings of abnormality Med Phys 27 2000 1920 1933
9. C. Xiong, D.W. McKeel Jr, J.P. Miller Combining correlated diagnostic tests application to neuropathologic diagnosis of Alzheimer's disease Med Decis Making 24 2004 659 669
10. C.E. Metz, P.-L. Wang, H.B. Kronman Martinus Nijhoff Publishers A new approach for testing the significance of differences between ROC curves measured from correlated data F. Deconinck Information processing in medical imaging 1984 Nijhoff The Hague 432 445
11. J.A. Swets Form of empirical ROCs in discrimination and diagnostic tasks implications for theory and measurement of performance Psychol Bull 99 1986 181 198
12. J.A. Hanley The robustness of the "binormal" assumptions used in fitting ROC curves Med Decis Making 8 1988 197 203
13. A. Papoulis Probability, random variables, and stochastic processes 1991 WCB/McGraw-Hill New York
14. C.E. Metz, B.A. Herman, C.A. Roe Statistical comparison of two ROC-curve estimates obtained from partially-paired datasets Med Decis Making 18 1998 110 121
15. K. Nakamura, H. Yoshida, R. Engelmann Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks Radiology 214 2000 823 830
16. D.D. Dorfman, K.S. Berbaum, C.E. Metz Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method Invest Radiol 27 1992 723 731
17. W.L. Hays Statistics 1994 Harcourt Brace College Publishers New York
18. H.P. Chan, B. Sahiner, R.F. Wagner Classifier design for computer-aided diagnosis effects of finite sample size on the mean performance of classical and neural network classifiers Med Phys 26 1999 2654 2668
19. B. Liu, C.E. Metz, Y. Jiang An ROC comparison of four methods of combining information from multiple images of the same patient Med Phys 31 2004 2552 2563