The Reading Room Podcast: Emerging Trends with Theranostics in Prostate Cancer, Part 1
In the first of a two-part podcast episode, Jeremie Calais, M.D., and Robert Flavell, M.D., discuss recent advances with PSMA-targeted radiotracers in the treatment of metastatic castration-resistant prostate cancer (mCRPC), and the role of imaging criteria in monitoring patients treated with PSMA-targeted radionuclide therapy.
Emerging Trends with Burnout in Radiology: An Interview with Chris Mattern, MD, Part 1
In a recent interview, Chris Mattern, M.D., discussed a confluence of trends that may be contributing to burnout in radiology, early retirements and a shifting preference from full-time to part-time roles in radiology.
Can Deep Learning Enhance Low-Dose Chest CT Assessment of Lung Cancer Risk?
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.
The Reading Room Podcast: Current and Emerging Insights on Abbreviated Breast MRI, Part 3
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.
The Reading Room Podcast: A Closer Look at Remote MRI Safety, Part 3
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.
Large Medicare Study Shows Black Men Less Likely to Receive PET and MRI for Prostate Cancer Imaging
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.
Reducing the Interval Breast Cancer Rate of Screening DBT: Can AI Have an Impact?
In a retrospective review of screening digital breast tomosynthesis (DBT) exams for over 200 women with interval breast cancers, researchers found that AI provided accurate localization of cancers in 32.6 percent of the cases.