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.
These findings underscore the need for better implementation of shared decision-making (SDM) models, as well as more thorough counseling documentation, as low-dose CT (LDCT) lung screen coverage is dependent on these factors, experts suggested.
The downward trend in annual mammography adherence should serve as a call to action for new processes to engage breast cancer survivors, physicians urged.
The Mount Sinai Robert F. Smith Mobile Prostate Cancer Screening Unit was developed with the intention of increasing access to screening and supporting prostate health in the Black community.
Those who received customized messages pertaining to their risk of developing colorectal cancer are 34% more likely to complete the screening than those who are offered standard referrals, research shows.