News | Breast Imaging | August 11, 2021

AI DBT Impact on Mammography Post-breast Therapy

artificial intelligence-based computer-aided detection (AI-CAD) can be a practical addition for lowering false-positive findings when performing post-breast conserving therapy (BCT) surveillance mammography

AI-CAD marked axillary lymph node and region in right upper outer quadrant (arrows and thin line outlining both sites) and assigned an abnormality score of 28%.

August 11, 2021 — According to an open-access Editor’s Choice article in the American Journal of Roentgenology (AJR), artificial intelligence-based computer-aided detection (AI-CAD) can be a practical addition for lowering false-positive findings when performing post-breast conserving therapy (BCT) surveillance mammography.

“After BCT, adjunct digital breast tomosynthesis (DBT) or AI-CAD reduced recall rates and improved accuracy in the ipsilateral and contralateral breasts compared with digital mammography (DM),” wrote lead investigator Jung Hyun Yoon. “In the ipsilateral breast, addition of AI-CAD resulted in lower recall rate and higher accuracy than addition of DBT.”

Yoon and colleagues’ single-center retrospective study included 314 women (mean age, 53.2 years; 4 with bilateral breast cancer) who underwent BCT followed by DBT (mean interval from surgery to DBT, 15.2 months). Three breast radiologists independently reviewed images in three sessions: DM, DM with DBT, and DM with AI-CAD. Recall rates and diagnostic performance were compared between these three sessions using readers’ mean results.

Among these 314 women, the mean ipsilateral breast recall rate among all three readers was lower (p<.001) for DM with AI-CAD (1.9%) than for DM with DBT (4.1%). In the ipsilateral breast, both mean accuracy (97.0% vs 94.8%, p=.02) and specificity (98.3% vs 96.1%, p=.003) were higher for DM with AI-CAD than for DM with DBT, respectively.

Acknowledging that data regarding other AI-CAD applications for the post-BCT breast are scarce, “our study shows that recall rates decrease significantly when DBT or AI-CAD are used as adjuncts to DM for surveillance of the ipsilateral and contralateral breasts in women with a personal history of breast cancer after BCT,” the authors of this AJR article concluded.

For more information: www.arrs.org

Related Content

While the Mammography Quality Standards Act (MQSA) and the introduction of EQUIP (Enhancing Quality Using the Inspection Program) have been successful in standardizing and enhancing mammographic imaging quality, inadequate breast positioning can dramatically impact the ability of radiologists and technicians to quickly and accurately detect breast cancer and potentially malignant lesions in their patients

Getty Images

Feature | Mammography | September 15, 2021 | By Christopher Austin, M.D. and Randy D. Hickes, M.D., MBA
This is an example of 3-D ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

This is an example of 3-D ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

News | Breast Imaging | September 15, 2021 | By Jennifer Meade
Cloud services have been utilized within healthcare organizations for more than a decade. Now with the growth of artificial intelligence (AI) it is very common to see organizations adopting cloud services.

Getty Images

Feature | Information Technology | September 14, 2021 | By Jef Williams
As with all imaging technologies, COVID-19 is expected to continue to negatively impact the market.

Courtesy of Grand View Research

Feature | Magnetic Resonance Imaging (MRI) | September 14, 2021 | By Melinda Taschetta-Millane
Figure 1: MWT Schematic of a typical setup for detecting malignant tissues/tumors.

Figure 1: MWT Schematic of a typical setup for detecting malignant tissues/tumors.

Feature | Radiology Imaging | September 14, 2021 | By Brendon McHugh
Us2.ai, a Singapore-based medtech firm backed by Sequoia India and EDBI, has received U.S. Food and Drug Administration (FDA) clearance for Us2.v1, a completely automated AI decision support tool for cardiac ultrasound.
News | Cardiovascular Ultrasound | September 14, 2021
September 14, 2021 – Us2.ai, a Singapore-based medtech firm backed by Sequoia India and EDBI, has received U.S.
Plan to attend RSNA21 at McCormick Place Chicago, Nov. 28 – Dec. 2, 2021

Getty Images

News | RSNA | September 13, 2021
September 13, 2021 — The Radiological Society of North America (RSNA) today announced highlights of the Technical Exh
According to ARRS’ American Journal of Roentgenology (AJR), immediately reading screening mammograms during the coronavirus disease (COVID-19) pandemic promises a new and improved paradigm—reducing care disparities, while increasing the speed of diagnostic workup.

Flow Chart of Patient Selection

News | Breast Imaging | September 09, 2021
September 9, 202