Not sure about you, but I’m kinda obsessed with our Ghibli-style version 🤩😎.#NewYork .#Empirestate

RT @VChernyakMD: Incredible news! #LR5 (Definite #HCC) criteria of #LIRADS, including #CEUS, are now fully aligned with #OPTN . #liver #tra….

RT @braincomms: Gonzalez-Ortiz et al. report plasma p-tau217 measurement in newborns; levels are significantly higher in healthy newborns t….

RT @GloriaChiangMD: How will #radiology transform patient care? Our musings @WCMRadiology #BHII #Alzheimers .

RT @TheASNR: Register now for a free #ASNR and #ASFNR webinar on July 9. Join us at 1:00 pm ET (note the different time) for Seeing The Inv….

RT @RadiologyEditor: The full June issue of #Radiology is now online! The cover features images from the article by Schiebler et al. 🩻 Exp….

RT @RadiologyEditor: Radiology’s impact factor rose to 15.2 in 2024!. Ranks #1 in Journal Citation Indicator and Journal Impact Factor amon….

RT @VChernyakMD: 2 min and 20 sec - that’s all.It takes to review the findings in this latest @radiology_rsna publication on cardiac #MRI 😃….

Great insights - thanks for sharing your thoughts on #Alzheimer’s Disease! @suzie_bash @nuromri @MarwanSabbaghMD @tlsmit1 @TheASNR . #Radiology #RadInTraining.

Thrilled to be selected as an Associate Editor for @radiology_rsna: In Training Board! Honored to serve, learn, and contribute to advancing medical imaging research! Thank you🙏 @VChernyakMD @DrLindaMoy @RadiologyEditor #Radiology #TraineeEditorialBoard #RadInTraining

@RSNA @radiology_rsna @RSNATrainees @RadiologyEditor @VChernyakMD 3/ .Takeaway: Whole-brain MRSI + EPTI = fast, individualized metabolic imaging. ✅ Closer to true values in disease.✅ Better tumor visualization.✅ Only ~11 minutes total scan time.Big step for clinical MRSI in #glioma!.#Radiology #RadInTraining #NeuroRad #Tweetorial.

2/ .Why it matters: Traditional MR spectroscopy struggles in tumors due to water signal changes. Combined MRSI with EPTI yields more accurate patient-specific metabolite levels. ✅ Internal water reference.✅ Fast EPTI correction.✅ High-res 3D metabolic mapping.#RadInTraining

1/. 🧠 Can we achieve faster and more accurate metabolite quantification in glioma? A novel MRSI-EPTI method enables whole-brain 3D absolute quantification in just 8 minutes! #Radiology #RadInTraining #Tweetorial #TraineeEditorialBoard.🔗

RT @RadiologyEditor: ICYMI: This week’s sponsored episode of the @radiology_rsna podcast dives into imaging innovation for #AlzheimerDiseas….

@radiology_rsna @RSNATrainees @RSNA @RadiologyEditor @VChernyakMD 4/ .This QIBA report is more than guidelines - it's a blueprint!.✅ Standardizes DWI in clinics!.✅ Enables confident tracking of treatment response!.✅ Supports high-impact research!.#Radiology #MRI #QuantitativeImaging #QIBA #DWI 🔗

3/.For ADC to shine as a quantitative biomarker:.✅ Use consistent scanners/protocols.✅ Minimize bias across sites.✅ Validate advanced tech (AI, new #DWI methods) via test-retest in ≥35 subjects + calibrated phantoms.📏 Precision meets practicality.

2/ .How much change in ADC is real? This gem defines it:.Brain: >8%.Liver: >27%.Prostate: >27%.Breast: >15%.➡️ These thresholds = 95% confidence in true biological change - when using standard DWI protocols and the same scanner!.#RadInTraining #Radiology.

1/ .#Tweetorial 💎 A true gem in quantitative imaging!.The QIBA special report on ADC in diffusion-weighted MRI sets rigorous standards for using ADC as a reliable biomarker in brain, liver, prostate, and breast imaging. @RSNATrainees @radiology_rsna @RSNA #RadInTraining #DWI

RT @PeerView: Join Ana M. Franceschi, MD, PhD (@AFrances_MDPhD), and Gloria Chiang, MD (@GloriaChiangMD), on 6/4 at 12 PM EDT for an #Alzhe….

@radiology_rsna @RSNATrainees @RSNA 4/.Bottom line: PET-derived fill states may improve early detection, staging & monitoring of Alzheimer’s disease beyond SUV ratio. This could reshape clinical trials and routine imaging!.#Neuroimaging #Alzheimer #PETimaging #RadTwitter #MedTwitter #Radiology #RSNA.

@radiology_rsna @RSNATrainees @RSNA 3/.What’s exciting? Fill states independently predicted cognitive impairment severity even after adjusting for SUV!.💡 Plus: A CNN could estimate amyloid & tau fill states without needing a control group - paving the way for clinical scalability!