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.
Including bone mineral density testing with patients' exams added no extra time and identified those at greater risk for fracture, Danish researchers explained recently.
Radiologists often mistake these bony lesions near the knee as more serious conditions, such as cancer, but researchers say such irregularities are typically benign.
Lead researcher Majid Fotuhi, MD, PhD, also said that completing a baseline MRI before these patients leave the hospital is “imperative" to their future treatment.
The approach was on-par with CT scan quality at detecting some of the most common findings associated with the disease, including lesions and ground-glass opacities, experts wrote in the Journal of MRI.