The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
COVID-19 halted all cancer screening services at the beginning of the pandemic, and slowly those scans have become more and more available -- but, not necessarily for everyone.
In many instances, racial and minority patients continue to face the same healthcare disparities that made it difficult for them to access the services at the outset. Now, the fear and trepidation associated with the pandemic are layered on top.
Despite these difficulties, there are things healthcare institutions and providers can do to help. In this episode of The Reading Room, Diagnostic Imaging spoke with Shalmon Kalnicki, M.D., chair of radiation and oncology at Montefiore and Albert Einstein College of Medicine about the challenges these patients continue to face with cancer screenings. Not only did he share with us how COVID-19 has impacted this existing problem, but he also outlined the steps institutions can take to improve this situation.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
