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.
Women with increased breast density are targeted significantly more for supplemental imaging than those without dense tissue, but there are other factors that increase the risk of mammography screening failure that should also be considered, according to new data.
The findings support adopting F-18 DCFPyL PET/CT as the standard of care for prostate cancer staging, authors of a new Scientific Reports paper concluded.
The USPSTF’s update suggests that women should screen every other year, but the group's own modeling studies have cited the benefits of annual screening.
These findings highlight a need for more stringent and standardized reporting guidelines relative to incidental findings, authors of the new study suggested.
Radiologists interpreting screening mammograms may be especially susceptible to falling victim to automation bias, as these exams are repetitive in nature.
Breast density is known to drop over time, but the rate at which density decreases merits special attention, as it could be associated with a woman’s chance of developing cancer.