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Proceedings Paper

Reading the lesson: eliciting requirements for a mammography training application
Author(s): M. Hartswood; L. Blot; P. Taylor; S. Anderson; R. Procter; L. Wilkinson; L. Smart
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Paper Abstract

Demonstrations of a prototype training tool were used to elicit requirements for an intelligent training system for screening mammography. The prototype allowed senior radiologists (mentors) to select cases from a distributed database of images to meet the specific training requirements of junior colleagues (trainees) and then provided automated feedback in response to trainees' attempts at interpretation. The tool was demonstrated to radiologists and radiographers working in the breast screening service at four evaluation sessions. Participants highlighted ease of selecting cases that can deliver specific learning objectives as important for delivering effective training. To usefully structure a large data set of training images we undertook a classification exercise of mentor authored free text 'learning points' attached to training case obtained from two screening centres (n=333, n=129 respectively). We were able to adduce a hierarchy of abstract categories representing classes of lesson that groups of cases were intended to convey (e.g. Temporal change, Misleading juxtapositions, Position of lesion, Typical/Atypical presentation, and so on). In this paper we present the method used to devise this classification, the classification scheme itself, initial user-feedback, and our plans to incorporated it into a software tool to aid case selection.

Paper Details

Date Published: 12 March 2009
PDF: 9 pages
Proc. SPIE 7263, Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment, 72631D (12 March 2009); doi: 10.1117/12.813920
Show Author Affiliations
M. Hartswood, Univ. of Edinburgh (United Kingdom)
L. Blot, Univ. College London (United Kingdom)
P. Taylor, Univ. College London (United Kingdom)
S. Anderson, Univ. of Edinburgh (United Kingdom)
R. Procter, Manchester Univ. (United Kingdom)
L. Wilkinson, St. George's Hospital NHS Trust (United Kingdom)
L. Smart, South East Scotland Breast Screening Ctr. (United Kingdom)


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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