Feature | August 12, 2010

Study Investigates Ultrasound Screening With Mammography

Study Investigates Ultrasound Screening With Mammography

Henry Ford West Bloomfield Hospital has joined U-Systems national clinical research study designed to evaluate whether digital mammography, when combined with the Automated Breast Ultrasound System (ABUS), is more sensitive in detecting breast lesions compared to mammography alone in women with dense breasts.

The SOMO•INSIGHT multi-center study will enroll up to 20,000 women at clinical study sites in the United States to determine the sensitivity of mammography and somo•v BUS from U-Systems together, compared to mammography alone for women with greater than 50 percent dense breast tissue.

“While mammography remains the gold standard, visualization of cancers in dense breast tissue with mammography can be limited in some women,” says Henry Ford radiologist Biren A. Shah, M.D., a principal investigator for the SOMO•INSIGHT Clinical Study at Henry Ford West Bloomfield Hospital. “It is exciting to participate in this study designed to determine if somo•v Automated Breast Ultrasound can identify breast cancers not seen with digital mammography alone, in women with dense breasts. We believe if this study is successful, it will be a tremendous technological advancement in early breast cancer detection, especially for the high risk group of women with dense breasts.”

Unlike mammography, which uses radiation to identify breast cancer lesions, somo•v ABUS technology uses sound waves at a safe frequency to create images of the breast tissue. Ultrasound has been shown to find cancer that may not be visible with mammography alone, in women who have dense breasts.

Related Content

 The study "Will We Solve Crimes with Radiomics? Results of an Experimental Study on Charred Human Bone Samples," was presented at the Virtual Radiological Society of North America's 2020 conference (RSNA20). Radiomics, which extracts data from clinical images, can be reliably used to assess changes in the bone structure due to fire exposure.
News | Computed Tomography (CT) | December 01, 2020
December 1, 2020 — The study "Will We Solve Crimes with Radiomics?
Mary C. Mahoney, M.D.

Mary C. Mahoney, M.D.

News | RSNA | December 01, 2020
December 1, 2020 — At the Virtual RSNA 2020 conference, it was a
Researchers developed a deep learning model that identifies imaging biomarkers to predict a patient’s risk for developing breast cancer

A deep learning model was developed that combined imaging and traditional risk factors.

News | Mammography | November 30, 2020
November 30, 2020 — Researchers at Massachusetts General Hospi...
Chest CT images in a 34-year-old man with fever for 4 days. Positive result of reverse-transcription polymerase chain reaction assay for severe acute respiratory syndrome coronavirus 2 using a swab sample was obtained on February 8, 2020. Dates of examination are shown on images. A, Chest CT scan with magnification of lesions in coronal and sagittal planes shows a nodule with reversed halo sign in left lower lobe (box) at the early stage of the pneumonia. B, Chest CT scans in different axial planes and coro

Chest CT images in a 34-year-old man with fever for 4 days. Positive result of reverse-transcription polymerase chain reaction assay for severe acute respiratory syndrome coronavirus 2 using a swab sample was obtained on February 8, 2020. Dates of examination are shown on images. A, Chest CT scan with magnification of lesions in coronal and sagittal planes shows a nodule with reversed halo sign in left lower lobe (box) at the early stage of the pneumonia. B, Chest CT scans in different axial planes and coronal reconstruction show bilateral multifocal ground-glass opacities. The nodular opacity resolved.

News | Coronavirus (COVID-19) | November 29, 2020
November 29, 2020 — The Radiological Society of North America (...
 Lunit, a leading medical AI software company, will be joining the 106th Radiological Society of North America (RSNA) this year, presenting its AI solutions for chest X-ray and mammography at partner booths.
News | Artificial Intelligence | November 24, 2020
November 24, 2020 — Lunit, a leading medical AI software company, will be joining the 106th...
ProFound AI for DBT offers superior clinical performance when compared to other commercially available breast AI systems
News | Breast Imaging | November 24, 2020
November 24, 2020 — iCAD reported that over 1,000 licenses have been sold as part of...
Densitas Inc., a global provider of A.I. technologies for digital mammography and breast screening, announced its partnership with Mammography Educators to offer the first artificial intelligence powered telehealth technologist training platform to support business continuity in mammography facilities.
News | Mammography | November 20, 2020
November 20, 2020 — Densitas Inc., a global provider of A.I.
Radiologists around the world will have access to a first-of-its-kind online breast density training tool designed to improve radiologists' ability to correctly identify women's breast density categories to comply with the Breast Imaging-Reporting and Data System (BI-RADS), thanks to a collaboration between DetectED-X and Volpara Health. 
News | Breast Density | November 19, 2020
November 19, 2020 — Radiologists around the world will have access to a first-of-its-kind online...
Reduces the complexity of reporting for screening and diagnostic MRI eams to deliver time-saving and patient safety benefits
News | MRI Breast | November 18, 2020
November 18, 2020 — ...