European heart journal. Imaging methods and practice最新文献

{"title":"Visual standardized quantification of late gadolinium enhancement, a contour-less method for late gadolinium enhancement quantification.","authors":"Giovanni Donato Aquaro, Roberto Licordari, Carmelo De Gori, Giancarlo Todiere, Umberto Ianni, Andrea Barison, Antonio De Luca, Alessandro Folgheraiter, Crysanthos Grigoratos, Mattia Alberti, Lisa Fulceri, Marilena Lombardo, Raffaele De Caterina, Gianfranco Sinagra, Michele Emdin, Gianluca Di Bella","doi":"10.1093/ehjimp/qyag148","DOIUrl":"10.1093/ehjimp/qyag148","url":null,"abstract":"<p><strong>Aims: </strong>Late gadolinium enhancement (LGE) quantification by cardiovascular magnetic resonance is central to risk stratification in hypertrophic cardiomyopathy (HCM). Conventional techniques require contour tracing and region of interest (ROI) placement, which may reduce reproducibility and increase analysis time. We developed a novel visual approach, the visual standardized quantification (VISTAQ) of LGE, that does not require myocardial contouring, arbitrary ROI positioning, or dedicated post-processing software.</p><p><strong>Methods and results: </strong>LGE images from 400 patients (100 prior myocardial infarction, 250 HCM, and 50 other non-ischaemic heart diseases) were analysed. Reproducibility was assessed using the intra-class correlation coefficients (ICC) and Bland-Altman analysis. VISTAQ was compared with conventional methods [mean+2SD, +5SD, +6SD, full-width-at-half-maximum (FWHM), visual thresholding]. Prognostic performance was evaluated in 250 HCM patients. VISTAQ demonstrated excellent intra- and inter-observer reproducibility (ICC up to 0.98 and 0.97, respectively), consistent across disease subtypes. VISTAQ showed similar ICC to FWHM but significantly lower net and absolute inter-observer differences (median absolute difference: 1.3%). Mean+2SD markedly overestimated LGE, whereas mean+6SD slightly underestimated LGE compared with VISTAQ, mean+5SD, FWHM, and visual thresholding. Analysis time was shorter with VISTAQ (median 105 vs. 375 s, <i>P</i> < 0.0001). During follow-up, 21 hard cardiac events occurred in HCM population. An LGE threshold >10% predicted events with higher accuracy using VISTAQ [area under the curve (AUC): 0.90; sensitivity: 85%; specificity: 94%) compared with mean+6SD (AUC: 0.75; sensitivity: 57%; specificity: 93%).</p><p><strong>Conclusion: </strong>VISTAQ provides highly reproducible, time-efficient LGE quantification without dedicated software and demonstrates non-inferior prognostic discrimination in HCM compared with conventional threshold-based techniques.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag148"},"PeriodicalIF":0.0,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13594973/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149027507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stress CT myocardial perfusion imaging after arterial switch operation for transposition of the great arteries.","authors":"Christos Gkizas, Benjamin Longere, Olivia Domanski, Aimee Rodriguez-Musso, Mehdi Haidar, Mariia Tregubova, Cedric Delhaye, Cedric Croisille, Francois Godart, Francois Pontana","doi":"10.1093/ehjimp/qyag139","DOIUrl":"10.1093/ehjimp/qyag139","url":null,"abstract":"<p><strong>Aims: </strong>Coronary abnormalities are late complications of arterial switch operation for transposition of the great arteries (ASO-TGA) and may remain silent for decades. We evaluated the feasibility and diagnostic performance of stress CT myocardial perfusion imaging (CT-MPI) in adults after ASO.</p><p><strong>Methods and results: </strong>Consecutive adults referred for clinically indicated coronary CT angiography (CCTA) underwent regadenoson stress CT-MPI using either dynamic energy-integrating detector CT (EID-CT) with quantitative myocardial blood-flow mapping or static photon-counting detector CT (PCCT) with qualitative and semiquantitative iodine-map assessment. All patients underwent stress cardiac magnetic resonance imaging (CMR) and invasive coronary angiography (ICA) within 3 months. Stress CMR served as the functional reference standard and ICA as the anatomical reference standard. Thirty-six patients were included (29 men; median age, 33.5 years), with 18 examined using each CT-MPI technique. Median neo-aortic diameter was 42 mm. At the per-segment level, CT-MPI achieved 95.5% sensitivity, 99.6% specificity, and 99.5% accuracy vs. stress CMR. In technique-stratified coronary-territory analyses, accuracy was 98.1% for static PCCT-MPI and 100% for dynamic EID-CT MPI. Against ICA, per-vessel sensitivity, specificity, and accuracy for obstructive coronary artery disease were 70.0%, 100%, and 98.6%, respectively. Coronary stenosis and a smaller coronary take-off angle were associated with ischaemia, whereas aortic dimension was not. A negative CT-MPI could have obviated additional testing in 30 of 36 patients (83.3%).</p><p><strong>Conclusion: </strong>Stress CT-MPI combined with CCTA was feasible and demonstrated high diagnostic performance for detecting myocardial ischaemia after arterial switch operation. Larger prospective studies are needed to confirm these findings and define its clinical role.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag139"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13521289/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148842635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autonomic entrainment to expressive musical phrase structures.","authors":"Natalia Cotic, Vanessa C Pope, Mateusz Soliński, Pier D Lambiase, Elaine Chew","doi":"10.1093/ehjimp/qyag149","DOIUrl":"10.1093/ehjimp/qyag149","url":null,"abstract":"<p><strong>Aims: </strong>Music reliably influences autonomic physiology, yet the mechanisms linking expressive music structures to cardiorespiratory responses remain poorly understood. This study investigated how phrase-level organization in loudness and tempo relates to autonomic entrainment during music listening.</p><p><strong>Methods and results: </strong>We analysed multimodal physiologic recordings [electrocardiogram(ECG)-derived R-to-R intervals, respiration, continuous blood pressure (BP)] from 126 participants in the HeartFM study, each of whom listened to nine expressive solo-piano tracks drawn from a set of 30 (8 original + 22 feature-modulated versions) rendered on a reproducing piano. Music phrase structures were extracted using a Bayesian arc-detection algorithm, generating beat-level boundary profiles for loudness and tempo. Physiologic signals were converted into smooth envelopes and resampled onto the music-beat grid. Entrainment strength was quantified using Earth Mover's Distance (EMD) between boundary profiles and physiologic envelopes, and evaluated against surrogate distributions. Participant-specific surrogate testing showed that original-vs.-surrogate separation was heterogeneous across physiological signals, with the strongest trend observed for tempo-BP waveform pairings. In contrast, loudness phrases showed consistently lower EMD than tempo phrases across most tracks. Phrase-arc summary statistics (mean and variability of arc length) and music-feature similarity provided measures of predictability. These metrics correlated with entrainment strength; more regular phrase structures were associated with greater synchronization.</p><p><strong>Conclusion: </strong>Autonomic activity can be mapped to expressive phrase structures, with loudness showing stronger morphology-based alignment than tempo. Predictable phrasing and cross-feature congruence led to greater synchronisation. These findings characterize music-physiology coupling as a structure-dependent, quantifiable phenomenon, providing a mechanistic basis for feature-specific selection of music for eliciting autonomic responses.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag149"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13541111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148892971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-based pulmonary artery to ascending aorta ratio on non-contrast CT for pulmonary hypertension: diameter vs. volume assessment.","authors":"Turki Nasser Alnasser, Alireza Hokmabadi, Ahmed Maiter, Michael Sharkey, Christopher Johns, Smitha Rajaram, David G Kiely, Samer Alabed, Andrew J Swift","doi":"10.1093/ehjimp/qyag146","DOIUrl":"10.1093/ehjimp/qyag146","url":null,"abstract":"<p><strong>Aims: </strong>To assess the diagnostic accuracy of a deep learning (DL) model for quantifying the pulmonary artery (PA) and ascending aorta (AAo) diameters and volumes on non-contrast computed tomography (CT) scans for detecting pulmonary hypertension (PH).</p><p><strong>Methods and results: </strong>The PA and AAo were segmented using a validated DL model on non-contrast CT scans. PA/AAo ratios were quantified using diameter and volume measurements. Testing was performed using two independent patient cohorts. A first cohort (<i>n</i> = 97) was used to compare DL-derived and manual diameter-based PA/AAo ratios and to evaluate their diagnostic accuracy against right heart catheterization (RHC). A second cohort (<i>n</i> = 425; 385 internal and 40 external patients) was then used to compare the diagnostic performance of the DL-derived diameter- and volume-based PA/AAo ratios using RHC as the reference standard. In the first cohort, 97 patients were included (mean age 63 ± 13 years, 50% female, and 62 patients with PH). Agreement with the diameter-based approach was good [Observer 1: intraclass correlation coefficient (ICC) = 0.79 (0.70-0.85); Observer 2: ICC = 0.79 (0.70-0.86)]. Agreement with volume-based PA/AAo ratio was moderate [Observer 1: ICC = 0.56 (0.41-0.68); Observer 2: ICC = 0.55 (0.39-0.67)]. The DL diameter-based (area under the curve (AUC) = 0.83) and volume-based (AUC = 0.84) PA/AAo ratio outperformed the manual measurements by Observer 1 (AUC=0.72) and Observer 2 (AUC = 0.74). The second cohort comprised 425 patients (385 internal and 40 external), with a mean age of 65 ± 12 years, 60% female, and 353 patients with PH. The volume-based approach achieved superior diagnostic accuracy compared with the diameter-based approach (AUC 0.85 vs. 0.73), with higher sensitivity (66% vs. 41%) and specificity (89% vs. 82%).</p><p><strong>Conclusion: </strong>The PA/AAo volume ratio on non-contrast CT demonstrates high diagnostic accuracy for detecting PH and could assist with opportunistic detection of PH in patients undergoing routine chest imaging.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag146"},"PeriodicalIF":0.0,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13543682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148898806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The FINESSE (Artificial Intelligence Stress Echo) study to develop and validate machine learning-based model to improve risk prediction in patients undergoing stress echocardiography for the assessment of inducible myocardial ischaemia (FINESSE Protocol).","authors":"Ugochukwu Ihekwaba, Mohamed Bennasar, Nicholas Johnson, Nerea Sanfeliu Garces, Hanry West, Blaine Price, Jeffrey Khoo, Iain Squire, Kenneth Chan, Attila Kardos","doi":"10.1093/ehjimp/qyag143","DOIUrl":"10.1093/ehjimp/qyag143","url":null,"abstract":"<p><strong>Aims: </strong>Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, necessitating accurate diagnostic strategies and robust risk stratification. The FINESSE (Artificial Intelligence Stress Echo) study aims to develop and validate machine learning-based models to improve risk prediction in patients undergoing stress echocardiography (SE) for the assessment of inducible myocardial ischaemia, and to implement a structured AI-driven risk reclassification framework to support clinical decision-making.</p><p><strong>Methods and analysis: </strong>This is a retrospective observational study on prospectively recruited patients referred for SE with suspected CAD. Clinical, demographic, haemodynamic, and echocardiographic data will be extracted from institutional electronic health records and linked with longitudinal national datasets. The study employs a three-stage ML framework: (1) baseline risk estimation using QRISK3, (2) development and optimization of supervised ML models (including ensemble methods, support vector machines, and neural networks), and (3) longitudinal risk prediction using linked NHS England data (such as all-cause mortality and major adverse cardiovascular events, including cardiovascular death, non-fatal myocardial infarction, stroke, unplanned revascularization). Model performance will be evaluated using discrimination (AUC), calibration, and reclassification metrics, and will be externally validated using independent multicentre SE datasets.</p><p><strong>Conclusion: </strong>The FINESSE study will evaluate the incremental value of machine learning in SE by integrating multimodal data into a clinically actionable risk reclassification framework. This approach has the potential to improve personalized risk stratification, optimize diagnostic pathways, and support precision cardiovascular care.</p><p><strong>Protocol registration: </strong>Ethical approval has been obtained from the UK Health Research Authority and relevant research ethics committees, with appropriate data governance approvals for the use of routinely collected healthcare data. The FINESSE study is registered on ClinicalTrials.gov (Identifier: NCT07432620), ensuring transparency and public accessibility of the study protocol.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag143"},"PeriodicalIF":0.0,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13541104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fully automated analysis of cardiotoxicity surveillance echocardiograms: a direct test-retest precision comparison with experts.","authors":"Benjamin Dowsing, Katia Menacho, Verónica Culotta, Benjamin Meredith, Beth Unsworth, Adam Ioannou, Anish Bhuva, Rhodri Davies, Ana Ferreira, Arjun Ghosh, Mark Westwood, Leon Menezes, Marianna Fontana, Guy Lloyd, Matthew Shun-Shin, James C Moon, Charlotte H Manisty","doi":"10.1093/ehjimp/qyag142","DOIUrl":"10.1093/ehjimp/qyag142","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Aims: &lt;/strong&gt;Serial imaging demands precision-particularly for cardiotoxicity screening where small changes gatekeep major decisions. Automated measurement using artificial intelligence (AI)-based techniques should reduce variability and increase confidence for detection of true change. We directly compared the precision of fully automated AI vs. expert manual analysis of left ventricular function by echocardiography.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods and results: &lt;/strong&gt;Consecutive cancer patients referred for cardiotoxicity monitoring underwent same-day repeat 2D echocardiography [&lt;i&gt;n&lt;/i&gt; = 60, 83% female, mean left ventricular ejection fraction (LVEF) 57 ± 7%], with 3D acquisition where feasible (&lt;i&gt;n&lt;/i&gt; = 45). All 2D images underwent blinded analysis by a fully automated analysis software and four experts. Quantitative 2D LVEF measurement was feasible in 96% scans by both methods. Mean absolute difference (MAD) between repeat scans was significantly lower for AI than experts for both 2D LVEF {3.6% [confidence interval (CI) 2.8-4.4] vs. 6.6% [CI 5.3-7.9], &lt;i&gt;P&lt;/i&gt; = 0.011} and global longitudinal strain [1.5% (CI 1.1-1.9) vs. 2.5% (CI 2.0-3.0), &lt;i&gt;P&lt;/i&gt; = 0.006]. In participants with 3DE datasets, 3D LVEF MAD was lower than manual 2D LVEF [3.6% (CI 2.8-4.6) vs. 6.4% (CI 5.0-8.0), &lt;i&gt;P&lt;/i&gt; = 0.006] but comparable to AI-derived 2D LVEF [3.5% (CI 2.9-4.2), &lt;i&gt;P&lt;/i&gt; = 0.4]. In a subset (&lt;i&gt;n&lt;/i&gt; = 48) also with same-day cardiovascular magnetic resonance (CMR) studies, AI 2DE analysis demonstrated stronger agreement with CMR than expert 2DE analysis [LVEF MAD 5.0% (CI 4.1-5.9) vs. 7.8% (CI 6.6-9.0) &lt;i&gt;P&lt;/i&gt; = 0.006].&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;In cancer patients at risk of cardiotoxicity, the precision of 2D echocardiographic AI analysis exceeds that of experts, matching that of 3D LVEF assessment.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trial registration: &lt;/strong&gt;NCT06817044.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Lay summary: &lt;/strong&gt;Some cancer treatments may weaken the heart. As such, at-risk patients have repeat heart scans (echocardiograms) over the course of their cancer treatment. Doctors monitor these scans over time and watch closely for any change; even a small decline in heart function can trigger a major decision, such as pausing life-saving cancer therapy. It is therefore vital that these measurements are as consistent or 'precise' as possible.The problem is that measurements taken by hand can vary widely, and 'precision' may be low, even when performed by skilled experts. This makes it hard to know whether a change in heart function across follow-up scans is real or not and whether any action is therefore needed. We tested whether artificial intelligence (AI) software could measure heart function more precisely than experts.Sixty cancer patients each had two echocardiographic heart scans in close succession on the same day. This approach purposefully reduces the impact of other factors (such as differences in the person or equipment performing the heart scan) that mig","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag142"},"PeriodicalIF":0.0,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13547863/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148908574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiac morphology and flow dynamics in children born to hypertensive pregnancies.","authors":"Prenali Dwisthi Sattwika, Katie Suriano, João Filipe Fernandes, Tamara den Harink, Christina Yi Ling Aye, Yvonne Kenworthy, Annabelle McCourt, Betty Raman, Zakariye Ashkir, Aaron Timothy Hess, Joana Leal Pelado, Federica Viola, Tino Ebbers, Carl-Johan Carlhäll, Petter Dyverfeldt, Adelaide de Vecchi, Winok Lapidaire, Paul Leeson, Pablo Lamata, Adam James Lewandowski","doi":"10.1093/ehjimp/qyag145","DOIUrl":"10.1093/ehjimp/qyag145","url":null,"abstract":"<p><strong>Aims: </strong>Hypertensive pregnancies affect up to 10% of pregnancies globally and are linked to greater cardiovascular risk in offspring. Subclinical cardiac changes have been reported across developmental stages. This study aimed to assess whether children born to hypertensive pregnancies exhibit altered left ventricular (LV) morphology and cardiac flow characteristics.</p><p><strong>Methods and results: </strong>In this cross-sectional study, cardiovascular magnetic resonance (CMR) was performed on a 3.0-Tesla Siemens PRISMA scanner in children aged 6-9 years: 44 offspring of hypertensive pregnancies (50% female) and 56 controls from normotensive pregnancies (37.5% female). Free-breathing real-time cine images were acquired to assess structure and function and to create a computational LV shape atlas. Four-dimensional (4D) Flow CMR was acquired to quantify LV flow component volumes and kinetic energy (KE), enabling assessment of intraventricular flow organization and energetics. Children born to hypertensive and normotensive pregnancies were matched in age (7.49 ± 0.73 and 7.41 ± 1.12 years), but those from hypertensive pregnancies had significantly shorter gestations (median 37.3 weeks [IQR 35.6-39.0] vs. 39.0 weeks [37.7-40.8], <i>P</i> = 0.002). Conventional cardiac measures did not differ between groups. Exploratory shape analysis identified subtle group-level LV differences, including relative prominence of the basal anterior wall, and a more convex LV outflow tract (<i>P</i> < 0.01; AUC = 0.654). LV retained inflow end-diastolic KE was lower in exposed offspring (3.35 [3.03-4.80] vs. 5.70 [4.35-6.80] μJ/mL; <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>Children born to hypertensive pregnancies show subtle group-level differences in LV morphology and diastolic flow energetics. These findings suggest early differences in cardiovascular phenotype, although their long-term clinical significance remains uncertain and requires longitudinal investigation.</p><p><strong>Registration: </strong>URL: https://www.clinicaltrials.gov; Unique identifiers: NCT05698836.</p><p><strong>Lay summary: </strong>This study investigated whether children born to mothers with high blood pressure during pregnancy show early differences in heart structure and blood flow.Children exposed to high blood pressure during pregnancy had subtle differences in heart shape and blood flow patterns.The differences identified were small and could only be detected using advanced heart imaging analyses. They were seen when comparing groups of children rather than being useful for identifying individual children, and their long-term importance is not yet known.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag145"},"PeriodicalIF":0.0,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13543680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148898832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic value of positron emission tomography using amyloid-binding radiotracers for cardiac amyloidosis: a systematic review and meta-analysis.","authors":"Amely Walser, Konstantinos Bitos, Andreas A Giannopoulos, Aju P Pazhenkottil, Valerie Treyer, Martin W Huellner, Ronny R Buechel, Philipp A Kaufmann, Dominik C Benz","doi":"10.1093/ehjimp/qyag141","DOIUrl":"10.1093/ehjimp/qyag141","url":null,"abstract":"<p><strong>Aims: </strong>Amyloid-binding positron emission tomography (PET) tracers have emerged as a promising non-invasive tool for the diagnosis of cardiac amyloidosis (CA). This study aimed to assess the diagnostic accuracy of amyloid PET for detecting CA through a meta-analysis of diagnostic test accuracy.</p><p><strong>Methods and results: </strong>PubMed, Cochrane Library, Embase, and Web of Science were searched through 16 March 2026 for studies reporting the diagnostic performance of amyloid PET for CA. The primary analysis was a bivariate random-effects (Reitsma) model yielding summary sensitivity, specificity, the summary receiver operating characteristics curve with corresponding area under the curve (AUC), and positive and negative likelihood ratios. Subgroup analyses were performed by radiotracer and by amyloid subtype. Risk of bias was assessed using QUADAS-2 and publication bias by Deeks' funnel-plot asymmetry test. Twenty studies comprising 577 patients (407 with CA, 170 controls) met inclusion criteria, covering five radiotracers (¹¹C-PiB, ¹⁸F-florbetaben, ¹⁸F-florbetapir, ¹⁸F-flutemetamol, and ¹²⁴I-evuzamitide). In the primary bivariate model (<i>k</i> = 17), amyloid PET demonstrated a summary sensitivity of 0.91 (95% CI 0.83-0.96), specificity of 0.90 (95% CI 0.79-0.96), and AUC of 0.96, with low between-study heterogeneity (sensitivity <i>I</i> ² = 13.4%; specificity <i>I</i> ² = 0%). Sensitivity was high and consistent across ¹¹C-PiB, ¹⁸F-florbetaben, ¹⁸F-florbetapir, and ¹²⁴I-evuzamitide (0.96-1.00), with the exception of ¹⁸F-flutemetamol, which showed lower and heterogeneous sensitivity (0.70).</p><p><strong>Conclusion: </strong>Amyloid PET demonstrates high sensitivity and specificity for CA detection, even though the evidence base remains limited in terms of the number and scope of available studies. Prospective multicentre studies in consecutive patients with suspected CA are required to establish its clinical role and standardize acquisition protocols.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag141"},"PeriodicalIF":0.0,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13537016/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148883096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From prognostication to implementation: the next frontier for ultrasound-guided assessment of decongestion.","authors":"Abhilash Koratala, Amir Kazory","doi":"10.1093/ehjimp/qyag140","DOIUrl":"10.1093/ehjimp/qyag140","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag140"},"PeriodicalIF":0.0,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13521281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148842658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Umbrella-like systolic billowing of redundant mitral leaflets on left ventriculography in barlow mitral valve disease.","authors":"","doi":"10.1093/ehjimp/qyag134","DOIUrl":"https://doi.org/10.1093/ehjimp/qyag134","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1093/ehjimp/qyag046.].</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"4 3","pages":"qyag134"},"PeriodicalIF":0.0,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13454481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148709173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}