All Cardiac MRI Digests | 41 articles 15 categories

What's New in Cardiac MRI? — July 24, 2026

AI-summarised digest of 41 PubMed articles on Cardiac MRI published in the last 7 days.

What’s New in Cardiac MRI?

July 24, 2026 · 41 articles · 15 research themes · covering July 17, 2026 – July 24, 2026

Overview

This week’s digest is dominated by advances in cardiovascular imaging—especially cardiac MRI—aimed at making quantitative biomarkers more reliable, scalable, and clinically actionable. Multiple studies focus on automated or AI-assisted CMR quantification (e.g., physics-guided cine segmentation, continuous-time motion tracking, and fully automatic left atrial strain), while others address reproducibility bottlenecks such as thin-wall contouring errors, temporal drift, and operator/time burden in scar segmentation. Together, these efforts converge on a common goal: reduce variability so that imaging-derived measures (volumes, strain, scar, fat, and hemodynamic indices) can be used confidently for longitudinal risk stratification.

A second major theme is hemodynamics and tissue characterization as early markers of disease. 4D flow and phase-contrast MRI studies refine how we measure complex flow patterns (aortic reservoir-flow coupling, regional wall shear stress) and extend hemodynamic assessment into challenging settings such as neonates with intracardiac shunts. Complementing this, CMR tissue biomarkers—native T1 for subclinical myocardial involvement, radiomics/ECG-derived “heart age” in ischemic heart disease, and Dixon-based myocardial fat fraction in dystrophinopathy—highlight a shift toward quantifying biological aging and early organ involvement before overt clinical endpoints.

Finally, the digest underscores the growing integration of imaging with clinical decision-making and broader risk contexts. Reviews and studies address diagnostic strategy limitations (e.g., cardiac sarcoidosis multimodality discordance), AI triage safety (ECG specificity for occlusion MI mimics), and the prognostic value of imaging beyond standard metrics (stress CMR ischemic burden in LV systolic dysfunction, RA–RV coupling in functional tricuspid regurgitation). In parallel, population-level analyses quantify long-term mortality burdens related to tobacco use and diabetes with cerebrovascular disease, reinforcing that imaging innovation is increasingly paired with public-health targeting and precision phenotyping across diverse patient groups.


Cardiovascular MRI (4D Flow, Hemodynamics, Aortic Mechanics)

Targeted Flow Cardiac MRI in Neonates with Intracardiac Shunts: A Novel Multi-Modality Imaging Approach to Hemodynamic Assessment.

This study evaluated a targeted flow cardiac MRI approach to non-invasively assess hemodynamics in neonates with intracardiac shunts, aiming to distinguish pulmonary vascular resistance from shunt-related contributions to elevated right-heart pressures. It found that cardiac MRI can measure Qp:Qs using no, minimal, or baseline sedation in infants with possible pulmonary hypertension, enabling a multi-modality hemodynamic assessment beyond clinical exam and echocardiography alone. This is clinically significant because it may improve diagnostic precision and reduce uncertainty in neonatal pulmonary hypertension evaluation.

Simpkin CT, Taylor AC, MacLean J et al. · The Journal of pediatrics · (2026) · View on PubMed ↗

Phase-contrast cardiac MRI assessment of aortic reservoir-flow coupling across adult age groups.

This observational study used phase-contrast cardiac MRI to quantify aortic reservoir-flow coupling across adult age groups (18–33, 34–60, and >60 years) in 252 participants scanned on a 3.0-T Siemens MAGNETOM Skyra. It found age-related differences in how stroke-volume input and regional flow organization interact with aortic remodeling, indicating that reservoir-flow coupling changes across the adult lifespan. This is scientifically significant because it supports more physiologically grounded assessment of aortic function than diameter-based metrics alone.

Lv J, Ye Y, Zeng T et al. · Biomedizinische Technik. Biomedical engineering · (2026) · View on PubMed ↗ · Free PDF ↗

Identifying abnormal patterns of wall shear stress in mild-to-moderate aortic dilation and tricuspid valves using permutation tests.

This study compared regional aortic wall shear stress (WSS) patterns derived from 4D flow MRI between 46 patients with mild-to-moderate ascending aortic dilation with tricuspid valves and age- and sex-matched controls using permutation testing. The key finding was that permutation tests can identify patch-wise regional WSS differences while addressing the multiple-testing problem inherent to spatially resolved WSS mapping. Scientifically, this provides a more statistically robust framework for detecting localized hemodynamic abnormalities that may help characterize early aortic disease.

Trenti C, Boito D, Hammaréus F et al. · Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · (2026) · View on PubMed ↗ · Free PDF ↗

Cardiovascular 4D Flow MRI for multidirectional hemodynamic assessment: a single-centre observational study.

This single-centre observational study evaluated the feasibility and clinical utility of cardiovascular 4D Flow MRI in 30 cardiovascular MRI cases, using a Siemens MAGNETOM Skyra 3.0-T system with an 18-channel phased-array coil and time-resolved, velocity-encoded 4D Flow MRI with retrospective ECG gating and respiratory compensation. The study found that 4D Flow MRI enabled multidirectional hemodynamic visualization and quantitative assessment of cardiovascular flow using region-adjusted velocity encoding. These results support the scientific and clinical utility of 4D Flow MRI as a noninvasive technique for comprehensive, multidirectional hemodynamic evaluation in routine cardiovascular imaging workflows.

Ye Y, Zeng T, Chen Y et al. · Biomedizinische Technik. Biomedical engineering · (2026) · View on PubMed ↗ · Free PDF ↗


Cardiac MRI Motion Tracking & Automated Quantification

Cardiac motion tracking with bidirectional latent neural ODEs from cine cardiac MRI.

The study developed an unsupervised deep-learning framework for cardiac motion tracking in cine cardiac MRI using latent neural ordinary differential equations (neural ODEs) with a frame-aware encoder and temporal embeddings. It found that evolving motion features in a continuous-time latent space with bidirectional latent neural ODE dynamics can reduce accumulated temporal errors and improve physically consistent, temporally coherent deformation tracking. This provides a more robust, continuous-time approach for CMR-based functional assessment and disease analysis where long-range cardiac motion dependencies are critical.

Ruan D, Zhou K, Zhu C et al. · Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · (2026) · View on PubMed ↗


Cardiac MRI Tissue Characterization (T1/T2/Fat/Edema/Fibrosis)

Myocardial Native T1 Mapping in the German National Cohort (NAKO): Associations with Age, Sex, and Cardiometabolic Risk Factors.

This cross-sectional study investigated associations between age, sex, and cardiometabolic risk factors with myocardial native T1 mapping values as a marker of subclinical myocardial target-organ involvement in 29,573 participants from the German National Cohort (NAKO). It found that myocardial native T1 varied systematically with demographic and cardiometabolic risk profiles, supporting native T1 as a quantitative imaging biomarker of early myocardial alterations. This is scientifically significant because it links population-level cardiometabolic risk to measurable CMR tissue characteristics that may precede overt cardiovascular disease.

Ammann C, Gröschel J, Saad H et al. · Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · (2026) · View on PubMed ↗

Advancing Heart Ageing in Ischemic Heart Disease: Insights from CMR and ECG Analysis.

This study investigated biological heart ageing in ischemic heart disease (IHD) by estimating heart age gap using advanced CMR radiomics and ECG-derived phenotypes in 2,142 prevalent IHD cases. The key finding was that IHD-related changes captured by combined CMR and ECG features relate to biological heart age estimation, with contributions from conventional imaging indices and vascular risk factors. Scientifically, it supports a multimodal biomarker framework for quantifying accelerated cardiac ageing in IHD and may enable risk monitoring beyond traditional clinical measures.

Salih AM, Rauseo E, Galazzo IB et al. · Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · (2026) · View on PubMed ↗ · Free PDF ↗


Cardiac MRI Strain & Functional Biomarkers (RA/LA/LV)

Incremental Diagnostic Value of Right Atrial Strain in Arrhythmogenic Right Ventricular Cardiomyopathy: A Cardiac MRI Study.

This cardiac MRI study evaluated right atrial (RA) phasic strain as an incremental diagnostic marker in arrhythmogenic right ventricular cardiomyopathy (ARVC) stratified by right ventricular (RV) function. It found that compared with healthy controls, ARVC patients with preserved RV function had impaired RA reservoir and conduit strain and reduced RA passive emptying fraction despite preserved RA systolic indices. The significance is that RA strain may improve detection and characterization of ARVC even before RV dysfunction becomes apparent.

Xu W, Zhao J, Song Y et al. · Academic radiology · (2026) · View on PubMed ↗

Influence of left bundle branch block on left atrial strain parameters in patients with ischaemic and non-ischaemic dilated cardiomyopathy.

This retrospective single-center cMRI study assessed how left bundle branch block (LBBB) influences left atrial (LA) strain parameters in patients with ischemic and non-ischemic dilated cardiomyopathy (DCM). Across four groups (controls without DCM/LBBB, LBBB without DCM, DCM without LBBB, and DCM with LBBB), LA volumes and strain were measured semi-automatically using cvi42® and Segment® software. The significance is that it clarifies whether conduction abnormalities like LBBB confound LA strain metrics used for prognosis in DCM.

Petersen A, Kamieniarz P, Meteva D et al. · The international journal of cardiovascular imaging · (2026) · View on PubMed ↗ · Free PDF ↗

Fully Automatic Left Atrial Strain Quantification via Multi-task Learning on Cardiac Cine MRI.

This multi-center study developed a fully automatic left atrial (LA) strain quantification method from cardiac cine MRI using multi-task learning with groupwise registration, segmentation, and a spatiotemporal cross-attention module. The key finding was that the model can directly quantify LA strain from two-chamber and four-chamber cine images while mitigating thin-wall contouring errors, motion heterogeneity, and temporal drift that limit CMR feature tracking. This is significant because it improves reproducibility and scalability of LA strain assessment for cardiovascular risk stratification and longitudinal monitoring.

Zhao Y, Chen H, Gong Y et al. · Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · (2026) · View on PubMed ↗ · Free PDF ↗


Cardiac MRI Segmentation & Image Processing (DL, Physics-Guided, Scar)

Comparison of semi-automatic myocardial scar segmentation methods on black-blood late gadolinium enhancement images.

This study compared semi-automatic myocardial scar segmentation methods on black-blood late gadolinium enhancement (LGE) images using co-registered bright- and black-blood LGE datasets in 20 patients with ischemic heart disease. It found that segmentation performance differed across semi-automatic approaches, addressing the lack of consensus and the time/operator burden of manual scar delineation. This is clinically significant because improved and more consistent scar quantification can strengthen prognostic assessment and reduce variability in LGE-based risk stratification.

Génisson T, Narceau K, Richard T et al. · Magnetic resonance imaging · (2026) · View on PubMed ↗

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals.

This work trained deep learning models for dynamic MRI reconstruction using synthetic fractal data generated from quaternion Julia fractals, creating paired fully sampled and radially undersampled k-space inputs. A 3D U-Net artifact-suppression model trained on synthetic fractals (F-DL) was compared against models trained on natural videos (NV-DL) and real cardiac MRI data (CMR-DL), showing performance on dynamic reconstruction tasks. The study suggests synthetic fractal training data can mitigate privacy/licensing barriers while enabling effective dynamic MRI reconstruction.

Raman A, Jaubert O, Wrobel M et al. · Magnetic resonance in medicine · (2026) · View on PubMed ↗ · Free PDF ↗

Integrating physics guidance into deep learning for cine cardiovascular segmentation.

This study proposed PGE-UNet, a deep-learning cine cardiovascular MRI segmentation framework that integrates radiofrequency-related physics guidance to improve output plausibility under acquisition variability. The key finding was that adding explicit physics guidance to a U-Net-based model improves physically plausible segmentation performance compared with largely data-driven approaches for cine CMR. Clinically, this can increase reliability of ventricular volume and ejection fraction measurements while reducing manual workload and improving reproducibility in routine workflows.

Tran-Nguyen MA, Luong QK, Kha MB et al. · Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · (2026) · View on PubMed ↗


AI, Digital Biomarkers & Clinical Decision Support

Specificity of the Occlusion Myocardial Infarction-Trained PMcardio “Queen of Hearts” AI-ECG in Inflammatory Myopericardial Syndromes.

This retrospective single-center study assessed the ECG-level specificity of the OMI-trained PMcardio “Queen of Hearts” AI-ECG model for classifying occlusion myocardial infarction in emergency department patients with adjudicated inflammatory myopericardial syndromes (IMPS). It found that the model’s specificity for OMI classification in IMPS—conditions that can mimic OMI on ECG—was quantified, addressing the risk of unnecessary catheterization lab activation. This is clinically significant because it informs safe deployment of AI-ECG triage tools in patients with myocarditis/pericarditis-like presentations.

Bennar W, Garin D, Saidi RM et al. · JACC. Advances · (2026) · View on PubMed ↗

The Future of Imaging in Heart Failure: Toward Precision Phenotyping, Integration, and Intelligence.

This review studied how cardiac imaging in heart failure (HF) is evolving toward precision phenotyping using emerging technologies, with emphasis on patient-specific, integrated workflows rather than modality-siloed interpretation. It highlights that artificial intelligence (AI) is enabling expert-level echocardiography automation and acquisition guidance, supporting more predictive and integrated HF imaging. This shift is clinically significant because it could improve etiological clarification and risk stratification in heterogeneous HF populations by standardizing and scaling advanced imaging analytics.

Hundertmark MJ · Current heart failure reports · (2026) · View on PubMed ↗ · Free PDF ↗

Digital biomarkers in cardiovascular medicine: a scientific statement of the ESC Working Group on e-Cardiology, the ESC Working Group on Cardiovascular Pharmacotherapy, the European Heart Rhythm Association (EHRA) of the ESC, the Association for Acute Cardiovascular Care (ACVC) of the ESC, the Heart Failure Association (HFA) of the ESC, the European Association of Preventive Cardiology (EAPC) of the ESC, the European Association of Cardiovascular Imaging (EACVI) of the ESC, in collaboration with the Digital Cardiology and Artificial Intelligence Committee of the ESC, and the ESC Regulatory Affairs Committee.

This European Society of Cardiology (ESC) scientific statement reviewed digital biomarkers in cardiovascular medicine across the care continuum, focusing on how digital health technologies, big data analytics, AI, and connected sensors generate near-continuous real-world pathophysiological signals. The key finding was a structured synthesis of clinical utility and major methodological/implementation challenges that affect validity, reproducibility, and regulatory translation of digital biomarkers. This is significant because it provides a consensus framework to guide development, evaluation, and deployment of digital biomarkers in cardiovascular practice.

Corredoira PM, Kaski JC, Duncker D et al. · European heart journal. Digital health · (2026) · View on PubMed ↗


Echocardiography & CT as Alternatives/Comparators to CMR

The Role of Echocardiography in the Assessment of Epicardial Adipose Tissue: A Systematic Review and Meta-analysis.

This systematic review and meta-analysis studied whether transthoracic echocardiography (TTE) can validly assess epicardial adipose tissue (EAT) compared with volumetric reference methods such as cardiac magnetic resonance (CMR) and cardiac computed tomography (cCT). It found that evidence linking TTE-derived EAT measures to volumetric EAT is heterogeneous and that the clinical role of TTE as a surrogate remains incompletely defined. This is significant because it clarifies the reliability of a widely available, radiation-free approach for preventive and longitudinal cardiometabolic risk assessment.

Pala B, Piscione M, Cribari F et al. · Current obesity reports · (2026) · View on PubMed ↗

Validation of Feature-Tracking Cardiac CT for Left Ventricular Strain Assessment in Pediatric Acute Myocarditis: Comparison With Cardiac MRI.

This study validated feature-tracking cardiac CT (FT-CCT) for left ventricular (LV) strain in pediatric acute myocarditis by comparing it with cardiac MRI (CMR) as the reference standard. In 45 children who underwent CCTA and CMR, FT-CCT strain measurements (global longitudinal, circumferential, and radial) showed strong intermodality agreement with CMR and assessed diagnostic performance for detecting late gadolinium enhancement (LGE), including evaluation of heart-rate effects. Clinically, it supports FT-CCT as a pragmatic alternative for LV strain assessment when CMR is delayed after clinically indicated coronary CT angiography.

Yang L, Cao Y, Peng Y · Journal of computer assisted tomography · (2026) · View on PubMed ↗

Quantification of Single Valve Regurgitation in the Pediatric Population Using 3-Dimensional Echocardiography: Reproducibility and Comparison with Cardiac Magnetic Resonance Imaging.

This study evaluated whether 3-dimensional echocardiography (3DE) can quantify single-valve regurgitation fraction (RF) in children (<18 years) with mild regurgitation of one valve and biventricular circulation, using cardiac magnetic resonance (CMR) as the reference standard. The key finding was that 3DE-derived RF measurements were reproducible and showed agreement with CMR-based RF quantification for pediatric single-valve regurgitation. Clinically, this supports 3DE as a less resource-intensive alternative to CMR for follow-up quantification of regurgitation in children.

Kuebler JD, Moleon-Shea M, Lu M et al. · Pediatric cardiology · (2026) · View on PubMed ↗


Cardiac Imaging in Special Populations (Pregnancy, Pediatrics/CHD/Neonates)

How to Use Cardiovascular Imaging in Pregnancy.

This review studied how cardiovascular imaging modalities (e.g., echocardiography, CMR, and other techniques) should be selected and interpreted in pregnant patients with suspected or established cardiovascular disease. It found that pregnancy-specific physiologic changes (increased blood volume and cardiac output with chamber remodeling) require tailored acquisition protocols and careful distinction of normal adaptations from pathology. This provides a practical framework to improve diagnostic accuracy and longitudinal risk stratification during pregnancy while minimizing inappropriate testing or misinterpretation.

Van Berendoncks A, Rodriguez Palomares J, De Backer J · Circulation. Cardiovascular imaging · (2026) · View on PubMed ↗

SCMR Survey of Centers Performing CMR in Pediatric/Congenital Heart Disease: 2024 Update.

This SCMR survey study assessed practice trends by collecting responses from 124 centers in 2024 (with prior 2014 and 2018 comparisons) regarding cardiovascular magnetic resonance (CMR) implementation in pediatric and congenital heart disease. It found that the number of responding centers and the annual pediatric/CHD CMR case volumes increased over time, reflecting growing adoption and standardization efforts. This is significant for benchmarking resources, informing training needs, and guiding future multicenter research in pediatric/CHD CMR.

Buddhe S, Soriano BD, Wilson HC et al. · Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · (2026) · View on PubMed ↗

Feasibility of 12-lead ECG reconstruction at rest and during adenosine stress perfusion inside a 3-Tesla MR scanner.

This feasibility study investigated whether 12-lead electrocardiogram (ECG) signals can be reconstructed inside a 3-Tesla MR scanner at rest and during adenosine stress perfusion. Using an MR-compatible external device with artifact-removal post-processing and three MR-safe electrode patches, the authors reconstructed in-bore 12-lead ECGs before and during adenosine infusion and assessed accuracy against reference ECGs recorded outside the MR environment. The scientific significance is enabling reliable ECG monitoring for ischemia detection during MR stress testing, potentially improving safety and interpretability of MR perfusion studies.

Falconer D, Mehri M, Bhiri M et al. · The international journal of cardiovascular imaging · (2026) · View on PubMed ↗ · Free PDF ↗


Cardiomyopathies & Genetic/Inherited Cardiac Disease

This case report described a 31-year-old man with glycogen storage disease type XV (GSD-XV) due to biallelic pathogenic variants in GYG1, presenting with hypertrophic cardiomyopathy features and a Brugada phenocopy. It found a spontaneous Type-1 Brugada ECG pattern with complete right bundle branch block, nonobstructive LV hypertrophy with preserved ejection fraction, and speckle-tracking evidence of markedly reduced global longitudinal strain. This is clinically significant because it expands the cardiac phenotype of GYG1-related disease and highlights potential Brugada-like electrical manifestations in this ultra-rare disorder.

Arat N, Cetincelik U, Gülten ZA et al. · American journal of medical genetics. Part A · (2026) · View on PubMed ↗

A Slc5a6-deficient mouse model reveals metabolically driven cardiomyopathy with therapeutic potential for vitamin-based intervention.

This study investigated the role of the sodium-dependent multivitamin transporter SLC5A6 in cardiomyopathy by analyzing two human families with SLC5A6 mutations and generating a cardiac-specific Slc5a6 knockout (Slc5a6cKO) mouse model. The key finding was that Slc5a6cKO mice developed progressive dilated cardiomyopathy with metabolic derangements including impaired coenzyme A synthesis, fibrosis, and premature death, and that vitamin supplementation had therapeutic potential. Scientifically, it links SLC5A6-dependent biotin/pantothenic acid uptake to energy metabolism failure as a mechanism for early-onset DCM and suggests a vitamin-based intervention strategy.

Fullerton MO, Phillips LC, Redgrave RE et al. · JCI insight · (2026) · View on PubMed ↗ · Free PDF ↗

Machine learning algorithms for predicting arrhythmic events in Hypertrophic Cardiomyopathy: limited enhancement beyond late gadolinium enhancement.

This multicenter registry study developed and tested machine learning (ML) models to predict arrhythmic events in hypertrophic cardiomyopathy (HCM) using clinical, echocardiographic, and CMR variables including late gadolinium enhancement (LGE) quantified by the +6 SD method. The key finding was that ML performance for predicting a composite endpoint of sudden cardiac death (SCD), aborted SCD, and sustained ventricular tachycardia (VT) showed limited incremental enhancement beyond what LGE already provided. The significance is that it informs how much additional predictive value ML can add over established CMR LGE risk markers in HCM populations.

Certo Pereira J, Amador R, Vieira A et al. · The international journal of cardiovascular imaging · (2026) · View on PubMed ↗

Myocardial fat fraction in Becker muscular dystrophy and women carrying pathogenic DMD gene variants assessed by Dixon cardiac MRI.

This cross-sectional study used Dixon cardiac MRI to quantify myocardial fat fraction in 20 patients with Becker muscular dystrophy (BMD) and in women carrying pathogenic DMD gene variants, relating myocardial fat to left ventricular ejection fraction (LVEF), age, and skeletal muscle fat replacement. Myocardial fat fraction was measurable and associated with cardiac function and/or disease-related factors, indicating that dystrophinopathy-related fatty replacement can extend to the myocardium. These findings support Dixon CMR myocardial fat fraction as a potential biomarker for cardiac involvement and progression in DMD-spectrum disease.

Lyu Z, Teitsdóttir B, Joensen H et al. · Journal of neuromuscular diseases · (2026) · View on PubMed ↗ · Free PDF ↗

The Innocent Delta Wave in Progressive Cardiomyopathy - Culprit vs Bystander.

This case report described a 34-year-old man with progressive cardiomyopathy who had recurrent palpitations, atrial fibrillation, hypertrophic cardiomyopathy with moderate LV systolic dysfunction, and later an acute ischemic stroke, alongside a family history of HCM with high-grade conduction disease. The authors highlighted an “innocent delta wave” pattern as a bystander rather than the culprit mechanism for the patient’s clinical events. The report underscores the clinical importance of distinguishing incidental ECG pre-excitation-like findings from true arrhythmogenic substrates in inherited cardiomyopathy.

Ansari AG, Shanmugam S, Vijay J et al. · The American journal of cardiology · (2026) · View on PubMed ↗

Pleiotropic Phenotype of RYR2 Exon 3 Deletion: Biventricular Noncompaction and Malignant Arrhythmias.

This JACC Case Reports article described a 33-year-old woman with an RYR2 exon 3 deletion (E3DS) who developed biventricular noncompaction and malignant arrhythmias, including premature ventricular contractions during pregnancy, nonsustained polymorphic ventricular tachycardia, and postpartum persistent bradyarrhythmia. Electrophysiological testing demonstrated complete supranodal atrioventricular block and extensive right atrial low-voltage areas, with cardiac MRI confirming biventricular noncompaction. The case highlights the pleiotropic cardiac phenotype of RYR2 E3DS, emphasizing that structural cardiomyopathy and severe conduction/arrhythmic disease can co-occur in ryanodinopathy.

Faucher L, Cardi T, Fitouchi S et al. · JACC. Case reports · (2026) · View on PubMed ↗ · Free PDF ↗

Clinical spectrum and ascertainment pathways in pediatric female dystrophinopathy.

This single-center retrospective case series studied 35 genetically confirmed pediatric girls with DMD gene variants to characterize the clinical spectrum, ascertainment pathways, subclinical muscle involvement, and inheritance patterns of pediatric female dystrophinopathy. The key finding was that presentations ranged from asymptomatic at evaluation to subtle childhood symptoms with possible skeletal muscle and cardiac manifestations, with ascertainment differing between symptom-driven referral and incidental/cross-sectional detection. Clinically, the results support improved recognition and structured evaluation pathways for female dystrophinopathy in children, including attention to subclinical muscle and cardiac involvement.

Jiao H, Bai J, Li P et al. · Italian journal of pediatrics · (2026) · View on PubMed ↗ · Free PDF ↗

Clinical phenotype and outcomes of low-risk HCM patients who maintained stable exercise habits during follow-up.

This study evaluated 253 low-risk hypertrophic cardiomyopathy (HCM) patients with reliably documented, stable exercise habits during follow-up, classifying them as sedentary, mild exercise (<30 METs/week), or vigorous exercise. The key finding was that maintaining regular exercise over time was associated with a more favorable clinical phenotype and better follow-up outcomes compared with sedentary behavior within the low-risk HCM group. This suggests that, for selected low-risk HCM patients, sustained exercise may be compatible with improved longitudinal risk profiles.

Pelliccia A, Ferrera A, Daniello CD et al. · International journal of cardiology · (2026) · View on PubMed ↗


Myocarditis, Inflammatory Myocardial Disease & Drug-Induced Cases

Eosinophilic gastrointestinal diseases.

This primer studied eosinophilic gastrointestinal diseases (EGID) in patients with abnormal eosinophilic inflammation of the GI mucosa without secondary causes of eosinophilia, spanning eosinophilic esophagitis, gastritis, enteritis, and colitis. It found that EGID is defined by prominent eosinophilic infiltration linked to symptoms by GI segment and must be differentiated from secondary eosinophilia due to parasitic infection, medications, vasculitis, allergic syndromes, hematologic disease, or other inflammatory conditions. This is clinically significant because it supports accurate diagnosis and appropriate management by emphasizing exclusion of secondary causes.

Lenti MV, Rossi CM, Dellon ES et al. · Nature reviews. Disease primers · (2026) · View on PubMed ↗

Atypical Pediatric Presentation of Takotsubo Syndrome.

This case report studied a 17-year-old boy with atypical pediatric Takotsubo syndrome presenting after emotional distress and exertion. Key findings were ST-segment elevation with markedly elevated troponin, echocardiographic left ventricular apical wall motion abnormalities, normal coronary angiography, and cardiac MRI confirmation of apical hypokinesis with myocardial edema and late gadolinium enhancement, alongside newly diagnosed severe hyperglycemia consistent with type 2 diabetes. The clinical significance is that it broadens recognition of Takotsubo triggers and imaging patterns in children and underscores the potential association with acute metabolic derangements.

Kash B, Nguyen A, Robinson J et al. · JACC. Case reports · (2026) · View on PubMed ↗ · Free PDF ↗

Diagnostic Approach to Cardiac Sarcoidosis.

This article reviews diagnostic strategies for cardiac sarcoidosis, focusing on how different consensus documents and modalities (e.g., imaging and clinical criteria) perform in patients with suspected granulomatous myocarditis. It finds that no single diagnostic modality achieves both high sensitivity and specificity, and that applying different consensus thresholds to the same patient can yield discordant diagnoses. Clinically, the paper emphasizes the need for multimodality evaluation and careful interpretation of consensus criteria to reduce missed or misclassified cardiac sarcoidosis.

Lehtonen J, Birnie DH · Circulation · (2026) · View on PubMed ↗

Mesalazine-Induced Myocarditis: A Challenging Diagnostic Journey.

This case report described mesalazine-induced myocarditis in a patient who developed acute chest pain and elevated cardiac biomarkers shortly after starting mesalazine. The key finding was that cardiac MRI supported the diagnosis and that prompt discontinuation led to rapid clinical recovery. The clinical significance is that early recognition of mesalazine-associated myocarditis and immediate drug withdrawal can prevent progression to severe complications.

Bouayed MZ, Benaini I, Koulali H et al. · Clinical case reports · (2026) · View on PubMed ↗ · Free PDF ↗

Reverse Remodeling in Pediatric Myocarditis With DCM Phenotype Impact of rASD and PAB.

This retrospective study evaluated 31 children <3 years (55% female) with biopsy-proven myocarditis and a dilated cardiomyopathy (DCM) phenotype, assessing a staged, pathophysiology-guided strategy combining left atrial decompression and pulmonary artery banding (PAB) with attention to the impact of rASD and PAB. The key finding was that selected infants/young children treated with this staged approach showed reverse remodeling consistent with improved myocardial recovery despite progression risk associated with the DCM phenotype. Clinically, it supports an age- and mechanism-guided interventional pathway to improve outcomes in early childhood myocarditis transitioning toward DCM.

Logeswaran T, Akintürk H, Schranz D et al. · JACC. Advances · (2026) · View on PubMed ↗ · Free PDF ↗


Arrhythmias, Electrophysiology & Ablation Guidance

Interventional Cardiac Magnetic Resonance-Guided Flutter Ablation: Technical Evolution and Procedural Insights from Early Clinical Use.

This retrospective single-center study assessed feasibility, efficiency, and early outcomes of interventional cardiac MRI (iCMR)-guided cavotricuspid isthmus (CTI) ablation in 35 consecutive patients with typical atrial flutter. iCMR-guided CTI ablation was technically feasible on a 1.5T MRI scanner with real-time soft-tissue visualization and without ionizing radiation, producing acceptable procedural performance and clinical outcomes in early use. The work supports iCMR as a radiation-free alternative platform for catheter ablation, with CTI flutter ablation serving as a benchmark procedure.

Hopman LHGA, Mahmoodi S, van Luijk RD et al. · Heart rhythm · (2026) · View on PubMed ↗ · Free PDF ↗


Valvular Heart Disease & Hemodynamic Indices

RACI: A Novel Prognostic Marker in Functional Tricuspid Regurgitation.

This study evaluated the prognostic value of the right atrioventricular coupling index (RACI)—the ratio of right atrial volume to right ventricular end-diastolic volume measured by cardiac magnetic resonance—in 633 consecutive patients with moderate-to-severe functional tricuspid regurgitation. Patients with high RACI (≥0.62 by Youden-index cutoff) had worse outcomes, with higher all-cause mortality than those with normal RACI (<0.62). RACI could serve as a CMR-derived risk stratification marker reflecting RA–RV hemodynamic interplay in functional TR, potentially improving prognostic assessment beyond standard echocardiographic measures.

Zhang RS, Falco G, Li E et al. · Circulation. Cardiovascular imaging · (2026) · View on PubMed ↗


Atherosclerotic/Ischemic Heart Disease Risk, Prognosis & Mortality

Stress CMR ischemic burden and long-term mortality in left ventricular systolic dysfunction: a multicenter registry study.

This multicenter registry study evaluated whether stress CMR ischemic burden adds prognostic value for long-term all-cause mortality in patients with left ventricular systolic dysfunction. Among consecutive patients with vasodilator stress perfusion CMR at three French centers (2008–2024) with CMR-derived LVEF <50%, the study used multivariable Cox models to test incremental prognostic value of ischemia and late gadolinium enhancement (LGE) beyond clinical factors and LVEF. The clinical significance is that it refines risk stratification in LV systolic dysfunction by determining whether stress CMR ischemia and scar information improves mortality prediction beyond standard measures.

Pfeffer A, Garot J, Duhamel S et al. · European heart journal. Cardiovascular Imaging · (2026) · View on PubMed ↗


Public Health, Epidemiology & Disparities

Demographic and regional disparities in co-occurring diabetes and cerebrovascular disease mortality: A 24-year national retrospective analysis.

This retrospective national analysis studied demographic and geographic disparities in mortality where diabetes mellitus (DM) and cerebrovascular disease (CVD) co-occur in the United States using CDC WONDER death records from 1999–2023. The key finding was identification of population and regional groups with higher DM+CVD mortality trends over time (with crude and age-adjusted mortality rates analyzed). The public-health significance is that these disparities can inform targeted prevention and care strategies for high-risk communities.

Faheem MSB, Hassan ST, Asghar T et al. · Journal of the National Medical Association · (2026) · View on PubMed ↗

Ischemic heart disease mortality with documented tobacco use in the United States, 1999-2023: a nationwide population-based analysis.

This nationwide population-based analysis examined ischemic heart disease (ICD-10 I20–I25) mortality trends in U.S. adults aged ≥25 years with documented tobacco use disorder (ICD-10 F17) from 1999–2023 using CDC mortality data and joinpoint regression. The key finding was a measurable temporal pattern in age-adjusted IHD mortality associated with documented tobacco use over the 25-year period (with estimated annual percent change and average annual percent change). Scientifically and clinically, it quantifies long-term IHD mortality burden in the context of documented tobacco use and can inform public health targeting and risk stratification.

Ibrahim AA, Tariq Z, Samad A et al. · Archives of public health = Archives belges de sante publique · (2026) · View on PubMed ↗ · Free PDF ↗


Oncology & Non-Cardiac Translational Biology (Cardio-Oncology)

SMARCA4, STK11, and KEAP1 co-inactivation associates with poor prognosis and upregulation of the TGF-β pathway in lung adenocarcinoma.

This translational oncology study examined lung adenocarcinoma (LUAD) patients for co-inactivation of SMARCA4, STK11, and KEAP1 and tested whether these multigene alterations relate to prognosis and pathway activation. Co-inactivation of SMARCA4, STK11, and KEAP1 was associated with poor prognosis and increased upregulation of the TGF-β pathway. These results suggest that combined loss of these tumor suppressors may define a high-risk LUAD subgroup with actionable pathway biology.

Costa EA, Mello BP, Wohlhieter C et al. · Translational oncology · (2026) · View on PubMed ↗ · Free PDF ↗



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