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A potential method to identify poor breast screening performance

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conference contribution
posted on 23.11.2015, 12:09 by Leng Dong, Yan Chen, Alastair Gale, Dev P. Chakraborty
In the UK all breast screeners undertake the PERFORMS scheme where they annually read case sets of challenging cases. From the subsequent data it is possible to identify any individual who is performing significantly lower than their peers. This can then facilitate them being offered further targeted training to improve performance. However, currently this under-performance can only be calculated once all screeners have taken part, which means the feedback can potentially take several months. To determine whether such performance outliers could usefully be identified approximately much earlier the data from the last round of the scheme were re-analysed. From the information of 283 participants, 1,000 groups of them were selected randomly for fixed group sizes varying from four to 50 individuals. After applying bootstrapping on 1,000 groups, a distribution of low performance threshold values was constructed. Then the accuracy of estimation was determined by calculating the median value and standard error of this distribution as compared with the known actual results. Data indicate that increasing sample sizes improved the estimation of the median and decreased the standard error. Using information from as few as 25 individuals allowed an approximation of the known outlier cut off value and this improved with larger sample sizes. This approach is now implemented in the PERFORMS scheme to enable individuals who have difficulties, as compared to their peers, to be identified very early after taking part which can then help them to improve their performance.

Funding

This work is partly supported by the UK National Health Service Breast Screening Programme.

History

School

  • Science

Department

  • Computer Science

Published in

Conference on Medical Imaging - Image Perception, Observer Performance, and Technology Assessment MEDICAL IMAGING 2012: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT

Volume

8318

Pages

? - ? (8)

Citation

DONG, L. ... et al, 2012. A potential method to identify poor breast screening performance. IN: Abbey, C.K. and Mello-Thoms, C.R. (eds). Proceedings of SPIE, vol 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, USA, 20th February 2012, pp. 831819-1 - 831819-8.

Publisher

© SPIE

Version

VoR (Version of Record)

Publication date

2012

Notes

Copyright 2014 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

ISSN

0277-786X

Language

en

Location

San Diego, CA

Exports

Loughborough Publications

Exports