Book contents
- The Handbook of Medical Image Perception and Techniques, Second Edition
- Reviews
- The Handbook of Medical Image Perception and Techniques
- Copyright page
- Dedication
- Contents
- Contributors
- 1 Medical Image Perception
- Part I Historical Reflections and Theoretical Foundations
- Part II Science of Image Perception
- 8 Perceptual Factors in Reading Medical Images
- 9 Cognitive Factors in Reading Medical Images: Thinking Processes in Image Interpretation
- 10 Satisfaction of Search in Radiology
- 11 Acquiring Expertise in Radiologic Image Interpretation
- 12 The First Moments of Medical Image Perception
- 13 Image Quality and Its Clinical Relevance
- Part III Perception Metrology
- Part IV Clinical Performance Assessment
- Part V Computational Perception
- Part VI Applied Perception
- Index
- References
9 - Cognitive Factors in Reading Medical Images: Thinking Processes in Image Interpretation
from Part II - Science of Image Perception
Published online by Cambridge University Press: 20 December 2018
Book contents
- The Handbook of Medical Image Perception and Techniques, Second Edition
- Reviews
- The Handbook of Medical Image Perception and Techniques
- Copyright page
- Dedication
- Contents
- Contributors
- 1 Medical Image Perception
- Part I Historical Reflections and Theoretical Foundations
- Part II Science of Image Perception
- 8 Perceptual Factors in Reading Medical Images
- 9 Cognitive Factors in Reading Medical Images: Thinking Processes in Image Interpretation
- 10 Satisfaction of Search in Radiology
- 11 Acquiring Expertise in Radiologic Image Interpretation
- 12 The First Moments of Medical Image Perception
- 13 Image Quality and Its Clinical Relevance
- Part III Perception Metrology
- Part IV Clinical Performance Assessment
- Part V Computational Perception
- Part VI Applied Perception
- Index
- References
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- Information
- The Handbook of Medical Image Perception and Techniques , pp. 107 - 120Publisher: Cambridge University PressPrint publication year: 2018
References
Berbaum, K.S., Caldwell, R.T., Schartz, K.M., Thompson, B.H., Franken, E.A. (2007). Does CAD for lung tumors change satisfaction of search in chest radiography? Acad Radiol, 14, 1069–1076.Google Scholar
Beutel, J., Kundel, H.L., Van Metter, R.L. (eds.) (2000). Handbook of Medical Imaging. Bellingham, WA: SPIE Press.Google Scholar
Bracamonte, E., Gibson, B.A., Klein, R., Krupinski, E.A., Weinstein, R.S. (2016). Communicating uncertainty in surgical pathology reports: a survey of staff physicians and residents at an academic medical center. Acad Pathol, 3, 1–7.Google Scholar
Bryant, G., Norman, G. (1980). Expressions of probability. Words and numbers. N Engl J Med, 302, 411.Google Scholar
Chang, P.J. (1989) Bayesian analysis revisited: a radiologist’s survival guide. AJR, 152, 721–727.CrossRefGoogle ScholarPubMed
Chen, P., Mohan, S., Cook, T., Nasrallah, I., Bryan, R., Botzolakis, E. (2016). Development of a novel Bayesian network interface for radiology diagnosis support and education. Radiological Society of North America 2016 Scientific Assembly and Annual Meeting, November 27 - December 2, 2016, Chicago IL. www.archive.rsna.org/2016/16010460.html (accessed December 1, 2016).Google Scholar
Donovan, T.., Manning, D. (2007). The radiology task: Bayesian theory and perception. Br J Radiol, 80, 389–391.Google Scholar
Donovan, T., Manning, D., Phillips, P., Higham, S., Crawford, T. (2005). The role of peripheral vision in a fracture detection task. Paper presented at the Medical Image Perception Society XI Conference, Lake Windermere, England.Google Scholar
Eddy, D. (1982). Probabilistic reasoning in clinical medicine. In: Kahneman, D., Slovic, P., Tversky, A. (eds.) Judgment Under Uncertainty: Heuristics and Biases. Cambridge, England: Cambridge University Press, pp. 231–259.Google Scholar
Elkins, J. (1996). The Object Stares Back. On the Nature of Seeing. New York, NY: Harcourt.Google Scholar
Ellis, A., Young, A. (1996). Human Cognitive Neuropsychology: A Textbook with Readings. New York, NY: Psychology Press.Google Scholar
Esserman, L., Cowley, H., Eberle, C., Kirkpatrick, A., Chang, S., Berbaum, K., Gale, A. (2002). Improving the accuracy of mammography: volume and outcome relationships. J Natl Cancer Inst, 94, 369–375.Google Scholar
Evans, K.K., Haygood, T.M., Cooper, J., Culpand, A.M., Wolfe, J.M. (2016). A half-second glimpse often lets radiologists identify breast cancer cases even when viewing the mammogram of the opposite breast. Proc Natl Acad Sci, 113, 10292–10297.Google Scholar
Frith, C. (2007). Making up the Mind – How the Brain Creates our Mental World. Oxford, England: Blackwell.Google Scholar
Graber, M.L., Franklin, N., Gordon, R. (2005). Diagnostic error in internal medicine. Arch Intern Med, 165, 1493–1499.Google Scholar
Gunderman, R., Williamson, K., Fraley, R., Steele, J. (2001). Expertise: implications for radiological education. Acad Radiol, 8, 1252–1256.Google Scholar
Herring, W. (2007). Learning Radiology. Recognizing the Basics. Philadelphia, PA: Mosby Elsevier.Google Scholar
Hobby, J., Tom, B., Todd, C., Bearcroft, P., Dixon, A. (2000). Communication of doubt and certainty in radiological reports. Br J Radiol, 73, 999–1001.Google Scholar
Kahneman, D. (2011). Thinking, Fast and Slow. New York, NY: Farrar, Straus and Giroux.Google Scholar
Kundel, H. (2000). Visual search in medical images. In: Buetel, J., Kundel, H., Van Metter, R. (eds.) Handbook of Medical Imaging. Bellingham, WA: SPIE Press, pp. 129–138.Google Scholar
Kundel, H. (2006). History of research in medical image perception. J Am Coll Radiol, 3, 402–408.Google Scholar
Kundel, H., Nodine, C. (1975). Interpreting chest radiographs without visual search. Radiology, 116, 527–532.CrossRefGoogle ScholarPubMed
Kundel, H., Nodine, C. (1983). A visual concept shapes image perception. Radiology, 146, 363–368.Google Scholar
Lee, C.S., Nagy, P.G., Weaver, S.J., Newman-Toker, D.E. (2013). Cognitive and system factors contributing to diagnostic errors in radiology. AJR, 201, 611–617.Google Scholar
Lesgold, A.M., Rubinson, H., Feltovitch, P., Glaser, R., Klopfer, D., Wang, Y. (1988). Expertise in a complex skill: diagnosing X-ray pictures. In: Chi, M.T.H., Glaser, R., Farr, M.J. (eds.) The Nature of Expertise. Hillsdale, NJ: Lawrence Erlbaum, pp. 311–342.Google Scholar
Litchfield, D., Donovan, T. (2016). Worth a quick look? Initial scene previews can guide eye movements as a function of domain-specific expertise but can also have unforeseen costs. J Exp Psych: Human Percep Perfor, 7, 982–994.Google Scholar
Manning, D., Ethell, S., Donovan, T. (2004). Detection or decision errors? Missed lung cancer from the PA chest radiograph. Br J Radiol, 77, 231–235.Google Scholar
Manning, D., Gale, A., Krupinski, E. (2005). Perception research in medical imaging. Br J Radiol, 78, 683–685.Google Scholar
Marr, D. (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. San Francisco, CA: W.H. Freeman.Google Scholar
Maxwell, C. (1978). Sensitivity and accuracy of the visual analogue scale: a psycho-physics classroom experiment. Br J Clin Pharm, 6, 15–24.Google Scholar
McCormack, H., Horne, D., Sheather, S. (1988). Clinical applications of visual analogue scales: a critical review. Psychol Med, 18, 1007–1019.Google Scholar
Nodine, C., Krupinski, E.A. (1998). Perceptual skill, radiology expertise and visual test performance with NINA and WALDO. Acad Radiol, 5, 603–612.Google Scholar
Nodine, C.F., Kundel, H.L. (1987). Using eye movements to study visual search and to improve tumor detection. RadioGraphics, 7, 1241–1250.Google Scholar
Nodine, C., Mello-Thoms, C. (2000). The nature of expertise in radiology. In: Buetel, J., Kundel, H., Van Metter, R. (eds.) Handbook of Medical Imaging. Bellingham, WA: SPIE Press, pp. 859–894.Google Scholar
Philips, P.W. (2010). Eye-tracking the interpretation of CT colonography. PhD thesis, Lancaster University, Lancaster, UK.Google Scholar
Pinto, A., Brunese, L. (2010). Spectrum of diagnostic errors in radiology. World J Radiol, 2, 377–383.CrossRefGoogle ScholarPubMed
Ramachandran, V. (2003). BBC Reith lectures. The emerging mind. www.bbc.co.uk/radio4/reith2003/ (accessed December 1, 2016).Google Scholar
Ratwani, R.M., Trafton, J.G., Boehm-Davis, D.A. (2008). Thinking graphically: connecting vision and cognition during graph comprehension. J Exp Psychol Appl, 1, 36–49.Google Scholar
Robinson, P. (1989). Lung scintigraphy – doubt and uncertainty in the diagnosis of pulmonary embolism. Clin Radiol, 40, 557–560.Google Scholar
Robinson, P. (1997). Radiology’s Achilles’ heel: error and variation in the interpretation of the roentgen image. Br J Radiol, 70, 1085–1098.CrossRefGoogle Scholar
Samei, E. (2006). Why medical image perception? Editorial. J Am Coll Radiol, 3, 400–401.Google Scholar
Smoker, W., Berbaum, K.S., Luebke, N., Jacoby, C. (1984). Spatial perception testing in diagnostic radiology. Am J Radiol, 143, 1105–1109.Google Scholar
Suleiman, W.I., Lewis, S.J., Georgian-Smith, D., Evanoff, M.G., McEntee, M.F. (2014). Number of mammography cases read per year is a strong predictor of sensitivity. J Med Imag, 1, 015503.Google Scholar
Swenson, R., Hessel, S., Herman, P. (1985). The value of searching films without specific preconceptions. Invest Radiol, 20, 100–107.Google Scholar
Van Der Helm, P.A. (2000). Simplicity versus likelihood in visual perception: from surprisals to precisals. Psych Bull, 126, 770–800.Google Scholar
Weaver, S.J., Newman-Toker, D.E., Rosen, M.A. (2010). Cognitive skill decay and diagnostic error: best practices for continuing education in healthcare. J Contin Educ Health Prof, 30, 208–220.Google Scholar