Diagnostic Imaging's Weekly Scan: February 11-February 17

While a CT-based deep learning model demonstrated a 91 percent AUC for predicting lung cancer risk within one year, researchers noted other mixed results in a new study involving over 18,000 individuals.

In the last of a three-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, share additional insights on practical considerations and potential challenges in integrating abbreviated breast MRI into clinical practice, and offer their thoughts on future research directions.

Offering an 87 percent sensitivity for clinically significant prostate cancer (csPCa), the deep learning model demonstrated an 86 percent AUC for predicting > PI-RADS 3 lesions on prostate MRI.

In the third of a three-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, discuss strategies for maintaining the integrity of time-out procedures and communication with remote MRI scanning.

Mammography detected 82 percent of pregnancy-associated breast cancer in a cohort of women with a high prevalence of extremely dense breasts, according to a new study.

An analysis of over 749,000 Medicare beneficiaries diagnosed with prostate cancer over a five-year period found that Black men were 13 percent less likely to receive PET imaging and 16 percent less likely to receive MRI in comparison to White men.