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.
That’s according to an award-winning scientific online poster presented this week during the American Roentgen Ray Society’s annual meeting being held in Honolulu, Hawaii.
Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.
Since being approved by the U.S. Food and Drug Administration in 2011, DBT has become the most common method for breast cancer screening, and as of September 2022, 84% of all U.S. mammography screening facilities housed DBT units.
A team of experts with the University of Maryland School of Medicine recently presented ChatGPT with a set of questions relative to breast cancer screening recommendations to determine whether the program could reliably offer appropriate guidance.
Accurate information relative to personal risk is crucial for improving uptake of low-dose CT (LDCT) lung cancer screening, but new data indicate that many websites' content on the topic is out of date.
How recent developments in hormonal contraceptives affect breast density is an important consideration, as an increase in density category increases cancer risk.