Equivocal Breast Findings Are Reduced with Digital Tomosynthesis

Maram Alakhras; Claudia Mello-Thoms; Roger Bourne; Mary Rickard; Patrick C Brennan

doi:10.1007/978-3-319-41546-8_12

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Book chapter

Equivocal Breast Findings Are Reduced with Digital Tomosynthesis

Maram Alakhras, Claudia Mello-Thoms, Roger Bourne, Mary Rickard and Patrick C Brennan

Breast Imaging, pp.89-97

Lecture Notes in Computer Science, Springer International Publishing

06/17/2016

DOI: 10.1007/978-3-319-41546-8_12

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Abstract

The aim is to compare equivocal breast findings in digital breast tomosynthesis combined with digital mammography (DM+DBT) compared with DM alone for readers with different levels of DBT experience. Fifty cases (23 normal/benign, 27 cancer) were rated by 26 experienced breast radiologists (9, 9 and 8 individuals had no-, workshop- and clinical-DBT experience respectively) using a 5-point scoring scale (1 = normal, 5 = malignant). Ratings were compared between DM and DM+DBT for normal and cancer cases for all readers and for each sub-group of readers. Equivocal findings were 35 % of the total cancer-cases for DM compared with 24 % for DM+DBT for all readers grouped together with reductions also seen for each of the sub-groups. 31 % of normal cases were scored as equivocal in DM compared with 19 % in DM+DBT. Addition of DBT to DM reduces the number of equivocal breast findings regardless of the level of previous DBT experience.

Digital breast tomosynthesis

Digital mammography

Equivocal

Details

Title: Subtitle: Equivocal Breast Findings Are Reduced with Digital Tomosynthesis
Creators: Maram Alakhras - Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Sydney, Australia
Claudia Mello-Thoms - Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Sydney, Australia
Roger Bourne - Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Sydney, Australia
Mary Rickard - Sydney Breast Clinic, Sydney, Australia
Patrick C Brennan - Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Sydney, Australia
Resource Type: Book chapter
Publication Details: Breast Imaging, pp.89-97
Publisher: Springer International Publishing; Cham
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-319-41546-8_12
eISSN: 1611-3349
ISSN: 0302-9743
Language: English
Date published: 06/17/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984051544402771

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