Padia, K.; Douglas, T.S.; Cairncross, L.L.; Baasch, R.V.; Vaughan, C.L. Detecting Breast Cancer with a Dual-Modality Device. Diagnostics2017, 7, 17.
Padia, K.; Douglas, T.S.; Cairncross, L.L.; Baasch, R.V.; Vaughan, C.L. Detecting Breast Cancer with a Dual-Modality Device. Diagnostics 2017, 7, 17.
Padia, K.; Douglas, T.S.; Cairncross, L.L.; Baasch, R.V.; Vaughan, C.L. Detecting Breast Cancer with a Dual-Modality Device. Diagnostics2017, 7, 17.
Padia, K.; Douglas, T.S.; Cairncross, L.L.; Baasch, R.V.; Vaughan, C.L. Detecting Breast Cancer with a Dual-Modality Device. Diagnostics 2017, 7, 17.
Abstract
Although mammography has been the gold standard for early detection of breast cancer, if a woman has dense breast tissue, a false negative diagnosis may occur. Breast ultrasound, whether hand-held or automated, is a useful adjunct to mammography but adds extra time and cost. The primary aim was to demonstrate that our second-generation Aceso system, which combines full-field digital mammography (FFDM) and automated breast ultrasound (ABUS) in a single platform, is able to produce improved quality images that provide clinically meaningful results. Aceso was first tested using two industry standards: a CDMAM phantom to assess the FFDM images; and the CIRS 054GS phantom to evaluate the ABUS images. In addition, 25 women participated in a clinical trial: 14 were healthy volunteers while 11 were patients referred by the breast clinic at Groote Schuur Hospital. The CDMAM phantom results showed the FFDM results were better than EUREF’s standard of “acceptable” and were approaching “achievable”. The ABUS results showed lateral and axial spatial resolution of 0.5 mm and adequate depth penetration of 80 mm. Our second-generation Aceso system, with its improved quality of clinical FFDM and ABUS images, has demonstrated its potential for early detection of breast cancer in a busy clinic.
Keywords
breast cancer; dense breasts; dual-modality imaging; FFDM; ABUS
Subject
Medicine and Pharmacology, Oncology and Oncogenics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
