Journal article
Evaluation of the effect of zoom function on lesion detection by soft-copy reading of screening mammograms
Journal of medical imaging and radiation oncology, Vol.59(3), pp.292-299
06/2015
DOI: 10.1111/1754-9485.12298
PMID: 25828255
Abstract
This study aims to evaluate the effectiveness of zooming in improving screen-reader performance in reporting digital mammograms.
Two experiments were conducted. In the first experiment, 5 readers were asked to report 59 two-view bilateral mammograms retrospectively with zooming function turned off. The second session was similar to the first one except that zooming was enabled. The task of readers was to assess if the mammograms were normal or abnormal and rate the confidence levels for each of the lesion they detected. The reader performances were evaluated via case sensitivity, lesion sensitivity, specificity, receiver operating characteristics (ROC) area under the curve (AUC) and jackknife free-response receiver operating characteristics (JAFROC) figure of merit (FOM).
There was no significant improvement in overall reader performance in detecting abnormalities in zooming condition compared with no zooming in terms of case sensitivity (96% and 87%, P = 0.285) or lesion sensitivity (88% and 81%, P = 0.224). However, differences in ROC AUC and JAFROC FOM (P ≤ 0.05) were found in two readers when they performed the test set with zooming function.
The results suggested that the use of the zooming function did improve the performance of some readers in detecting abnormal cases.
Details
- Title: Subtitle
- Evaluation of the effect of zoom function on lesion detection by soft-copy reading of screening mammograms
- Creators
- Phuong Dung Trieu - Medical Image Optimization and Perception (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, AustraliaPatrick Brennan - Medical Image Optimization and Perception (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, AustraliaBruno Giuffre - Radiology Department, Royal North Shore Hospital, Sydney, New South Wales, AustraliaClaudia Mello-Thoms - Medical Image Optimization and Perception (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, AustraliaKriscia Tapia - Medical Image Optimization and Perception (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, AustraliaNicole Santangelo - Radiology Department, Concord Hospital, Sydney, New South Wales, AustraliaHaewon Kim - BreastScreen NSW, Sydney South West Area Health Service, Sydney, New South Wales, AustraliaKatherine Cameron - Imaging Partners Online, Sydney, New South Wales, AustraliaCatherine Hayter - Radiology Department, Royal North Shore Hospital, Sydney, New South Wales, AustraliaGlenys Da Costa - Radiology Department, Royal North Shore Hospital, Sydney, New South Wales, AustraliaJarmila Sterba - BreastScreen NSW, Northern Sydney and Central Coast Local, Sydney, New South Wales, AustraliaWarwick Lee - BreastScreen NSW, Cancer Institute NSW, Sydney, New South Wales, Australia
- Resource Type
- Journal article
- Publication Details
- Journal of medical imaging and radiation oncology, Vol.59(3), pp.292-299
- Publisher
- Australia
- DOI
- 10.1111/1754-9485.12298
- PMID
- 25828255
- ISSN
- 1754-9477
- eISSN
- 1754-9485
- Grant note
- DOI: 10.13039/501100001026, name: National Breast Cancer Foundation, Australia, award: IF-12-02
- Language
- English
- Date published
- 06/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984051574102771
Metrics
23 Record Views