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.
New findings published in RSNA's Radiology highlight the shortcomings of using nodule characteristics and patient history alone to predict an individual’s true cancer risk.
It is estimated that less than 20% of eligible patients in the U.S. adhere to LCS recommendations, despite numerous studies highlighting the exam’s effectiveness.
Chest X-rays could be the key to mitigating the issue of overdiagnosis in certain patient populations undergoing lung cancer screening, according to new research.
The document provides an in-depth look at the close relationship between inflammation and cardiovascular disease. "The time for taking action has now arrived," the authors wrote.