Improved cancer detection in automated breast ultrasound by radiologists using Computer Aided Detection
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Publication year
2017Source
European Journal of Radiology, 89, (2017), pp. 54-59ISSN
Publication type
Article / Letter to editor
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Organization
Medical Imaging
Journal title
European Journal of Radiology
Volume
vol. 89
Page start
p. 54
Page end
p. 59
Subject
Radboudumc 17: Women's cancers RIHS: Radboud Institute for Health Sciences; Medical Imaging - Radboud University Medical CenterAbstract
OBJECTIVE: To investigate the effect of dedicated Computer Aided Detection (CAD) software for automated breast ultrasound (ABUS) on the performance of radiologists screening for breast cancer. METHODS: 90 ABUS views of 90 patients were randomly selected from a multi-institutional archive of cases collected between 2010 and 2013. This dataset included normal cases (n=40) with >1year of follow up, benign (n=30) lesions that were either biopsied or remained stable, and malignant lesions (n=20). Six readers evaluated all cases with and without CAD in two sessions. CAD-software included conventional CAD-marks and an intelligent minimum intensity projection of the breast tissue. Readers reported using a likelihood-of-malignancy scale from 0 to 100. Alternative free-response ROC analysis was used to measure the performance. RESULTS: Without CAD, the average area-under-the-curve (AUC) of the readers was 0.77 and significantly improved with CAD to 0.84 (p=0.001). Sensitivity of all readers improved (range 5.2-10.6%) by using CAD but specificity decreased in four out of six readers (range 1.4-5.7%). No significant difference was observed in the AUC between experienced radiologists and residents both with and without CAD. CONCLUSIONS: Dedicated CAD-software for ABUS has the potential to improve the cancer detection rates of radiologists screening for breast cancer.
This item appears in the following Collection(s)
- Academic publications [245131]
- Electronic publications [132467]
- Faculty of Medical Sciences [93207]
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