Catch up on the top radiology content of the past week.

In comparison to computed tomography and bone scintigraphy, FDG PET/CT detected more oligometastatic and polymetastatic disease in patients with locally advanced breast cancer, according to a new study.

A deep learning multimodal model that incorporates MRI features offered nearly double the sensitivity for predicting post-prostatectomy biochemical recurrence of prostate cancer in comparison to the traditional CAPRA-S scoring system.

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.

In addition to facilitating centralized scanning for a variety of imaging, the TechLive system may help ease the strain of technologist shortages and broaden access to advanced imaging exams.

In light of the ongoing challenges with navigating malpractice risk and administrative burdens in radiology, these authors issue a call for increased communication and collaboration with ordering clinicians.

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.

Lower proportions of extremely dense breasts and high BRCAT lifetime risk among Black women in comparison to White women may have resulted in a lower likelihood of eligibility for supplemental screening insurance coverage in Pennsylvania, according to new research.

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.

Combining sub-second load times and AI-automated features, the PET/CT Viewer Mode and Mammography Viewer Mode may help address bottlenecks in nuclear medicine imaging and mammography workflows.

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 a recent interview, Amy Patel, M.D., discussed new research findings that revealed a 45 percent higher likelihood of mammography screening among women with Medicaid in Missouri due to expanded mammography coverage in the state.

The multimodality remote scanning modality uOmniscan and the recently FDA-cleared 3T uMR Ultra MRI system were unveiled at the Association for Medical Imaging Management (AHRA) conference in Las Vegas.

Understanding the motivations behind colleagues who are stingy with their time and knowledge as opposed to those who are more giving may facilitate more collegial relationships with both.

Catch up on the top radiology content of the past week.

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.

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.

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.

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.

In a recent interview, Jamie Williams, M.D., discussed newly published research findings revealing the impact of high-resolution digital breast tomosynthesis (DBT) on breast cancer detection and recall rates.