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.
Elizabeth Rula, executive director of the ACR-backed research outfit, discusses how to solve staffing shortages, prior authorization issues, and other key issues facing radiology.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
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.
Breast cancer screenings present an additional opportunity to identify more women who would also qualify for lung cancer screening, authors of a new paper in JAMA said.
Also, up to 26% of eligible women have not had a formal conversation with their physician regarding their breast cancer risks, despite current guidelines that suggest these discussions start sooner rather than later.
Social vulnerability index scores account for factors like socioeconomic status, household composition, disability, minority status, language, housing type and transportation.
Researchers found that cancer risk in premenopausal women with fatty breasts at initial imaging nearly doubled if an increase in density was observed during their second and third mammograms.
This image gallery shows examples from various breast imaging modalities, including digital breast tomosynthesis, ultrasound and breast MRI, in addition to clinical presentations of breast cancer and other pathologies.