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Breast screening: understanding case difficulty and the nature of errors
conference contribution
posted on 2015-11-23, 13:47 authored by Leng Dong, Yan Chen, Alastair GaleIn the UK all screeners undertake the PERFORMS scheme where they read annual sets of challenging cases. During this
assessment, they give each case a confidence rating on whether it should be recalled. If they decide to recall a case, they
also indicate the center of any key mammographic features on a display of the relevant mammographic case view. Expert
radiological opinion defines what the key abnormalities (targets) are in any case. Data can then be analyzed using ROC
and JAFROC approaches, and particularly for the latter, assessing whether a user has correctly located a feature or not is
important. Using image pixel information alone it is possible to delineate correct localization of an abnormality from an
incorrect location by defining an area of interest. To explore such location information in more detail, data from the last
year of the PERFORMS scheme were reanalyzed and the location responses for each of the 675 participants on 120
screening cases examined. Additionally, expert radiological opinions had been garnered for various reasons, including
accurately delineating any abnormalities. An algorithmic approach is developed which assesses whether users’
indications should be included as correct abnormality identification or not, based on the feedback location information of
all participants’ indicated locations and the relative position of an indicated location to the abnormality. This approach is
proposed to be superior to simple pixel distance approaches which measure a fixed distance from the centre of a target to
the user’s indicated location. The approach adds to the experimenter’s repertoire of tools when examining user errors
and case difficulty in medical imaging research.
Funding
This work is partly supported by the UK National Health Service Breast Screening Programme.
History
School
- Science
Department
- Computer Science
Published in
SPIE Medical Imaging Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, 867316Citation
DONG, L., CHEN, Y. and GALE, A.G., 2013. Breast screening: understanding case difficulty and the nature of errors. IN: Abbey, C.K. and Mello-Thoms, C.R. (eds). Proceedings of SPIE, vol 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, Lake Buena Vista, Florida, USA, 9th February 2013, pp. 867316-1 - 867318-8.Publisher
© SPIEVersion
- VoR (Version of Record)
Publication date
2013Notes
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
0277-786XPublisher version
Language
- en