Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.
The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC.
Two respected radiology organizations have issued a stark warning on the new recommendations, stating that they risk confusing patients and “may contribute to thousands of additional breast cancer deaths each year.”
New findings from a large CT lung cancer screening dataset reveal that a substantial number of patients have significant incidental findings visible on their scans.
Decreased screening rates among different subgroups highlight the ongoing need for outreach strategies that target vulnerable populations, experts contend.
Women with breast arterial calcifications are 51% more likely to develop heart disease or have a stroke, experts explained recently in Circulation: Cardiovascular Imaging.
In an exclusive video, Stacey Wolfson, MD, and Beatriu Reig, MD, MPH, from the NYU Grossman School of Medicine, discuss the findings of their new analysis.
There are not yet consensus-based guidelines available for screening women with dense breast tissue, so researchers at Mayo Clinic recently developed a set of recommendations regarding supplemental screening.
The analysis examined 620 cancer imaging studies from the top 25 imaging-related journals to come up with publication-to-incidence and publication-to-mortality ratios.
The latest U.S. Food and Drug Administration data on mammography systems installed nationwide shows DBT systems are rapidly replacing traditional 2D full field digital mammography units.