Radiography
Volume 12, Issue 3 , Pages 236-243 , August 2006

Quantifying diagnostic performance: The log odds method as a practical option

  • Maxine Haslam

      Affiliations

    • Royal Lancaster Infirmary, Ashton Road, Lancaster, Lancashire LA1 4RP, United Kingdom
    • Corresponding Author InformationCorresponding author. Tel.: +44 1524 583684.
    • ,
  • David Manning

      Affiliations

    • Division of Medical Imaging Science, St Martins College, Lancaster, Lancashire LA1, United Kingdom
    • Tel.: +44 1524 384636.

Received 10 January 2005 ,Accepted 16 May 2005.

References 

  1. Pochen EJ. The medical image perception society and the future of imaging research. Radiology. 1998;209:613–614
  2. Manning DJ. Evaluation of diagnostic performance in radiography. Radiography. 1998;5:3–15
  3. Lowe D. Data summary. In: Planning for medical research; a practical guide to research methods. Congleton (UK): Astroglobe Ltd; 1993;p. 124–7
  4. Dwyer AJ. Matchmaking and McNemar in comparison of diagnostic modalities. Radiology. 1991;178:328–330
  5. Metz C. Fundamental ROC analysis. In:  Beutel J,  Kundel H,  Van Metter R editor. Physics and psychophysics. Handbook of medical imaging. vol. 1:Bellingham, WA: SPIE publications; 2000;p. 752
  6. Oberchowski NA. Receiver operating characteristics and their use in radiology. Radiology. 2003;229:3–8
  7. Hanley JA, McNeil BJ. The meaning and use of the area under the ROC curve. Radiology. 1982;143:29–36
  8. Kundel H, Nodine C, Toto L. Eye – position study of the effects of a verbal prompt and pictorial backgrounds on the search for lung nodules in chest radiographs. In: Elizabeth Krupinski  editors. Medical imaging 1999: image perception and performance. Proceedings of SPIE. vol. 3663:1999;p. 122–128
  9. Swaving M, Van Houwelingen , Ottes F, Seerneman T. Statistical comparison of ROC curves from multiple readers. Medical Decision Making. 1996;16:143–152
  10. Ettarh R. Common descriptive and analytical statistics in investigative studies. Radiography. 2004;10:299–302
  11. Parahoo K. Nursing research – principals, process and issues. Basingstoke: Macmillan Press Ltd; 1997;
  12. Bryman A, Cramer D. Quantitative data analysis for social scientists. London: Routledge; 1994;
  13. Anthony D. Understanding advanced statistics – a guide for nurses and health care researchers. London: Churchill Livingstone; 1999;
  14. Brealey S, King DG, Crowe MTI, Crawshaw I, Ford L, Warnock NG, et al. Accident and emergency and general practitioner plain radiograph reporting by radiographers and radiologists: a quasi-randomised controlled trial. The British Journal of Radiology. 2003;76:57–61
  15. Brealey S. Measuring the effects of image interpretation: an evaluative framework. Clinical Radiology. 2001;56:341–347
  16. Tudor GR, Finlay D, Taub N. An assessment of interobserver agreement and accuracy when reporting plain radiographs. Clinical Radiology. 1997;52:235–238
  17. Loughran CF. Reporting of fracture radiographs by radiographers: the impact of a training programme. The British Journal of Radiology. 1994;67(802):945–950
  18. Rosen MJ, Sands DZ, Morris J, Drake W, Davis RB. Does a physician's ability to accurately assess the likelihood of pulmonary embolism increase with training?. Academic Medicine. 2000;75(12):1199–1205
  19. Tierney L. Current medical diagnosis and treatment. 35th ed.. London: Prentice-Hall International; 1996;
  20. Renwick IGH, Butt WP, Steele B. How well can radiographers triage X-ray films in the accident and emergency department?. British Medical Journal. 1991;302:568–569
  21. Robinson PJA. Pattern recognition and radiographer reporting. Radiography. 1998;4:155–157
  22. Hirsh J, Hull RD, Raskob GE. Diagnosis of pulmonary embolism. Journal of American College of Cardiology. 1986;8(6 Suppl. B):128B–136B
  23. Kerr S, Vinjamuri S. The radiographer and role expansion in nuclear medicine. Nuclear Medicine Communications. 2001;22:899–902
  24. Prime NJ, Tobin L, Le Masurier SB. A case study in radiographic reporting. Journal of Diagnostic Radiography and Imaging. 2001;3:185–193
  25. Gunn C. Radiographic imaging – a practical approach. 3rd ed.. Edinburgh: Churchill Livingstone; 2002;
  26. Myers KJ. Ideal observer models of visual signal detection. In:  Beutel J,  Kundel HL,  Van Metter RL editor. Physics and psychophysics. Handbook of medical imaging. vol. 1:Washington: The International Society for Optical Engineering; 2000;p. 559–587
  27. Swets JA. Measuring the accuracy of diagnostic systems. Science. 1988;3(240):1285–1293
  28. Eckstein MP, Abbey CK, Bochud FO. A practical guide to model observers for visual detection in synthetic and natural noisy images. In:  Beutel J,  Kundel HL,  Van Metter RL editor. Physics and psychophysics. Handbook of medical imaging. vol. 1:Washington: The International Society for Optical Engineering; 2000;p. 595–623
  29. Gale A. Human response to visual stimuli. In:  Hendee WR,  Wells PNT editor. The perception of visual stimuli. 2nd ed.. New York: Springer-verlag Inc.; 1997;p. 127–141

PII: S1078-8174(05)00068-4

doi: 10.1016/j.radi.2005.05.005

Radiography
Volume 12, Issue 3 , Pages 236-243 , August 2006

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