RadioGraphics
RadioGraphics is a journal devoted to continuing medical education in radiology and is owned and published by Radiological Society of North America (RSNA).
RadioGraphics is devoted to continuing medical education in radiology and is owned and published by Radiological Society of North America (RSNA). RadioGraphics is available both online and in print. The journal is published bi-monthly with a special monograph issue featuring one imaging subspecialty published each October.
09/18/2026
Not all PSMA uptake is prostate cancer. Recognizing physiologic, benign, and malignant mimics is key to avoiding false-positive interpretations. Learn a structured approach integrating uptake, location, anatomic findings, and clinical context.https://pubs.rsna.org/doi/10.1148/rg.250164
Comprehensive Approach to Prostate Cancer Metastasis Mimics at Prostate-Specific Membrane Antigen PET/CT | RadioGraphics Prostate-specific membrane antigen PET/CT greatly improves the detection of prostate cancer metastases but is not prostate cancer specific, and a holistic review of lesion location, uptake intensit...
09/17/2026
Are we training radiology residents to think or simply to pass a test? Radiology education must evolve to emphasize real-time reasoning, communication, and clinical decision making. https://bit.ly/4Ajzjfa
Radiology Board Examinations: A Fundamental Shift | RadioGraphics Education CornerJul 2 2026Radiology Board Examinations: A Fundamental ShiftAuthors: Katie S. Traylor, DO https://orcid.org/0000-0002-0014-1837 [email protected], Lea Alhilali, MD https://orcid.org/0000-0002-9059-2454, and Amy Kelly, MD https://orcid.org/0000-0002-9971-8033Authors Info & Affiliation...
09/16/2026
Harmonic and compound imaging are available on nearly every modern US system, but are you using them optimally? Learn how these tools affect resolution and artifacts, and when turning them off may actually improve diagnosis, https://bit.ly/4xKSmN3
US Tissue Harmonic and Spatial Compound Imaging: What Are They and How Do They Change the Image? | RadioGraphics Tissue harmonic and spatial compound imaging, widely used US techniques, improve image quality by reducing noise and artifacts through complementary mechanisms.
09/14/2026
It’s Peer Review Week 2026! We’re very grateful to our RadioGraphics peer and panel reviewers for their expertise and important contributions to our journal.
09/09/2026
The latest Cases from the Cooky Jar features characteristic imaging findings of Whipple disease, a rare chronic multisystem infection, https://bit.ly/4xLwfXi
08/19/2026
What CT findings help differentiate recurrent lung cancer from benign posttreatment changes? This review summarizes imaging features of recurrence, treatment-related alterations, and practical approaches for accurate surveillance interpretation. https://bit.ly/4qohPcJ
🚨 New episode of podcast is now available!🚨 Drs. Castro, Kase, & Miyahara discuss how to recognize normal developmental findings in the pediatric SI joint & avoid common MRI interpretation pitfalls when evaluating for sacroiliitis
08/14/2026
Can AI transform radiology education? This review explores how AI can enhance every stage of curriculum development, from needs assessment and adaptive learning to assessment and program management. Educators must stay at the center.
Advancing Radiology Education with Artificial Intelligence: Curriculum Planning, Implementation, and Evaluation | RadioGraphics Artificial intelligence can be applied across radiology education to enhance curriculum development and delivery through data-driven needs assessment, content and assessment generation, personalize...
08/13/2026
Inflatable pe**le prostheses are being used more often to treat erectile dysfunction. Do you recognize the normal MRI appearance and imaging complications? This practical review covers key findings, pitfalls, and structured reporting. https://bit.ly/45mUxdP
08/12/2026
There's a reason for every poorly enhanced CT image. This review explains how physics, patient factors, and contrast agent protocols determine image quality and provides a practical framework to optimize contrast-enhanced CT scans. https://bit.ly/3TNKlsh
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