AE电子

Breast Image Analytics

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    Overview

    Documents

    Training

    HEALTH NEWS HIGHLIGHT:

    New FDA Guidelines Require

    Breast Density Reporting

    AE电子 has more solutions that help radiologists identify and detect breast cancer in women with dense breasts.

    AE电子 Breast Image Analytics

    AE电子 offers a range of software options that help you maximize the value of your AE电子 mammography portfolio, including the following post-processing applications.

    Genius AI鈩 Detection

    Using deep learning technology, Genius AI Detection software finds cancers with better accuracy than AE电子鈥檚 previous generation CAD10-11, with the software fully integrated on the Dimensions庐 AWS. Genius AI Detection technology identifies areas of interest on all AE电子 Dimensions image types 鈥 now and into the future.

    Aids in radiologists鈥 diagnostic performance CAD

    Identifies potential cancers in breast tomosynthesis images with high accuracy. Use of Genius AI鈩 Detection software resulted in a difference of +9% in observed reader sensitivity for cancer cases. CAD10

    Fully integrated on the Dimensions platform

    The only deep learning software to run on the acquisition workstation of the mammography system, without the need for a separate server, for a simple, convenient, and secure solution.

    Workflow tools to enhance your practice

    Results at the point-of-care provide opportunities to improve the patient experience. Case level metrics can be used to categorize and prioritize cases for reading and to facilitate workflow.

    Quantra鈩 breast density assessment software

    Quantra breast density assessment software provides an objective method of assessing a patient鈥檚 breast density. This is critical for women with dense breasts, because higher breast density is known to increase a woman's risk for breast cancer.1

    • Quantra breast density assessment software is a machine-learning algorithm that analyzes each patient's pattern and texture to provide an unbiased breast density assessment. This information includes the Quantra Density Category, which is consistent with the four breast composition categories of the ACR BIRADS庐 Atlas, Fifth Edition.
    • Enables viewing of results on SecurView and other diagnostic workstations; also compatible with some mammography reporting systems.
    • Compatible with images acquired from a Genius鈩 3D Mammography鈩2 exam.

    ImageChecker庐 CAD software

    ImageChecker CAD software, which identifies regions of interest on mammography images to help minimize observational oversights by the radiologist, potentially decreases false negative readings.

    • Identifies regions of interest on mammography images in order to assist the radiologist.
    • Analyzes and marks suspicious masses and clusters of calcifications.
    • Displays markings on SecurView庐 and PACS workstations; also compatible with other diagnostic workstations.

    C-View synthesized 2D software

    C-View software is AE电子鈥檚 FDA-approved solution to replace FFDM within a combined tomosynthesis screening exam. C鈥揤iew software鈥檚 2D image is designed to be different. Our advanced algorithm takes high quality tomosynthesis data and instantly generates 2D images designed to enhance details such as bright spots and linear structures, while minimizing tissue overlap.

    AE电子 Low Dose 3D Mammography鈩 exam powered by C-View software:

    Clinically proven to increase invasive cancer detection2-6 and decrease recall rates2,4,5,6,7 compared with 2D alone鈥攋ust like our original 3D鈩 mammogram. C-View software progresses early breast cancer detection further by generating a 2D image directly from the tomosynthesis data, lowering patient radiation dose and compression time, with the added benefit of greater patient comfort.

    Product Gallery

      1. FDA PMA submission P080003/S001 physician labeling.  2. Skaane P, Bandos AI, Eben EB, et al. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images. Radiology, 2014 Jun;271(3):655-63.  3. Bernardi D, Macaskill P, Pellegrini M et al. "Breast Cancer Screening with Tomosynthesis with Acquired or Synthetic 2D Mammography Alone (STORM-2): A Population-Based Prospective Study" Lancet Oncology. epub 2016 Jun 23.  4. Durand M, Raghu M, Geisel J, et al. 鈥淪ynthesized 2D Mammography + Tomosynthesis: Can We See Clearly?鈥 Radiological Society of North America, Chicago, IL, December 2015.  5. Choi J, Han B, Ko E, et al. 鈥淐omparison with Two-Dimensional Synthetic Mammography Reconstructed from Digital Breast Tomosynthesis and Full Field Digital Mammography for the Detection of T1 Breast Cancer.鈥 European Radiology. Epub 2015 Dec.  6. Zuley M, Guo B, Catullo V, et al. 鈥淐omparison of Two-dimensional Synthesized Mammograms versus Original Digital Mammograms Alone and in Combination with Tomosynthesis Images.鈥 Radiology. 2014 Jun;271(3):664-71. Epub 2014 Jan 21.  7. Zuckerman S, Conant E, Weinstein S, et al. 鈥淚mpact on Recall Rates Following Implementation of Synthesized 2D Mammography in Digital Breast Tomosynthesis Screening.鈥 Radiological Society of North America, Chicago, IL, December 2015.  8. FDA 510(k) K163623.  9. Understanding Quantra鈩 (Version 2.2) User Manual 10. FDA Clearance: K201019 11. DHM-10095-002, MAN-036822-Understanding R2 ImageChecker CAD 10.0. Image Checker PMA Approval P970058