@iamritu @echo_batman @JournalASEcho @ASE360 @NMerke @echo_stepbystep @denisamuraru @EACVIPresident @pattypellikka @LucySafi @CASivaram1 @alex1708ander Very interesting pathology physiologically on flow hemodynamics.
Cringleford, England 🇬🇧 English
Pankaj Garg
2.6K posts
Pankaj Garg
@HEARTinMagnet
Asso. Professor in Cardiology @UEA | Fellow @WellcomeTrust | Consultant Cardiologist @NNUH | #CMR #4DFlow #Echo #haemodynamics #HF 🇪🇺🇬🇧🇮🇳🌎🫀
Norwich, England Katılım Mart 2018
590 Takip Edilen1.6K Takipçiler
@echo_batman🏆📝
Vmax/Vmean reflects TR CW Doppler & RV adaptation to pulmonary vascular load
Even when Vmax is similar,
Vmean can differ, w distinct TR CWD shapes
Persistent ⬆️ after PH-targeted Rx ids pts w ⬆️ risk for ☠️ or HFH bit.ly/3TcLRE3
Pittsburgh, PA 🇺🇸 English
Pankaj Garg retweetledi
Is cross-sectional imaging non-inferior invasive angiography in patients presenting with heart failure?
We will answer this question in CROSS-HF!
isrctn.com/ISRCTN12403403
English
Pankaj Garg retweetledi
🫀🤖 Heart failure is not just about the heart anymore.
A new study shows how AI + multi-organ ultrasound can redefine congestion across the HF spectrum 👇
✨ Key insights:
🌊 Congestion = multi-organ phenomenon (lungs, kidney, liver, IVC)
🧠 AI integrates clinical + echo + lab data → better phenotyping
📊 A simple 3-item model (IVC + LUS + RVF) predicts multi-organ congestion
🎯 Key predictors:
👉 LV function (S’)
👉 Pulmonary pressures
👉 LA volume
👉 Metabolic + clinical factors
💡 As highlighted in the graphical abstract (page 2):
AI doesn’t just detect congestion… it explains it
🚨 Clinical message:
👉 Congestion is often missed clinically
👉 Ultrasound detects it earlier
👉 AI turns it into a precision tool
🎯 Big take-home:
From “is the patient congested?”
➡️ to
“Where, how, and why is the patient congested?”
📄 Read the full paper:
👉
🔗 DOI: 10.1093/ehjimp/qyag036
#Cardiology #HeartFailure #AIinMedicine #Echocardiography #Ultrasound #PrecisionMedicine #CardioTwitter #DigitalHealth #MedTech 🩺📊
English
@Nikhil15 @JACCJournals @PalakShahMD @davebaran @MRMHeart1102 @adrianjdasilva @docbhardwaj @BiykemB @SaraInglisMBBCh @slumberbell @MunirJanmohamed Very interesting and potential for great clinical impact!
Norwich, England 🇬🇧 English
Applying the use of dd-cfDNA beyond ruling out rejection in heart transplantation—results from the multicenter DEFINE-HT study now published in @JACCJournals @PalakShahMD @davebaran @MRMHeart1102
jacc.org/doi/10.1016/j.…
English
Pankaj Garg retweetledi
🧠 Artificial intelligence in cardiac imaging: promise vs reality
📄 Artificial intelligence in cardiovascular imaging: current status and future perspectives
👉 DOI: doi.org/10.1093/ehjimp…
Artificial intelligence (AI) is rapidly transforming cardiovascular imaging—but how close are we to real clinical integration?
🔍 This paper provides a comprehensive overview of where we stand today and what still needs to be addressed.
📊 Key points:
➡️ AI shows strong potential in:
Automated image acquisition
Faster and more reproducible measurements
Advanced risk stratification
➡️ Particularly impactful in:
Echocardiography (automation & workflow)
CMR (tissue characterisation & segmentation)
CT (plaque analysis & quantification)
⚠️ However, several challenges remain:
👉 Limited generalisability across populations
👉 Need for large, high-quality annotated datasets
👉 Lack of transparency (“black box” issue)
👉 Regulatory and medico-legal uncertainties
📉 As highlighted in the figures (pages 2–4), the gap between technical development and clinical adoption is still significant
💡 Importantly:
AI is not replacing clinicians—but augmenting decision-making and improving efficiency.
🌱 Take-home messages:
✔️ AI can enhance accuracy, reproducibility, and workflow
✔️ Integration into clinical practice is still evolving
✔️ Education and validation are key for safe implementation
✔️ Human oversight remains essential
🚀 The future of cardiac imaging will likely be a hybrid model, combining clinical expertise with AI-driven tools.
#Cardiology #CardiacImaging #AI #ArtificialIntelligence #Echo #CMR #CT #MedEd #DigitalHealth #CardioTwitter
Română
Pankaj Garg retweetledi
🎙️ EACVI CardioTalk Ep032 | Advances in Cardiovascular Imaging
When does flow matter in cardiovascular imaging?
Join Dr Alexander Gall and Prof @HEARTinMagnet as they discuss Clinical Insights from 4D Flow CMR and explore the evolving role of cardiovascular magnetic resonance in mitral valve disease.
🫀 In this episode, they review key findings from their recent article published in the European Heart Journal and discuss how 4D Flow CMR can enhance our understanding and assessment of valvular heart disease.
📖 Read the article:
doi.org/10.1093/eurhea…
🎧 Listen to the podcast:
esc365.escardio.org/event/2592
@rafavidalperez @YBououdina @MSBBrandao @ydaryani @Elizabeth_antos @pfelissamburu @CharlesFauvel @alexsfelixecho @galzeranod @andgiannopmd @hrt01a @WilliamKokFaiK1 @M_Marwan_ @drahmedmohsen85 @aniela_petrescu @benayozbay @slumberbell @senguptasp @ElizabetaK10533 @samsrivastava77 @MihaiTrofenciuc @C_VanDeHeyning @drozgeozden @Giulia_Vinco @VazyurVasquez
#EACVI #CardioTalk #CMR #4DFlowCMR #CardiovascularImaging #MitralValveDisease #EHJ #Cardiology #MedEd
English
Pankaj Garg retweetledi
Check out my latest article: Manchester and Sofia linkedin.com/pulse/manchest… via @LinkedIn
English
Pankaj Garg retweetledi
bscmr.org/event/bscmr-we…
Coming up this week @BSCMR @DrJamal_Khan @ThomasTreibel @pswoboda81 @HEARTinMagnet
English
Pankaj Garg retweetledi
Can sirolimus eluting balloons redefine complex #PCI strategies?
In this interview, @Simoneccles66 discusses with @gmcioffi about the evidence from the SELUTION DeNovo trial and the evolving role of drug-eluting balloons in complex coronary interventions. 🫀📈
#EuroPCR #interventionalcardiology
English
Pankaj Garg retweetledi
Our ESC Clinical Consensus Statement on Women’s Heart Centres is published in @EurHeartJ merging 4 associations @EACVIPresident @EAPCIPresident @HFA_President @ACVCPresident
Link ➡️ academic.oup.com/eurheartj/adva…
ESC press release ➡️ escardio.org/news/press/pre…
This is the first statement to define what a Women’s Heart Centre actually is: its structure, its team, its referral pathways, and the training standards clinicians need to lead one.
The problem: CVD is the #1 killer of women. Yet women face systematic delays in diagnosis and treatment and the conditions most likely to affect them (INOCA, MINOCA, pregnancy-related CVD) remain underdiagnosed everywhere.
Our solution: hub-and-spoke Women’s Heart Centres, embedded in existing CV systems, not parallel structures. Advanced diagnostics, multidisciplinary care, research coordination.
For the first time we define:
✅ The nucleus clinical team
✅ Adjunct specialties (cardio-obstetrics, oncology, rheumatology, psychology and more)
✅ Core vs advanced competencies
✅ A pathway toward subspecialty certification
We also set milestones for national and institutional adoption.
This has been a Herculean effort and an important task to lead this document with enormous gratitude to senior author @DrMarthaGulati for her mentorship and friendship - really grateful to @Drroxmehran @rafavidalperez @mmamas1973 @HeartDocSharon @Bharatishivalka @PrSusannaPrice1 @Cosyns @VictoriaDe32503 @d_trabattoni @Marta33717088 @ARakisheva @yappelman @mirvatalasnag @lesleejshaw @alessia_gimelli
#WomensHealth
#Cardiology
#WomensHeartDisease
#CardioTwitter
#ESC
#EACVI
#HeartDisease
#WomensHeartCentre
#CVD
#CardioEd
English
Pankaj Garg retweetledi
EHJ-IMP Editor-in-Chief@EHJIMPEiC
📄 4D-flow CMR meets diastology: can we finally assess E/e′ with MRI? 🔗 DOI: doi.org/10.1093/ehjimp… 🫀 Diastolic dysfunction (DD) is a key early marker of heart disease—but CMR has traditionally struggled to assess it. This study introduces a novel solution: 👉 CMR-derived 4D-flow E/e′ for biventricular diastolic function assessment ✨ What’s new? 👉 Combines: ✔ 4D-flow transvalvular velocity (E) ✔ CMR-derived tissue velocity (e′) ➡️ Recreating the classic echo parameter (E/e′) using MRI 📊 As shown in the graphical abstract (page 2): 👉 simultaneous evaluation of LV + RV diastolic function ✨ Study at a glance: 🔹 132 participants 75 healthy controls 57 CVD patients 🔹 Full biventricular assessment with 4D-flow + strain/annular motion ✨ Key findings: 📈 4D-E/e′ is higher in CVD patients ➡️ reflecting impaired relaxation 📊 Excellent diagnostic performance: ➡️ LV DD detection: AUC ~0.90 📌 Best method: 👉 annular velocity–based e′ 📉 Hidden disease uncovered: 👉 Among patients WITHOUT prior diastolic assessment: ➡️ 71% had abnormal LV diastolic function ➡️ 61% had abnormal RV diastolic function ⚠️ A major proportion of DD is currently missed in clinical practice 📊 Strong validation vs echocardiography: ✔ E velocity: r = 0.81 ✔ E/e′: r = 0.77 ➡️ As shown in Figure 3 (page 6): 👉 strong correlation with echo 🧠 Why this matters: 👉 CMR already performed in many patients ➡️ Now it can also provide: ✔ diastolic function assessment ✔ biventricular evaluation ✔ detection of early/subclinical disease ⚡ Key innovation: 👉 First robust demonstration of: integrated flow + tissue metric (4D-E/e′) using CMR ➡️ Overcomes limitations of: ❗ 2D flow ❗ static imaging planes 💡 Clinical take-home message: 👉 CMR is no longer “systolic-only” ✔ 4D-flow enables comprehensive haemodynamic assessment ✔ Can detect undiagnosed diastolic dysfunction 🚨 Bottom line: 4D-flow CMR brings echocardiographic E/e′ into MRI—unlocking a new era of full functional cardiac assessment. #Cardiology #CMR #4DFlow #DiastolicDysfunction #HeartFailure #CardiacImaging #EoverEprime #PrecisionMedicine #DigitalHealth 🫀📊
QAM
Pankaj Garg retweetledi
#ICNC Congress: great speakers in a friendship atmosphere. 🙏 for the invitation.
@HyafilF @premsoman123 @MyASNC @AmandaBaccarini
English
A very steep pyramid to climb, where the ‘words’ do not match the ‘actions’.
Reform is needed lest we lose clinical academia in the UK.
The base is not broad or foundational
The middle is squeezed & slippery
The apex is solitary & narrow.
@bmj_latest
bmj.com/content/393/bm…
English
@cpgale3 @bmj_latest I couldn't agree more 💯. Sad state of affairs!
Cringleford, England 🇬🇧 English
Pankaj Garg retweetledi
Stunning #POLECHO2026 celebrated in Kielce! ❤️
✨ Record-breaking attendance with more than 1,300 delegates onsite
🔝 Inspiring sessions showcasing the latest innovations in digital health, #AI, and transcatheter interventions for valvular heart disease
💜 Superb clinical case discussions
💕 Fantastic networking with brilliant colleagues and friends
An outstanding meeting filled with innovation, collaboration, and learning. Looking forward to the next edition!
@denisamuraru @s_e_petersen @NAjmoneMarsan @rmanka_ @gpontone1 @alessia_gimelli @RNijveldt @andgiannopmd @PezelT @AnnaBaritussio @anatimoteo46040 @Matte_Cameli @DrGEMandoli @rafavidalperez @VictoriaDe32503
English
Pankaj Garg retweetledi
The world’s leading experts in #AorticDisease are coming to Barcelona
Join the @MarfanFoundation, #GenTAC and the @escardio WG Aorta for 4 extraordinary days
📅 Oct 4–7, 2026
⚠️ Abstract deadline: May 15
⚠️ Early registration until July 31
Web page: marfan.org/ScienceinSpain/
English
Find out how open access can help science by paying $31.50.
English
Pankaj Garg retweetledi
Thanks @PCRonline for the opportunity to share brief thoughts on why AR is different than AS and the awareness of how to approach moderate AR or any valvular disease.
PCRonline 🫀@PCRonline
PCR Perspectives: Why is TAVI a different procedure in patient with pure aortic regurgitation? pcronline.com/Cases-resource… @jgranadacrf, Michael Borger and @joaolcavalcante discuss why aortic regurgitation requires a distinct approach during aortic stenosis, highlighting the importance of careful imaging and patient selection. #interventionalcardiology #PCRLV #TAVR
English
Pankaj Garg retweetledi
🚨 Ready to showcase your work on a global stage? #EACVI2026
The full spectrum of CV imaging—where your research gets recognised. Submit now and bring your science into focus.
🌍 Free registration for 🔝abstracts and cases
⏳ Deadlines:
• Abstracts: 21/5
• Clinical cases: 2/6
English
Pankaj Garg retweetledi
Update on Aortic ViV App! Check it out, now BRAILE Valves are available on the App @bapat_savrtavr @MHIF_Heart #ViV #Valve-in-Valve
English