Check our recent article on the diagnostic imaging findings of vascular anomaly syndromes and the role of IR in their management RadioGraphics
So proud to work with such a great team!
#RadEd #radiology

I always pass by these crepe myrtles and they look nice in the summer. Yesterday, I took a closer look and realized how their beauty is underestimated!
#MacroMonday #photography

Absolutely thrilled to have our abstract 'comparison of PET-derived parameters in PD-1 vs ADC-based therapies in advanced stage #cHL ' accepted at this year's #ISHL in Cologne, Germany!
I am really grateful to my mentors and colleagues who made this possible.
#imaging #lymphoma

*looming deadlines and a long to-do list *
My brain: 'pizzicato is an off-label use of strings and no one is calling for its regulation'

Finally got a chance to use Procreate for some illustrations and I love it! This is a time-lapse of illustrating a closed loop small bowel obstruction for a #Radiology educational project.
#MedEd #RadEd #medicalillustration

Fresh off the press! Super excited to share my first-author RadioGraphics manuscript 'Neurofibromatosis from Head to Toe: What the Radiologist Needs to Know!' Extremely grateful for the collaborative efforts on this product.

Khaled Elsayes Jonathan Dillman Serageldin Kamel, MD

Segmentation is my favorite part of any imaging project. It reminds me of using state-of-the-art photoshop tools in 2007s to add my friends to photos of their favorite teams back in high school. Tacky or not, it was fun and I may include those years of experience in my resume.

In our recent publication, #kinesthetic motor and visual #imagery practice improved motor function in #Parkisnons disease. Find out more about the motor and visual imagery training-specific effects in whole-brain functional #connectivity (open access):
sciencedirect.com/science/articl…

Great work by the authors. MTV is again showing an additional value in risk stratification of cHL patients. Still, the standardization of segmentation methods and access to shared imaging datasets remain big challenges for implementing PET quantification in the clinical practice