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#10 Bottom line: UDFF shows high accuracy, low cost, and has potential for broad accessibility It’s a promising tool for large-scale MASLD screening

#9⚠️ Limitations Only 9 studies included Most studies used the same ultrasound vendor (Siemens) Liver fibrosis may affect UDFF but wasn’t consistently reported MRI-PDFF, while noninvasive gold standard, is not perfect vs biopsy.

#8 Sensitivity analyses (excluding high-bias or outlier studies) didn’t change overall results UDFF performed well across different subgroups ✅ Intra- and interobserver ICCs > 0.93 in multiple studies ✅ Good consistency across clinical settings

#7 Pooled diagnostic accuracy of UDFF: ✅Sensitivity: 90.4% (95% CI: 84.0–94.4%) ✅Specificity: 83.8% (95% CI: 75.1–89.8%) AUC of sROC: 0.93 Low heterogeneity (I² = 22.2%)

#6 🔬 Methods Databases searched: PubMed, EMBASE, Cochrane (until Nov 2024). Inclusion: UDFF studies with MRI-PDFF as reference with reported sensitivity/specificity. Bias assessed w/ QUADAS-2. Stats: Bivariate random-effects model, AUC via bootstrapping, heterogeneity via I²

#5 📚 To answer that we conducted a systematic review + meta-analysis 🧪 9 studies 👥 1150 patients 📍 Mostly single-center, prospective designs 🧬 Median steatosis prevalence: 63.8% 📈 UDFF-MRI correlation: 0.80–0.96

#4 Ultrasound (US) is widely available and cost-effective, but B-mode is qualitative and operator-dependent. 💡 UDFF is a new technique that combines attenuation + backscatter to estimate fat %—without using a phantom. But is UDFF diagnostically reliable?

#3 Magnetic Resonance Imaging–Proton Density Fat Fraction (MRI-PDFF) has been an accurate, noninvasive reference standard for quantifying liver fat — but it is expensive and not always widely accessible.

#2 📌 MASLD (formerly NAFLD) is defined by ≥5% liver fat and ≥1 cardiometabolic risk factor. It’s a growing global burden and can progress to NASH, fibrosis, and cirrhosis. Liver biopsy = gold standard but invasive and impractical for clinical practice

Happy to share, hot off the press, a systematic review and meta-analysis on the diagnostic performance of Ultrasound-Derived Fat Fraction (UDFF) in detecting hepatic steatosis. #medtwitter #tweetorial https://t.co/UEbtIYxGu3

Much is said about radiomics and texture analysis. When did we forget about textile analysis? #radiology

@giuliani_luiza @ThomazMostarde1 @bmuradc @metaacademy_ofc

Hot off the press: A meta-analysis comparing the lesion detection rates of 3D DIR versus 3D FLAIR in the context of MS. Open link: https://t.co/sR9LNgln5B

Great news! 7 abstracts approved for RSNA @RSNA #Radiology @metaacademy_ofc

Huge congratulations to our #MetaMasters in #radiooncology for their recent publication in a journal with an impact factor of 10.8! Your dedication and hard work are truly inspiring.

Biparametric versus multiparametric MRI for the detection of clinically significant prostate cancer in a diverse, multiethnic population | Abdominal Radiology 👴🏽👨🏼👨🏾👨🏿👨🏻 Open access 🔓

Guilherme Strieder de Oliveira et al. compared the diagnostic performance of ultrasound (US) and CT when diagnosing acute cholecystitis: US performed after CT for suspected AC may be unnecessary in most cases. #EuropeanRadiology 🔗 https://t.co/rhpIwnalIC

Our #MetaMasters students have just published a groundbreaking meta-analysis in #radiology on diagnosing acute cholecystitis. Congrats to these future leaders in medical research!

🛎️ Happy to share our latest @EurUrolOncol publication. 🔘 #ProstateMRI Using the PI-RR Scoring System to Detect Recurrent #ProstateCancer: A Systematic Review and Meta-Analysis 👇Full article (50 days’ free access): https://t.co/JzxRQendYN