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Clinical Trial Summary

The purpose of this study is to assess whether the Invenia™ Automated Breast Ultrasound (ABUS) device, as an adjunct to Digital Breast Tomosynthesis (DBT), improves breast cancer detection in women with dense breasts. The study aims to collect information about cancer detection, treatment, and outcomes based on individual and combined technologies in patients who receive ABUS exams in addition to DBT. The results of this study are intended to be used to extend understanding of ABUS as an adjunct in DBT screening in patients with dense breasts.


Clinical Trial Description

Following consenting procedures, subjects will undergo standard of care DBT of both breasts or of one breast if they have had prior uni-lateral mastectomy. Subjects will also undergo ABUS of both breasts or of one breast if they have had prior uni-lateral mastectomy. These imaging exams will be done per the sites routine practice, and can be done in any order.

Images will be read and assessed by one (1) Mammography Quality Standards Act (MQSA)-qualified reader. The evaluating radiologist will use the image reconstruction views appropriate for the evaluation, per his or her medical judgment, and handle diagnostic evaluations in accordance with the standard of care at the investigational site. The DBT images will be read and assessed first and independent of ABUS images. DBT plus ABUS will then be read per routine practice and assessed. Images will not be read until both imaging exams have been completed.

If screening shows a suspicious finding, subjects will receive standard of care follow-up and appropriate workup, which may include biopsy (as needed), to determine cancer status. Subjects will be followed at approximately one year (11- to 16-months) unless negative histopathology with image concordance or positive cancer status is histologically determined prior to one-year follow-up. Follow up procedures will be conducted as per the sites standard of care. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT03616457
Study type Observational
Source GE Healthcare
Contact Sara Lam
Phone 262-548-2369
Email sara.j.lam@ge.com
Status Not yet recruiting
Phase
Start date August 2018
Completion date August 2021

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