#RadSky #MedSky #Radiology #RadRes #RadEdu #LIRADS #HCC #Liver #Cancer

#RadSky #MedSky #Radiology #RadRes #RadEdu #LIRADS #HCC #Liver #Cancer

A multicenter multinational retrospective study of the 1-year natural history of LI-RADS 3 observations in patients with cirrhosis - European Radiology Objectives To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS) 3 observations on contrast-enhanced MRI in cirrhotic patients across multiple international…

Independent predictors of progression included lesion size (≥9.5 mm), Child-Pugh class C and alcohol-related liver disease.

#LIRADS #HepatocellularCarcinoma #PrecisionMedicine

We're excited to introduce the Radiology Calculators mobile app 📱🩻

30+ calculators in one place: from ACR RADS (#ORADS, #LIRADS, #PIRADS, #TIRADS) to #AAST trauma scoring, volume calculations, and more

🚀 Available on iOS & Android: radathand.com/apps/radcalc...

#Radiology #RadTwitter #MedTwitter

#InsightsIntoImaging
#SAR25
#SAR2025
#LIRADS
#MedSky
#RadSky

The #LIRADS Treatment Response Algorithm (TRA) helps radiologists to assess HCC treatment response after locoregional therapy using CT and MRI.

Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis - Robert G. Adamo, Eric Lam, Jean-Paul Salameh, Christian B. van d... Background: Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carci...

🚨 How reliable is CT/MRI LI-RADS for diagnosing HCC in global populations?

New meta-analysis of 2,958 patients reveals:
⭐88% sensitivity & 82% specificity for HCC detection
⭐Consistency across key risk factors like cirrhosis & chronic HBV

🔗 Full study: doi.org/10.1177/0846...

#HCC #LIRADS #CTMRI

DEFINE_ME

#LIRADS is now endorsed in the EASL clinical practice guidelines for the management of #HCC!

A major update for #LIRADS and radiology community!

www.journal-of-hepatology.eu/article/S016...

A new study published in #InsightsIntoImaging developed a large language model (LLM) for #LIRADS v2018 categorization of hepatic observations based on free-text descriptions from MRI reports.

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