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.
November 30th 2023
Offering an all-in-one platform of artificial intelligence (AI) applications, MyBreastAI Suite reportedly facilitates early breast cancer detection and enhances efficiency with breast imaging workflows.
20th Annual International Symposium on Melanoma and Other Cutaneous Malignancies®
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9th Annual School of Gastrointestinal Oncology® (SOGO®)
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New York GU 17th Annual Interdisciplinary Prostate Cancer Congress® and Other Genitourinary Malignancies
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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
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25th Annual International Lung Cancer Congress®
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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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Mammography News: FDA Clears AI Software for Breast Arterial Calcification Detection
October 17th 2023Utilized in conjunction with screening digital mammography or digital breast tomosynthesis (DBT), the artificial intelligence (AI)-powered software cmAngio may help detect and localize breast arterial calcification (BAC), an incidental finding that has been linked to an elevated risk for heart disease and stroke.
Mammography-Based Deep Learning Model Facilitates Higher Breast Cancer Detection on Screening MRI
September 22nd 2023New research suggests the capability of a mammography-based deep learning model to identify women at high risk of breast cancer led to more than triple the cancer detection rate on breast MRI in comparison to traditional risk assessment tools.
Large Mammography Study Suggests AI is Equivalent to Radiologists for Double Reading of Exams
September 11th 2023In a prospective study of over 55,000 women who had screening mammography, researchers found that double-reading by a radiologist and artificial intelligence (AI) was non-inferior to double-reading by two radiologists in detecting breast cancer.
Can AI Match Radiologist Assessment of Screening Mammography Exams?
September 5th 2023In separate test sets that included challenging mammography cases, researchers found that artificial intelligence (AI) demonstrated similar sensitivity and specificity for detecting breast cancer in comparison to assessments from over 500 clinicians.
New Research Shows Consequences of Delayed Diagnosis in Mammography Screening
August 22nd 2023Primary diagnostic delays in mammography screening led to a greater than 10 percent higher incidence of lymph node metastasis with invasive breast cancer in comparison to women without a primary diagnostic delay, according to new research out of the Netherlands.
Study Reveals Tradeoffs Between Contrast-Enhanced Mammography and MRI for Supplemental Screening
August 16th 2023In a new study comparing standard breast MRI, abbreviated breast MRI and contrast-enhanced mammography in supplemental breast cancer screening, researchers found that MRI offered a greater than 14 percent higher cancer detection rate and a nearly 39 percent higher sensitivity rate than CEM.
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.