Mohammad Khalafi, MD

Postdoc Researcher @WCMRadiology, Brain Health Imaging Institute (BHII) || Associate Editor (TEB) @Radiology_RSNA

[Mohammad Khalafi, MD @klf_mohammad]

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

[Gloria Chiang, MD @GloriaChiangMD]

Earlier (40-60min) 18F-MK6240 #tau PET acquisition may be just as robust as later (90-120min) frames, while reducing skull/meningeal uptake. #Alzheimers #neuroimaging @WCMRadiology #BHII
https://t.co/AZJZWxzhiL

[NBA @NBA]

FOR THE FIRST TIME IN 53 YEARS, THE KNICKS ARE NBA CHAMPIONS 🏆

New York defeats San Antonio 4-1 in the NBA Finals, capturing their third championship in franchise history!

[NEW YORK KNICKS @nyknicks]

job’s done ✅

[Mohammad Khalafi, MD @klf_mohammad]

Wooooooow🤩🤩🤩🤩🤩🤩🤩👏👏👏👏👏👏👏👏
Congrats New York 😎🫡
#Knicks #NBA

[Mohammad Khalafi, MD @klf_mohammad]

THIS IS NEW YORK KNICKS 🤩😎🫡

#NBA

[Mohammad Khalafi, MD @klf_mohammad]

@eniscy @UTMBRadiology Congrats Enis👏👏👏

[NEW YORK KNICKS @nyknicks]

THE PLAY THAT PUT THE KNICKS UP 3-1.

[Mohammad Khalafi, MD @klf_mohammad]

THIS IS NEW YORK KNICKS 🤩😎🫡

#NBA

[Mohammad Khalafi, MD @klf_mohammad]

8/8 Takeaway: AFs are a must for HBA-MRI post-LRT, significantly improving sensitivity (57.5% ➡️ 67.1%, P = 0.002). When evaluating post-LRT HCC with HBA, do not ignore T2 and DWI!  
Read more ➡️:  https://t.co/7ZSvB3OSbM
@RadiologyEditor @VChernyakMD @SuhnyAbbara

[Mohammad Khalafi, MD @klf_mohammad]

1/8 Can MRI contrast selection alter post-treatment tracking in #HCC? New @radiology_rsna study pits ECA vs HBA agents head-to-head using #LIRADS Nonradiation Treatment Response Algorithm v2024 to find out which catches viable #HCC best!  #RadInTraining #Tweetorial @RITEditor

[Mohammad Khalafi, MD @klf_mohammad]

7/8 With AFs applied, sensitivities became statistical equals:
• ECA Sensitivity: 76.7%
• HBA Sensitivity: 67.1%
• P = 0.16 
Integrating structural and diffusion biology levels the playing field across contrast types!

[Shailendra Katwal @ShailendraKatw4]

#RIAM (Radiology in a Minute)@radiology_rsna
Artificial Intelligence Detection Scores in Screening Mammography for Early Breast Cancer Alerts
Full study link :
https://t.co/TDRS8umLju
@RITEditor @RadiologyEditor
@VChernyakMD #RadInTraining

[Enis C. Yilmaz, MD @eniscy]

📍 One-year follow-up after US-guided transperineal focal laser ablation (TPLA) of localized prostate cancer, a worldwide registry study 🚨👇

#ProstateCancer #FocalTherapy #FLA

@RITEditor @VChernyakMD #RadInTraining #Tweetorial 🧵
@Radiology_RSNA @RadiologyEditor @SuhnyAbbara

[Mohammad Khalafi, MD @klf_mohammad]

8/8
Takeaway: AI-automated MVO radiomic analysis deciphers latent signals in #CardiacMRI that we simply can't see. It's a faster, more precise way to risk-stratify STEMI patients and move toward personalized post-MI care!
Read more ➡️: https://t.co/Ua2772Cx13

[Mohammad Khalafi, MD @klf_mohammad]

1/8
Can AI-driven radiomics decode the "no-reflow" phenomenon in #STEMI? New @radiology_rsna multicenter study uses an #AI framework to quantify microvascular obstruction (MVO) heterogeneity and predict Major Adverse Cardiovascular Events ! #RadInTraining #Tweetorial @RITEditor

[Mohammad Khalafi, MD @klf_mohammad]

7/8
The Power of Integration: By combining Radscore with LVEF, researchers created distinct prognostic groups.
High Risk: LVEF ≤ 40% + High Radscore.
These patients showed significantly elevated MACE rates, potentially identifying who needs more aggressive follow-up.