EACVI President

11/ Until then, I wish you all some well-deserved downtime, a joyful festive season, and happy holidays. Thank you for being part of the #EACVI family. @VDelgadoGarcia

⏳ Just one week to go! The main abstract submission deadline for EACVI 2026 Congress is approaching fast. 📍 Milan, Italy 📅 3–5 December 2026 🗓 Key deadlines: • Abstract submissions: Thursday, 21 May 2026 at 12:00 CEST • Clinical case submissions: 2 June 2026 at 12:00 CEST • Late-Breaking Science submissions: 11 August – 20 September 2026 Your work deserves to be seen, shared, and celebrated! Don’t miss the opportunity to showcase your research and connect with the international cardiovascular imaging community. Submit your abstract escardio.org/events/congres… @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 @denisamuraru @s_e_petersen @VictoriaDe32503 #EACVI2026 #CVImaging #EchoFirst #whyCMR #CCT #ThinkPET #Cardiology #Research #MedicalEducation #AbstractSubmission #EACVI

#EHJCVI 🔍🧬 Lp(a) selectively tracks vulnerability. In asymptomatic patients, it was independently associated with high-risk, low-density non-calcified plaque on AI-CCTA, while CAC reflected overall plaque burden 📊 Curious to dive deeper? 👉 Read more: doi.org/10.1093/ehjci/…

The latest #EACVI CardioTalk podcast is out!🎧 In this episode of Advances in Cardiovascular Imaging, @MSBBrandao hosts Nuno Cardim to discuss the recently published EACVI consensus statement on the role of multimodality cardiac imaging in the management of hypertrophic cardiomyopathy. The conversation provides a timely update on how advances in imaging are reshaping the diagnostic and clinical landscape of this complex disease. 🎧 esc365.escardio.org/event/2625 📖 More information here:academic.oup.com/ehjcimaging/ar… @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 @denisamuraru @s_e_petersen @VictoriaDe32503

New #EACVI #HITbite by Dr @NOrphanou on: "Suspected severe mitral regurgitation: key elements every echo report must include" If you would to like learn more on the topic, don't miss the next #EACVI Webinar on 13/05/2026 18:00-19:00 CET esc365.escardio.org/event/2457?_gl… @Giulia_Vinco @DrGEMandoli @eromerodorta @PezelT @hrt01a @slumberbell @ClementA25 @almasthela @Manaakies @yohann_bohbot @MartinaRaffele @anatimoteo46040 @PhilippeDe10850 @Sarah_Moharem @denisamuraru @s_e_petersen @VictoriaDe32503 #EACVIHIT #echofirst #whyCMR #CCT #CVNuclear #ThinkPET

📄 Hypertension-related LVH: not all phenotypes carry the same risk 🔗 DOI: doi.org/10.1093/ehjimp… 🫀 Hypertension is the most common cause of LV hypertrophy—but its cardiac expression is far from uniform. This large UK Biobank CMR study (n >24,000) provides a comprehensive look at LVH phenotypes and their prognostic impact. ✨ Four CMR-defined phenotypes: 👉 Normal LV 👉 LV remodelling 👉 Eccentric LVH 👉 Concentric LVH 📊 As shown in the graphical abstract (page 2): ➡️ each phenotype has distinct structural and functional signatures ✨ Key findings: 🔹 Eccentric LVH = worst phenotype ➡️ Most impaired LV function (EF + strain) ➡️ Largest chambers ➡️ Highest risk: MACE → HR 2.5 Heart failure → HR 9.0 🔹 Concentric LVH: ➡️ Highest wall thickness and native T1 (fibrosis) ➡️ ↑ Heart failure risk (HR 4.1) ➡️ No significant MACE association 🔹 LV remodelling: ➡️ Intermediate phenotype ➡️ Smaller chambers, milder changes 📊 Key pathophysiological insight: 👉 LVH is not a binary condition—but a spectrum of myocardial adaptation ➡️ From remodelling → concentric or eccentric hypertrophy ➡️ Driven by pressure load, volume load, and myocardial response 💡 Clinical take-home message: 👉 Not all LVH is equal ✔ Eccentric LVH → high-risk phenotype ✔ Concentric LVH → fibrotic, HF-prone phenotype 👉 CMR enables: precise phenotyping improved risk stratification potential tailored treatment strategies 🚨 Bottom line: In hypertension, LV geometry matters—because different phenotypes carry very different prognoses. #Cardiology #CMR #Hypertension #LVH #CardiacImaging #HeartFailure #RiskStratification #PrecisionMedicine #UKBiobank 🫀📊

🫀#MR in #HF is far more than “mild, moderate, severe”. ⚠️Accurate MR assessment directly influences HF management & outcomes. Excellent overview by @anatimoteo46040 at #HeartFailure26 on how we should assess secondary MR in HF: 📍Mechanism matters: Ventricular vs atrial MR, differentiate early 📍MR grading must be multiparametric, Never rely on a single number alone. 📍Secondary MR is dynamic, Severity may change after: GDMT optimization, CRT, rhythm/rate control, decongestion. ⚠️Reassess before intervention decisions. 📍Multimodality imaging matters, each provide complementary information on anatomy, mechanism, ventricular remodeling, procedural suitability 📍Heart Team discussion is essential. 📍Quantitative parameters matter most when deciding advanced therapies @escardio @EACVIPresident @VictoriaDe32503 #EchoFirst #whyCMR #YesCCT #3DEcho #HeartFailure

Honoured to take part in the #HFA2026 joint session with #EACVI on secondary mitral regurgitation in heart failure with @anatimoteo46040 — a fantastic exchange of expertise, imaging, intervention and multidisciplinary care. The learning journey continues this December at the #EACVI2026 Congress in Milan, with even more lectures, masterclasses, hands-on sessions and simulation labs dedicated to advanced cardiovascular imaging and valvular heart disease. Looking forward to continuing the discussions and learning together this December 2026 in Milan. @HFA_President @WilfriedMullens @slumberbell @corneliacrm @ARakisheva @NAjmoneMarsan @EchoSoliman @ydaryani @wikimagen @GosiaWamil @OttoSmiseth @S_Dhont @rmanka_ @russeverett3 @secardiologia @imagingssc @BirkhoelzerS @Sarah_Moharem @denisamuraru @s_e_petersen @VictoriaDe32503 #EACVI26 #HeartFailure2026 #MitralRegurgitation #SecondaryMR #CardioTwitter #Echocardiography #HeartFailure #CardiovascularImaging #ValvularHeartDisease #Milan2026

#EHJCVI 🫀❓Beyond anatomy in chronic coronary disease: does function matter? In ISCHEMIA, peak METs 🏃‍♂️ provided incremental prognostic value beyond CCTA. 💡 A more integrated approach to risk assessment may be needed. ⏩ Read more: doi.org/10.1093/ehjci/…

Delighted to see the launch of this course focused on the evolving role of AI in cardiovascular imaging. An excellent opportunity to explore how artificial intelligence and multimodality imaging — including cardiac CT and stress cardiac MRI — are advancing cardiovascular risk assessment and supporting more personalised patient care. A valuable learning experience for cardiologists, radiologists, researchers, and healthcare professionals interested in the future of digital health and precision cardiology. Exciting to see continued innovation at the intersection of medicine, imaging, and AI. 🔗 escelearning.escardio.org/course/207?fbc… #AI #EACVI #CVImaging #Cardiology #MedicalEducation #CardiacCT #CMR #DigitalHealth #PrecisionMedicine #HealthcareInnovation @PezelT @Cosyns @NAjmoneMarsan @rmanka_ @DrMarkWestwood1 @AndreBaggi @dr_maghraby @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 @Sarah_Moharem @denisamuraru @VictoriaDe32503

A highly stimulating and successful day at the Joint #EACVI #ESCR Summit on “Hot Topics in Cardiac Imaging” in Zurich — bringing together an outstanding multidisciplinary community of imagers, cardiologists, radiologists, scientists, innovators, and trainees from across Europe and beyond. With more than 180 participants representing 32 countries, the meeting highlighted the growing momentum behind truly integrated multimodality cardiovascular imaging and the importance of closer collaboration between cardiology and radiology to advance education, innovation, implementation, and patient-centred care. My sincere thanks to the exceptional organising committees from both societies — @rmanka_ Marc Dweck, @RNijveldt , Hatem Alkadhi, Marco Francone, Rodrigo Salgado, and Rozemarijn Vliegenthart — for delivering an outstanding scientific programme and fostering such a collaborative atmosphere. Grateful also to the faculty, participants, industry partners, and ESC/EACVI staff teams whose dedication made this meeting possible. An important step towards a stronger, more connected, and integrated cardiovascular imaging community. @EscrOffice @s_e_petersen @DrMarkWestwood1 @carpenter_jp @LunaGargani @NAjmoneMarsan @denisamuraru @AnnaBaritussio @PezelT @Sarah_Moharem @VictoriaDe32503

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

Stunning #Polecho2026 celebrated in Kielce: ❤️record number of participants onsite with more than 1300 delegates 🔝sessions with latest innovations in digital health and #AI, Transcatheter interventions for VHD 💜superb clinical cases 💕networking with fantastic colleagues!

📅 Upcoming Webinar | 13 May | 18:00 CEST Mitral regurgitation: from diagnosis to transcatheter treatment in light of the 2025 @escardio Valvular Heart Disease Guidelines. Key topics: ✔️ MR severity & mechanism ✔️ TTE/TOE-guided patient selection ✔️ Identifying suitable candidates for M-TEER ✔️ Insights from COAPT, MITRA-FR & RESHAPE-HF2 With M-TEER now a Class I recommendation for secondary MR in the 2025 ESC Guidelines, choosing the right patients is more important than ever. @DonalErwan @NAjmoneMarsan @papadocardio @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 esc365.escardio.org/event/2457?_gl… #Cardiology #CVImaging #VHD #echofirst

📄 Deep learning in CMR: excellent performance—but are we ready for clinical adoption? 🔗 DOI: doi.org/10.1093/ehjimp… 🫀 Deep learning is rapidly transforming cardiac MRI—but how strong is the evidence, and what are the real barriers to clinical use? This systematic review and meta-analysis provides a comprehensive answer. ✨ What was analysed: 🔹 62 studies (2020–2025) 🔹 Applications across: segmentation diagnosis prediction 🔹 Predominantly supervised learning (92%), with U-Net as the leading architecture ✨ Key performance results: 📊 Segmentation: ➡️ Sensitivity ~1.00 | Specificity 0.98 ➡️ AUC 0.994 → near-perfect accuracy ➡️ Dice score ~0.91 📊 Diagnosis & prediction: ➡️ Sensitivity 0.94 | Specificity 0.91 ➡️ AUC 0.98 → excellent discriminative ability 👉 Overall: performance matches or exceeds expert-level analysis ⚡ Why this matters: 👉 CMR analysis is time-consuming (≈13 min per scan) 👉 DL can reduce this to seconds ➡️ Potential to: ✔ increase access ✔ standardise reporting ✔ improve efficiency ⚠️ But major barriers remain: 🔹 High heterogeneity across studies (datasets, models, vendors) 🔹 Limited external validation 🔹 Poor reporting of: interpretability calibration workflow integration 👉 Most models are not yet ready for real-world deployment 🧠 Key insight: 👉 Performance ≠ clinical readiness ✔ Accuracy is high ❗ But generalisability and integration are still weak points 💡 Clinical take-home message: 👉 DL in CMR is technically mature 👉 But clinically immature ➡️ Future focus should shift from: accuracy → implementation, validation, and trust 🚨 Bottom line: Deep learning in CMR is ready in the lab—but not yet fully ready in the clinic. #Cardiology #CMR #AIinMedicine #DeepLearning #CardiacImaging #DigitalHealth #PrecisionMedicine #Radiology #MedTech 🫀📊

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