
Radiology
@radiology_rsna
A monthly journal devoted to clinical radiology and allied sciences, owned and published by RSNA.
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ID: 31073292
http://radiology.rsna.org/ 14-04-2009 06:26:09
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This secondary analysis examines the predictive value of clinical and MRI-based radiomics features for ductal carcinoma in situ (DCIS) disease upstaging at surgery vs DCIS score. Columbia Radiology UW Medicine Brown Biostatistics Kalina P. Slavkova Despina Kontos bit.ly/3YcDFD8



Read on for updates and revisions to the ACR Manual on MR Safety in this article by Pedrosa et al. Cincy Kids Radiology UCSF Imaging Jonathan Dillman Michael Hoff bit.ly/3Yg9nj1


Wu and Zhu et al from Mayo Clinic/Mayo Clinic Radiology studied the association of mechanical liver tissue heterogeneity at MR elastography versus metabolic liver disease progression. Read on to see the results! bit.ly/42qhITG



Dr. Moura Cunha of UW Radiology, co-chair of the LI-RADS Reporting Working Group, comments on the assessment and management of metabolic dysfunction–associated liver disease, especially in light of the results from the study by Wu and Zhu et al. doi.org/10.1148/radiol…

🚨 New episode of the Radiology podcast! 🚨 Linda Chu, MD speaks with Jakob Wasserthal & Tugba Akinci D'Antonoli about #TotalSegmentator MRI and how it's changing the game in medical imaging and research. #RadPodcasts bit.ly/3QZQRsC


🧵Tweetorial: 1/ Can #AI outperform radiologists in detecting contralateral breast cancer after mastectomy? New study in Radiology puts standalone AI to the test on unilateral mammograms in women with prior mastectomy. #BreastImaging Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy

Bøgh et al performed deuterium metabolic imaging with FDG PET in patients with Alzheimer disease to investigate any shifts from oxidative to anaerobic metabolism. Read on to find out what they discovered! Christoffer Laustsen bit.ly/4ipYEdj


Dr. Port from Mayo Clinic Radiology and Mayo Psychiatry comments on the future applications of metabolic imaging in a broader sense. doi.org/10.1148/radiol…





🚨New in @Radiology_RSNA In 17,646 patients, sarcopenia was detected on CT in 28.5% but coded in EHR in just 0.05%. Sarcopenic obesity? 5.7% vs. 0% CT+AI exposes major gaps in documentation. shorturl.at/u0iIb Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy Stanford Radiology Akshay Chaudhari


Learn more about the methods and results behind RadSearch, a scalable semantic search model with LLM integration for radiology report retrieval, in this original research study. UMMCRadiology Cody Savage Gunvant Chaudhari Andrew Smith Jae Ho Sohn, MD, MS bit.ly/3RUglqc


