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Proceedings Paper

Acoustical markers for CAD-detected pulmonary nodules in chest CT: A way to avoid suggestion and distraction of radiologist's attention?
Author(s): Florian Beyer; Walter Heindel; Dag Wormanns
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Paper Abstract

Purpose: To compare the influence of visual and acoustical CAD markers on radiologist's performance with regard to suggestive and distractive effects. Materials and methods: Ten radiologists analyzed 150 pictures of chest CT slices. Every picture contained a visual CAD marker. 100 pictures showed one nodule: CAD marker marked this in 50 cases and in 50 cases a false positive finding (f.p.). The other 50 cases showed no nodule but an f.p. marker. After 3 years same images were presented to thirteen radiologists with only a sound as CAD marker. 55 of 150 images were marked, 30 true positive and 25 f.p. Sensitivity and f.p. rate were calculated for both marker types. Significance between sensitivities and f.p. rates were calculated by multiple-analysis-of-variance (MANOVA). Results: Without CAD mean sensitivity resp. f.p. were 57.7% /.13. In case of correct optical resp. acoustical marker sensitivity increased to 75.6% resp. 63.1%. For incorrect set marker mean f.p. rate increased to .31 resp. .24. MANOVA showed that marker's correctness highly significantly influenced sensitivity (p<.001) and f.n. (p=.005). Type of marker showed no significant influence on sensitivity (p=.26) or f.n. (p=.23) but on f.p. (p<.001). New work to be presented: Acoustical markers are a new means to increase radiologist's awareness of the presence of pulmonary nodules at CT scans with much less suggestive effect compared to optical markers. Conclusion: We found an unexpectedly low distraction effect for misplaced CAD markers. A suggestive effect was remarkable especially for optical markers. However acoustical markers offered less increase of sensitivity.

Paper Details

Date Published: 27 February 2009
PDF: 8 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72602V (27 February 2009); doi: 10.1117/12.811406
Show Author Affiliations
Florian Beyer, Univ. Hospital of Muenster (Germany)
Walter Heindel, Univ. Hospital of Muenster (Germany)
Dag Wormanns, ELK Berlin Chest Hospital (Germany)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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