Radiology Comic: Mannequin Challenge

Emphasizing multi-structure segmentation and feature extraction from chest CT scans, an emerging AI model demonstrated an approximately 70 percent AUC for predicting significant incidental extrapulmonary findings as well as two-year and 10-year all-cause mortality.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

In a study involving over 272,000 breast cancer screening exams, digital breast tomosynthesis (DBT) had a higher breast cancer detection rate and a lower rate of advanced cancer presentation at the time of diagnosis in comparison to digital mammography.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

Radiomics models offered a pooled AUC of 86 percent for differentiating between ruptured and unruptured intracranial aneurysms, according to a recently published meta-analysis.

For patients with metastatic castration-resistant prostate cancer (mCRPC) and bone metastasis, the combination of enzalutamide and Ra223 led to a median overall survival rate of 42.3 months in contrast to 35 months for enzalutamide alone, according to research presented at the 2024 European Society for Medical Oncology Congress (ESMO) in Spain.