The Diagnostic Imaging mammography modality focus page provides information, videos, podcasts, and the latest news about industry product developments, trial results, screening guidelines, and protocol guidance that touch on the use of mammography, including 2D digital mammography, digital breast tomosynthesis, and breast ultrasound.
December 8th 2023
In a new study examining population attributable risk proportions (PARPs) based on data from over three million screening mammography exams, researchers found that postmenopausal Black women had the highest BMI-related PARP and premenopausal Asian and Pacific Islander women had the highest breast density-related PARP for advanced breast cancer.
20th Annual International Symposium on Melanoma and Other Cutaneous Malignancies®
February 10, 2024
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9th Annual School of Gastrointestinal Oncology® (SOGO®)
February 24, 2024
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New York GU 17th Annual Interdisciplinary Prostate Cancer Congress® and Other Genitourinary Malignancies
March 8-9, 2024
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Medical Crossfire®: Critical Questions on Diagnosis, Sequencing, and Selection of Systemic and Radioligand Therapy Options for Patients with GEP-NETs
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Medical Crossfire®: Expert Exchanges to Maximize Clinical Outcomes for Patients with CRPC Through Evidence-Based Personalized Therapy
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23rd Annual International Congress on the Future of Breast Cancer® West
July 12-13, 2024
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25th Annual International Lung Cancer Congress®
July 25-27, 2024
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2023 ASCO Direct™ Highlights: Practice-Changing Data From the Leading Oncology Conference
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Community Practice Connections™: 24th Annual International Lung Cancer Congress®
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Medical Crossfire®: How Do the Experts Select and Sequence Therapies to Optimize Patient Outcomes and Quality of Life in Advanced Prostate Cancer?
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Medical Crossfire®: How Does Recent Evidence on PARP Inhibitors and Combinations Inform Treatment Planning for Prostate Cancer Now and In the Future?
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Large Mammography Study Shows Significant Benefits with AI-Aided Screening
August 1st 2023Reportedly the first randomized trial to examine the impact of artificial intelligence (AI) on screening mammography, researchers found AI-aided screening led to a 20 percent increase in breast cancer detection and a 44.3 percent decrease in mammography screening workload.
Researchers Note Lack of Benefit with AI in Women with Dense Breasts
July 28th 2023In a study of over 1.300 women with dense breasts, the combination of mammography and ultrasound had a recall rate of 11.7 percent, a specificity rate of 89.1 percent and an accuracy rate of 89.2 percent in comparison to a 21.4 percent recall rate, 79.4 percent specificity and 79.5 percent accuracy for the combination of mammography, ultrasound, and artificial intelligence (AI).
Mammography-Based Deep Learning Model May Help Detect Precancerous Changes in High-Risk Women
July 27th 2023In a dataset enriched for African American women, BRCA mutation carriers and those with benign breast disease, a mammography-based deep learning model demonstrated a five-year AUC of 63 percent for predicting breast cancer in comparison to 54 percent for BI-RADS assessment.
Ultravist Becomes First FDA-Approved Contrast Agent for Contrast-Enhanced Mammography
June 24th 2023Ultravist is reportedly the first contrast agent to gain a specific indication for visualization of known or suspected lesions on contrast-enhanced mammography, which was recently recommended by the American College of Radiology as a supplemental imaging alternative to magnetic resonance imaging (MRI) in women with dense breasts at the age of 40 and other risk factors for breast cancer.
Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals
June 19th 2023In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.
Study Assesses Ability of Mammography AI Algorithms to Predict Breast Cancer Risk
June 7th 2023Five artificial intelligence (AI) algorithms for mammography assessment were better at predicting breast cancer risk over five years than the Breast Cancer Surveillance Consortium (BCSC) risk model, according to new retrospective research involving over 13,000 women.
Large Study Shows Mixed Results in Comparison of DBT and Digital Mammography
May 31st 2023In a large retrospective study involving over 523,000 digital breast tomosynthesis (DBT) exams and over one million digital mammography (DM) exams, researchers found that DBT was associated with significantly lower recall rates but showed no advantage over DM in the diagnosis of interval or advanced breast cancer.
Mammography Study Finds No Significant Link Between Breast Density and Breast Cancer Prognosis
May 26th 2023In a study involving over 1,100 women diagnosed with breast cancer, researchers found that 48.7 percent of women alive or dead from other causes at a median follow-up of 11.7 years had moderately dense breasts. They also found that 46 percent of women who died from breast cancer at a median-follow-up of 5.3 years had moderately dense breasts.
Digital Mammography Meta-Analysis Suggests AI Performs as Well as Radiologists
May 24th 2023Six reader studies on digital mammography revealed a pooled sensitivity rate of 80.8 percent for stand-alone artificial intelligence (AI) in comparison to 72.4 percent for radiologist assessment while seven historic cohort studies showed a 75.8 percent pooled sensitivity rate for stand-alone AI versus 72.6 percent for radiologist interpretation of digital mammography.
Do the New USPSTF Recommendations Go Far Enough on Mammography Screening?
May 11th 2023The United States Preventive Services Task Force (USPSTF) has drawn praise for lowering the age threshold for initial mammography screening from 50 to 40 years of age in updated draft recommendations for breast cancer screening, but critics warn that biennial screening is not sufficient for higher-risk populations.
New ACR Guidelines Emphasize Earlier Mammography Screening for High-Risk Women
May 4th 2023While calling for a universal breast cancer risk assessment by the age of 25, the American College of Radiology (ACR) emphasized that ascertaining screening needs prior to the age of 40 is particularly important in high-risk populations such as Black women, who are 42 percent more likely to die from breast cancer in comparison to non-Hispanic White women.
What a New Study Reveals About AI, Bias and Mammography Assessment
May 2nd 2023Regardless of experience level, radiologists are likely to be affected by automation bias when utilizing adjunctive artificial intelligence (AI) for mammography interpretation, according to newly published research.
Does Timing of Imaging Affect Interpretation of Contrast-Enhanced Mammography?
April 19th 2023Earlier initiation of imaging after contrast administration with contrast-enhanced mammography may provide better visibility of lesions and conspicuity against background parenchymal enhancement, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.