Journal article
Effect of radiologists’ experience on breast cancer detection and localization using digital breast tomosynthesis
European radiology, Vol.25(2), pp.402-409
02/2015
DOI: 10.1007/s00330-014-3409-1
PMID: 25192796
Abstract
The objectives are To to compare the diagnostic performance of combined digital breast tomosynthesis (DBT) and digital mammography (DM) with that of DM alone, as a function of radiologists’ experience with DBT.Ethical committee approval was obtained. Fifty cases (27 cancer, 23 normal), each containing both digital mammography (DM) and digital breast tomosynthesis (DBT) images, were reviewed by 26 radiologists, divided into three groups according to level of experience with DBT (none, workshop experience, and clinical experience). The radiologists’ diagnostic performance using DM was compared with that using DM + DBT, and evaluated by area under receiver-operating characteristic curve (AUC), jackknife free-response receiver-operator characteristics figure of metric (JAFROC FOM), sensitivity, location sensitivity, and specificity.For all readers combined, performance using DM + DBT was significantly higher than for DM alone by both AUC (0.788 vs 0.681, p < 0.001) and JAFROC FOM (0.745 vs 0.621, p < 0.001). Similar results were obtained for readers with no DBT experience (AUC 0.775 vs 0.682, p = 0.004; JAFROC FOM 0.695 vs 0.603, p = 0.016) and with clinical DBT experience (AUC 0.789 vs 0.681, p = 0.042; and JAFROC FOM 0.764 vs 0.632, p = 0.031).Addition of DBT to DM significantly improves radiologists’ diagnostic performance whether or not they have prior DBT experience.• Adding DBT to DM increased the number of detected cancers
• DBT + DM led to more accurate localization of breast cancers than DM
• Addition of DBT improved radiologists’ performance regardless of prior DBT experience
• High-volume radiologists with different DBT experience levels performed similarly on DM + DBT
Details
- Title: Subtitle
- Effect of radiologists’ experience on breast cancer detection and localization using digital breast tomosynthesis
- Creators
- Maram Alakhras - Medical Image Perception and Optimization Group (MIOPeG) Faculty of Health Sciences The University of Sydney Room M221, 75 East Street Sydney NSW 2141 AustraliaPatrick Brennan - Medical Image Perception and Optimization Group (MIOPeG) Faculty of Health Sciences The University of Sydney Room M221, 75 East Street Sydney NSW 2141 AustraliaMary Rickard - Sydney Breast Clinic 97-99 Bathurst Street Sydney NSW 2000 AustraliaRoger Bourne - Medical Image Perception and Optimization Group (MIOPeG) Faculty of Health Sciences The University of Sydney Room M221, 75 East Street Sydney NSW 2141 AustraliaClaudia Mello-Thoms - Department of Biomedical Informatics and Department of Radiology University of Pittsburgh School of Medicine Pittsburgh USA
- Resource Type
- Journal article
- Publication Details
- European radiology, Vol.25(2), pp.402-409
- Publisher
- Springer Berlin Heidelberg; Berlin/Heidelberg
- DOI
- 10.1007/s00330-014-3409-1
- PMID
- 25192796
- ISSN
- 0938-7994
- eISSN
- 1432-1084
- Language
- English
- Date published
- 02/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984051588402771
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