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Proceedings Paper

A novel teaching tool using dynamic cues improves visualisation of chest lesions by naive observers
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Paper Abstract

Introduction Dynamic cueing is an effective way of stimulating perception of regions of interest within radiological images. This study explores the impact of a novel teaching tool using dynamic cueing for lesion detection on plain chest radiographs. Materials and methods Observer performance studies were carried out where 36 novices examined 30 chest images in random order. Half of these contained between one and three simulated pulmonary nodules. Three groups were investigated: A (control: no teaching tool), B (retested immediately after undergoing the teaching tool) and C (retested a week after undergoing the teaching tool). The teaching tool involved dynamically displaying the same images with and without lesions. Results were compared using Receiver Operating Characteristics (ROC), sensitivity and specificity analyses. Results The second reading showed significantly greater area under the ROC curve (Az value) (p<0.0001) and higher sensitivity value (p=0.004) compared to the first reading for Group B. No differences between readings were demonstrated for groups A or C. When the magnitudes of the above changes were compared between Group B and the other two groups, greater changes in Az value for Group B were noted (B vs. A:p=0.0003, B vs. C:p=0.0005). For sensitivity, when Group B was compared to Group A, the magnitude of the change was significantly greater (p=0.0029) whereas when Group B was compared to Group C, the magnitude change demonstrated a level approaching significance (p=0.0768). Conclusions The novel teaching tool improves identification of pulmonary nodular lesions on chest radiographs in the short term.

Paper Details

Date Published: 12 March 2009
PDF: 6 pages
Proc. SPIE 7263, Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment, 726304 (12 March 2009); doi: 10.1117/12.813510
Show Author Affiliations
M. A. Mohamed Ali, School of Medicine and Medical Sciences, Univ. College Dublin (Ireland)
R. J. Toomey, School of Medicine and Medical Sciences, Univ. College Dublin (Ireland)
J. T. Ryan, School of Medicine and Medical Sciences, Univ. College Dublin (Ireland)
F. C. Cuffe, Univ. College Dublin (Ireland)
P. C. Brennan, School of Medicine and Medical Sciences, Univ. College Dublin (Ireland)


Published in SPIE Proceedings Vol. 7263:
Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment
Berkman Sahiner; David J. Manning, Editor(s)

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