How do radiologists do it? The influence of experience and training on searching for chest nodules

References 

1. Department of Health . The NHS plan: a plan for investment. A plan for reform. GB Stationery Office; 2000;
2. Department of Health . Meeting the challenge. A strategy for the allied health professions. GB Stationery Office; 2000;
3. The Royal College of Radiologists . Clinical radiology: a workforce in crisis. London: The Royal College of Radiologists; 2002;
4. Robinson PAJ. Radiology's Achilles heel: error and variation in the interpretation of the Roentgen image. British Journal of Radiology. 1997;70:1085–1098
5. Tudor GR, Finlay DB. Is there an improvement in performance when radiographs are reported at 24 h?. British Journal of Radiology. 1999;72:464–468
6. Audit Commission . Improving your image 58–9. London: HMSO; 1995;
7. Manning DJ, Ethell SC. Lesion conspicuity and AFROC performance in pulmonary nodule detection. In:  Chakraborty D,  Krupinski E editor. Image perception, observer performance, and technology assessment. vol. 4686:Washington: SPIE; 2002;p. 300–311
8. Manning DJ, Ethell SC, Donovan T. Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph. British Journal of Radiology. 2004;77:231–235
9. Zerhouni EA. Computed tomography of parenchymal lung disease. In:  Higgins C,  Petterson H editor. Chest & cardiac radiology. vol. 1:London: Merit Communications; 1991;
10. Gur D, Rockette HE, Warfel T, Lacomis JM, Fuhrman CR. From the laboratory to the clinic: the ‘prevalence effect’. Acad Radiol. 2003;10:1324–1326
    • Full Text
    • Full-Text PDF (34 KB)
    • CrossRef
11. Chakraborty DP. The FROC, AFROC and DROC variants of the ROC analysis. In:  Beutel J,  Kundel HL,  Van Metter RL editor. Handbook of medical imaging. Bellingham, WA: SPIE; 2000;p. 771–796
12. Nodine C, Krupinski E. Perceptual skill, radiology expertise, and visual test performance with NINA and WALDO. Acad Radiol. 1998;5:603–612
    • Abstract
    • Full-Text PDF (4027 KB)
    • CrossRef
13. Esserman L, Cowley H, Eberle C, Kirkpatrick A, Chang S, Berbaum K. Improving the accuracy of mammography: volume and outcome relationships. J Natl Cancer Inst. 2002;94:369–375
    • MEDLINE
14. Krupinski EA. The future of image perception in radiology. Acad Radiol. 2003;10:1–3
    • Full Text
    • Full-Text PDF (5 KB)
    • CrossRef
15. Gunderman R, Williamson K, Fraley R, Steele J. Expertise: implications for radiological education. Acad Radiol. 2001;8:1252–1256
    • Full Text
    • Full-Text PDF (70 KB)
    • CrossRef
16. Carmody DP, Kundel HL, Toto LC. Comparison scans while reading chest images: taught but not practiced. Invest Radiol. 1984;19:462–466
    • MEDLINE
    • CrossRef
17. Kundel HL. Reader error, object recognition and visual search, in medical imaging 2004: image perception, observer performance and technology assessment. In:  Chakraborty D,  Eckstein M editor. Proceedings of SPIE. vol. 5372:2004;p. 1–9
18. Friedman PJ. Past and future of radiological error, in medical imaging 1999: image perception and performance. In:  Krupinski E editors. Proceedings of SPIE. vol. 3663:1999;p. 2–5
19. Yarbus AL. Eye movements and vision. New York: Plenum Press; 1967;
20. Nodine CF, Kundel HL, Mello-Thoms C. How experience and training influence mammography expertise. Acad Radiol. 1999;6:575–585
    • Abstract
    • Full-Text PDF (1776 KB)
    • CrossRef
21. In:  Bransford JD,  Brown AL,  Cocking RR editor. How people learn: brain, mind, experience and school. Washington, DC: National Academy; 2000;