- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
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.
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.
