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  • Improve breast cancer detection

    Mammography may miss over 1/3 of cancers in dense breasts.1 The InveniaTM ABUS 2.0 (Automated Breast Ultrasound System) is a comfortable, nonionizing alternative to other supplemental screening options for women with dense breast tissue. When used in addition to mammography, Invenia ABUS showed a relative increase in invasive cancer detection by 57% by keeping a stable recall rate of 2.3 %.3 Learn more about Invenia ABUS 2.0 by downloading the brochure.

  • Biopsy proven fibroadenoma

  • Biopsy proven invasive ductal carcinoma with multiple satellite lesions

  • Dense tissue - normal duct

  • Extremely dense tissue - normal study

  • IDC grade 2 lesion with mammography

  • Multi-focal biopsy proven invasive ductal carcinoma

  • Multiple fibroadenomas

    Clinical impact

    Discover real-world outcomes and its clinical impact -- from the effectiveness of breast screening to improved cancer detection and economic outcomes.

    Economic impact

    Webinars

    These complimentary webinars feature experienced ABUS users who discuss ABUS in clinical practice.
    testimonials

    What are clinicians and patients saying about their experience with ABUS?

    From clinicians to patients, ABUS users discuss the clinical need for supplemental screening for dense breasts and how ABUS has performed in clinical practice. Patients and clinicians alike provide their impressions of ABUS supplemental screening for dense breasts and how it has benefited them. For more information on breast care for patients, please visit knowyourrisk.gehealthcare.com

      Education

      Mastery Program for Physicians and Technologists is led by experienced and certified peer educators to help rapidly build confidence to read Invenia ABUS 2.0 images. Technologist training occurs on-site for your convenience and offers up to 8 CME credits for participants.

      For more information download the Invenia ABUS 2.0 Education Information Sheet.

      Resources

      1. Mandelson et al. J Natl Cancer Inst 2000; 92:1081–1087.
      2. Tagliafico, Massimo Calabrese et al, Journal of Clinical Oncology 2016 34:16, 1882-1888.
      3. Brem et al, Radiology, March 2015.
      4. Pisano et al. NEJM 2005; 353: 1773.
      5. Engmann NJ, et al, JAMA Oncol. 2017;3(9):1228-1236
      6. Boyd NF et al. Mammographic Density and the Risk and Detection of Breast Cancer. NEJM 2007; 356: 227-36.
      7. Arora N, King TA, Jacks LM., Ann Surg Onc, 2010; 17:S211-18.

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