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.
Non-white individuals and people living in less educated, lower income areas are more likely to receive an advanced lung cancer diagnosis, such as stage 4 disease.
Digital breast tomosynthesis exams produce fewer false positive results than standard two-dimensional mammography, though not substantially, experts shared recently in JAMA Open Network.
Extracolonic findings observed on computed tomography colonography scans of cancer patients might identify undetected malignancies more often than previously thought, according to a new study in Clinical Imaging.
Current bone age-based methods of growth prediction in children are inaccurate and frequently overestimate final height, experts explained in Radiology.
In a new video, Evans Pappas, MD, and Sujith Kalathiveetil, MD, both of Duly Health and Care in suburban Chicago, explain the shift toward office-based cardiac CT evaluations and the role of FFR-CT.
The bills update the ages at which insurance carriers are required to cover screening mammograms and add language that includes tomosynthesis in the definition of mammographic screening.
Research published recently in BMC Pulmonary Medicine examined associations between findings on low dose computed tomography screenings and other conditions, such as cardiovascular, respiratory and oncologic diseases.
The software was trained using more than 700 images and achieved a breast density classification accuracy of 89%, experts recently shared in Radiology: Artificial Intelligence.