Please subscribe my YouTube channel: bit.ly/2DWogkJ I would like to present my project (echocardiography step by step®). With my project, I want to take you into the world of echocardiography through the prism of my experience.

#EHJCVI 🫀 More cancer survivors = more CV risk focus. Cardiac imaging must be tailored to unique clinical circumstances and individual patient characteristics. Don't overlook PAD in baseline assessments❗ #CardioOncology 👉 doi.org/10.1093/ehjci/jeag10…

Assessment of left ventricular diastolic function remains one of the most persistent challenges in echocardiography. Read our @JournalASEcho article, "Reframing Diastolic Function: From Classification to Continuous Physiology." bit.ly/4xrrH8U

#EHJCVI 🫀 Sex differences in alloHSCT outcomes: same MACE, but rLVEF independent predictor of early MACE ONLY in females. ♀️HF & pericardial disease ♂️HF & SVT ⏳TIME for sex-specific risk stratification. Read more 👉 doi.org/10.1093/ehjci/jeaf36… #CardioOncology

Don’t miss this Opportunity #echofirst finest masterclass Online or also onsite Sunday 28.06.2026 echokardiographie-leipzig.de…

Most echocardiography laboratories have adopted the 2016 diastolic guidelines. With the release of the 2025 update, an important question arises: What are the key conceptual differences between the 2016 and 2025 approaches to diagnosing diastolic dysfunction? academic.oup.com/ehjcimaging… @JGrapsa

#EHJCVI 🫀| Over 24 years, normal myocardial perfusion imaging scans #CVNuc increased (53% -> 66%) at a Swiss tertiary center. Read more about possible reasons why 👉 doi.org/10.1093/ehjci/jeag07…

Assessment of diastolic dysfunction remains one of the most challenging areas in echocardiography. Our new manuscript highlights key challenges, practical solutions, and common misconceptions in diastolic function evaluation. academic.oup.com/ehjcimaging… One of the central concepts is the “diastolic dysfunction framework,” which places the traditional echocardiographic definition of diastolic dysfunction into a broader clinical and pathophysiologic context. @JGrapsa @EHJCVIEiC

#echofirst ✅ For all those who like 3D echo- how was this 3DE acquired & what does it show? @iamritu @argulian @NMerke @echo_batman @alex1708ander @DavidWienerMD @PWesslyMD @Hragy @DrRajeshG1 @KemalogluOz @BryanTanMD

🌟 The International Highlight of the German Echocardiography Congress 2026 🌟 Dear #echofirst Enthusiasts, We are delighted to invite you to what will undoubtedly be one of the highlights of this year’s congress: an outstanding international symposium bringing together renowned experts in cardiovascular imaging from across Europe. A special thank you to @eromerodorta, whose initiative made this unique collaboration possible. 📅 29 June 2026 🌍 AG5/DGK meets EACVI (European Association of Cardiovascular Imaging) 🎓 Teaching Course & Masterclass ✅ Officially Endorsed by the EACVI This exclusive session will provide state-of-the-art education, practical insights, and expert perspectives from internationally recognized faculty: 🔹 @PhilippeUnger 🔹 @DrGEMandoli 🔹 @StellEkaterina 🔹 @DrTrobs 🔹 @michetomaselli 🔹 #JoschaKandels 🔹 @echo_batman 🔹#RubénFernándezGalera

📄 Does improvement in LV function after MI really matter for long-term prognosis? 🔗 doi.org/10.1093/ehjimp/qyag0… 🫀 In the modern era of early revascularization and optimal medical therapy, most patients survive myocardial infarction with preserved or near-normal LV function. 👉 But one key question remains: Is it still useful to reassess LV function after 1 year? 🔍 This study from the REBUS cohort (n = 256) explores the long-term prognostic value of changes in: ✔ LVEF ✔ Global Longitudinal Strain (GLS) 📅 Follow-up: ~12 years 🎯 Endpoint: HF hospitalization or all-cause death 📊 Key findings: ❌ Improvement in LVEF or GLS at 1 year ➡️ Did NOT improve long-term risk prediction ⚠️ Deterioration in GLS ➡️ Strongly associated with worse outcomes ➡️ HR ~5.6 for HF/death 💡 Baseline GLS outperformed LVEF ➡️ Better long-term prognostic accuracy 🧠 Important insight: 👉 Not all recovery is equal ➡️ Improvement may reflect: ✔ Resolution of myocardial stunning ✔ Not necessarily true prognostic benefit 👉 While deterioration in GLS may signal: ❗ Ongoing myocardial damage ❗ Higher long-term risk 📈 The graphical abstract (page 2) clearly shows: ✔ No added value of LVEF change over time ✔ Strong separation of outcomes with GLS deterioration 🚀 Clinical implications: 👉 Focus on: ✔ Baseline GLS for risk stratification ✔ Identifying patients with worsening GLS 👉 Routine “recovery” of EF alone: ❌ May not be enough for prognostic decision-making ⚠️ Take-home message: 🧩 GLS is not just a nicer number than EF— it may be the key to long-term risk after MI. #Cardiology #Echocardiography #GLS #MyocardialInfarction #HeartFailure #CardiacImaging #StrainImaging #EvidenceBasedMedicine 🫀📊

Next-level scary #echofirst 🦠 Enterococcus faecalis in the blood🩸culture 👉 underwent double valve replacement @NephroP @iamritu @CASivaram1 @NMerke @OungSavly @StellEkaterina @alexsfelixecho @KemalogluOz @echo_stepbystep

📄 Can turbulence improve how we assess aortic stenosis? 🔗 DOI: doi.org/10.1093/ehjimp/qyaf1… 🫀 Aortic stenosis (AS) grading still relies heavily on pressure gradients… ❗ But gradients are flow-dependent ❗ And can mislead us in low-flow, low-gradient AS 👉 So—are we missing something more fundamental? ✨ This study explores a novel concept: 👉 Turbulent kinetic energy (TKE) as a marker of AS severity 🧠 Why TKE? ➡️ Turbulence downstream of the valve reflects: ✔ Energy loss ✔ Haemodynamic inefficiency ✔ “Wasted work” not contributing to forward flow 👉 Potentially a flow-independent marker 🔬 Study design: 🧪 Ex-vivo model with porcine aortic valves 🔁 Different flow rates: 1 – 4 L/min ⚙️ Three stiffness grades: SGa → normal SGb → moderate SGc → severe 📊 Two methods to measure TKE: ✔ Reference: particle tracking velocimetry ✔ Test: colour Doppler echocardiography 📈 Key findings: 🔥 TKE increased with: ✔ Higher flow ✔ Higher valve stiffness 👉 Both methods: ➡️ Successfully distinguished severe vs non-severe AS 📊 At high flow (4 L/min): ➡️ Severe AS showed gradients ≈ 41 mmHg 💡 The key message: 👉 TKE reflects energy loss, not just velocity ➡️ A completely different dimension of valve haemodynamics 🚀 Clinical implications: 👉 Could help in: ✔ Discordant AS cases ✔ Low-flow, low-gradient AS ✔ Situations where gradients underestimate severity 👉 And importantly: ✔ Can be estimated with standard colour Doppler ⚠️ Limitations: ❗ Ex-vivo model ❗ Needs clinical validation 🚨 Bottom line: Turbulence (TKE) may become a new, flow-independent marker of aortic stenosis severity—potentially transforming how we assess difficult cases. #Cardiology #Echocardiography #AorticStenosis #CardiacImaging #Hemodynamics #Innovation #Echo #ValvularHeartDisease #MedTech 🫀📊

The large, uncorrected Atrial Septal Defect, more than 40 mm. Older woman, 65 years old Images are inverted ❗️ More images ⬆️⬆️⬆️⬆️⬆️

#EHJCVI 🫀| Using vascular deformation mapping on #yesCCT, latent aortic growth in ascending aortic aneurysms may represent an imaging biomarker of diffuse genetic aortopathy. 👉 doi.org/10.1093/ehjci/jeag05…

When I saw this it got me thinking about phone use in medical conferences too At a recent meeting, of 12 people in the FRONT row, 5 were on their mobiles instead of listening to the speaker. 3 were fellow speakers! When did we become so uninterested? So distracted? 1/3

📄 Can CT AI improve the diagnosis of Marfan and Loeys-Dietz syndromes? 🔗 DOI: doi.org/10.1093/ehjimp/qyag0… 🧠 Diagnosing heritable thoracic aortic diseases (HTAD) remains challenging—especially when classical criteria are inconsistent or delayed. This study introduces a machine learning–based CT approach to redefine dural ectasia (DE) and improve diagnostic accuracy. ✨ Why this matters: 👉 Dural ectasia is part of the Ghent criteria, but: ❗ No standardized definition ❗ Poor specificity ❗ Limited diagnostic value in practice ✨ Study highlights: 📊 Cohort: 93 Marfan patients (FBN1 variants) Loeys-Dietz cohorts (TGFBR1/2, SMAD3) Matched controls 🔍 Key innovation: 👉 A machine learning algorithm based on just: ✔ 3 vertebral levels (L1, L2, S1) ✔ 4 simple CT measurements: Spinal canal diameter Vertebral scalloping ➡️ Designed for accuracy clinical usability 📈 Results: 🔹 Conventional DE criteria → poor performance ➡️ AUC ≈ 0.68 🔹 New ML-based criteria: ➡️ AUC 0.84 for Marfan ➡️ Accuracy up to 94% ➡️ Outperformed modified Ghent criteria 🔹 Also effective for Loeys-Dietz: ➡️ AUC 0.83 (TGFBR1/2) ➡️ AUC 0.80 (SMAD3) 💡 Clinical implications: 👉 A simple CT scan (already done for aorta evaluation) can now: ✔ Improve early diagnosis ✔ Reduce reliance on delayed genetic testing ✔ Enable earlier referral and management 🚀 Bonus: 👉 A user-friendly online tool provides probability of diagnosis based on CT measurements 🚨 Bottom line: Machine learning transforms dural ectasia from a weak criterion into a powerful, practical diagnostic tool for Marfan and related syndromes. #Cardiology #CardiacImaging #CT #ArtificialIntelligence #MarfanSyndrome #LoeysDietz #Aortopathy #PrecisionMedicine #MedicalInnovation 🧠🫀📊

📄 Can we finally measure RV volume accurately with simple echocardiography? 🔗 DOI: doi.org/10.1093/ehjimp/qyaf1… 🫀 The right ventricle (RV) remains one of the most challenging chambers to assess—especially in congenital heart disease (CHD). 👉 Gold standard? Cardiac MRI ❗ But: expensive, time-consuming, and often requires sedation ✨ This study proposes a simple, fast, and accurate 2D echo-based method for RV volumetry—bringing us closer to true bedside quantification. ✨ The key idea: 👉 Model the RV using a cone-based geometric approach ➡️ Using only 2 standard echo views: Apical 4-chamber (A4CH) Parasternal short-axis (SAX) 📐 With just a few parameters: ✔ Cross-sectional areas (A4CH, ASAX) ✔ Tricuspid valve diameter 📊 Performance vs MRI: 🔥 Excellent agreement: Systolic volume → ICC 0.98 Diastolic volume → ICC 0.96 📉 Minimal bias: Δ systolic volume ≈ 0.1 mL Δ diastolic volume ≈ 5.2 mL ➡️ Clearly outperforms traditional 2D models 💡 Why this matters clinically: 👉 Enables: ✔ Rapid bedside RV assessment ✔ Reduced need for repeated MRI ✔ Easier follow-up in paediatric & CHD patients 👉 Particularly valuable in: Post-operative monitoring Serial evaluations Resource-limited settings 🚀 Key innovation: 👉 A mathematically robust yet practical model ➡️ Balancing accuracy simplicity ➡️ Adaptable to different RV shapes 🚨 Bottom line: 2D echocardiography—when combined with smart modelling—can approach MRI-level accuracy for RV volumetry. #Cardiology #Echocardiography #RightVentricle #CongenitalHeartDisease #CardiacImaging #CMR #Innovation #MedTech #PediatricCardiology 🫀📊

Why is there a number in the left atrium?

#EHJCVI 🫀| In type A aortic dissection, CT-FFR #yesCCT may help identify high-risk patients and optimize post-operative management strategies beyond anatomical CCTA assessment. 👉 doi.org/10.1093/ehjci/jeag05…

#EHJCVI 🫀| Does combining abnormal myocardial perfusion reserve and myocardial infarction on #WhyCMR improve risk stratification in type 2 diabetes mellitus? Find out 👉 doi.org/10.1093/ehjci/jeag04…