Alaa Mabrouk Salem Omar, Robert Leber, Nitin Barman, Edgar Argulian
{"title":"Prognostic significance of myocardial ischaemia during exercise echocardiography in the absence of angiographic evidence of obstructive coronary disease.","authors":"Alaa Mabrouk Salem Omar, Robert Leber, Nitin Barman, Edgar Argulian","doi":"10.1093/ehjimp/qyaf055","DOIUrl":"10.1093/ehjimp/qyaf055","url":null,"abstract":"<p><strong>Aims: </strong>We studied the prognostic significance of myocardial ischaemia during exercise stress echocardiography (ExE) in the absence of angiographic evidence of obstructive coronary artery disease (CAD) in a contemporary cohort of patients.</p><p><strong>Methods and results: </strong>We retrospectively enrolled 84 patients who underwent ExE and had exercise-induced myocardial ischaemia followed by angiographic coronary evaluation. Fifty-one (61%) patients had non-obstructive CAD (iNOCAD), and 33 (39%) had normal coronaries (iNC). iNC and NOCAD patients were propensity matched to 99 and 153 patients with non-ischaemic ExE, respectively. Compared to iNOCAD, iNC patients were younger (60.9 ± 10.4 vs. 68 ± 8.9 years, <i>P</i> = 0.002) and predominantly women (76% vs. 47%, <i>P</i> = 0.009). Ejection fraction (57 ± 9.4 vs. 56.4 ± 6, <i>P</i> = 0.776) as well as other clinical and demographic variables were similar. During median follow-up of 3.2 years, there were 27 composite adverse cardiovascular events (1 death, 10 acute chest pain events, 2 strokes, and 21 cardiac hospitalizations). iNC was associated with a higher risk of acute chest pain (HR: 19.0, 95% CI: 3.7-93) and the composite adverse outcome (HR: 3.3, 95% CI: 1.7-6.6), compared to matched patients. Similarly, iNOCAD was associated with a higher risk of the composite outcome (HR: 2.2, 95% CI: 1.2-4.2).</p><p><strong>Conclusion: </strong>Ischaemic ExE in the absence of angiographically obstructive CAD carries an elevated risk of adverse cardiovascular events necessitating medical optimization and close follow-up for progression.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf055"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12100468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144145389","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}
Jeffrey G Malins, D M Anisuzzaman, John I Jackson, Eunjung Lee, Jwan A Naser, Jared G Bird, Paul A Friedman, Christie C Ngo, Jae K Oh, Gal Tsaban, Patricia A Pellikka, Jeremy J Thaden, Francisco Lopez-Jimenez, Zachi I Attia, Sorin V Pislaru, Garvan C Kane
{"title":"A deep learning model for classifying left ventricular enlargement for both transthoracic echocardiograms and handheld cardiac ultrasound.","authors":"Jeffrey G Malins, D M Anisuzzaman, John I Jackson, Eunjung Lee, Jwan A Naser, Jared G Bird, Paul A Friedman, Christie C Ngo, Jae K Oh, Gal Tsaban, Patricia A Pellikka, Jeremy J Thaden, Francisco Lopez-Jimenez, Zachi I Attia, Sorin V Pislaru, Garvan C Kane","doi":"10.1093/ehjimp/qyaf049","DOIUrl":"10.1093/ehjimp/qyaf049","url":null,"abstract":"<p><strong>Aims: </strong>To develop a deep learning model that: (i) utilizes transthoracic echocardiography (TTE) clips to detect left ventricular (LV) enlargement without being provided information regarding a patient's sex and body size; and (ii) can be accurately applied to clips acquired using either standard comprehensive TTE or handheld cardiac ultrasound (HCU).</p><p><strong>Methods and results: </strong>Using retrospective TTE data (training: 8722 patients; internal validation: 468 patients), we developed a deep learning model that estimates a patient's end-diastolic LV volume (indexed to body surface area and normalized across the sexes), and then thresholds this estimate to perform the following classifications: (1) normally sized LV vs. ≥ mild LV enlargement; (2) normal/mildly enlarged LV vs. ≥ moderate LV enlargement. For retrospective datasets, the model showed strong performance in TTE across three geographically distinct locations (Minnesota and Wisconsin: 1082 patients, AUC = 0.925 and 0.953 for classifications 1 and 2, respectively; Arizona: 1475 patients, AUC = 0.935 and 0.969; and Florida: 1481 patients, AUC = 0.934 and 0.970). Additionally, performance was strong for both TTE and HCU clips collected from a prospective cohort of 410 patients who underwent HCU immediately following TTE (TTE: AUC = 0.925 and 0.971; HCU: AUC = 0.874 and 0.902, for classifications 1 and 2, respectively).</p><p><strong>Conclusion: </strong>An automated deep learning model applied to TTE or HCU images accurately categorizes LV volumes. These results lay a foundation for future work aimed at optimizing clinical outcomes for heart failure patients by enabling early detection of LV enlargement across various point-of-care settings.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 3","pages":"qyaf049"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12275095/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677123","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}
Sharmeen Sorathia, Aro Daniela Arockiam, Ankit Agrawal, Elio Haroun, Rishabh Khurana, Abdelrahman Ahmed, Leslie Cho, Wael Jaber, Brian Griffin, Tom Kai Ming Wang
{"title":"Contemporary review of the clinical features, multi-modality imaging, and management of coronary artery aneurysms.","authors":"Sharmeen Sorathia, Aro Daniela Arockiam, Ankit Agrawal, Elio Haroun, Rishabh Khurana, Abdelrahman Ahmed, Leslie Cho, Wael Jaber, Brian Griffin, Tom Kai Ming Wang","doi":"10.1093/ehjimp/qyaf054","DOIUrl":"10.1093/ehjimp/qyaf054","url":null,"abstract":"<p><p>Coronary artery aneurysm (CAA) is a rare, dilated segment of the coronary artery. Phenotypically, it can have different morphologies, patterns, content, and affected vessels, making multimodality invasive and noninvasive imaging play a significant role in its evaluation. In this review article, we discuss in depth the contemporary perspectives in pathophysiology, epidemiology, clinical presentation, multimodality imaging evaluation, treatment strategies (medical, percutaneous and surgical) and outcomes of CAA. CAA is predominantly associated with coronary atherosclerotic diseases and/or autoimmune vasculitis conditions including Kawasaki disease. It can present with various clinical manifestations, from an incidental finding to myocardial infarction and life-threatening complications. While coronary angiography has been the gold standard to detect CAA, noninvasive modalities including coronary computed tomography have increasingly been utilized given its high resolution for anatomical depiction of the vessels and relations to surrounding structures. We suggest a stepwise approach to the assessment and clinical decision-making in the management of CAA. Pharmacological strategies include risk factor control and secondary prevention. For obstructive ischaemic presenting aneurysms, percutaneous is pursued, while larger or multi-vessel obstructive lesions are typically managed with coronary surgery.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf054"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152987","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}
Samuel Karmiy, Zhe Huang, Divya Velury, Eileen Mai, Jing Li, Monica M Dehn, Dikran R Balian, Davinder Ramsingh, John Martin, Jacob Kantrowitz, Ayan R Patel, Michael C Hughes, Benjamin S Wessler
{"title":"Machine learning-enabled screening for aortic stenosis with handheld ultrasound.","authors":"Samuel Karmiy, Zhe Huang, Divya Velury, Eileen Mai, Jing Li, Monica M Dehn, Dikran R Balian, Davinder Ramsingh, John Martin, Jacob Kantrowitz, Ayan R Patel, Michael C Hughes, Benjamin S Wessler","doi":"10.1093/ehjimp/qyaf051","DOIUrl":"10.1093/ehjimp/qyaf051","url":null,"abstract":"<p><strong>Aims: </strong>Neural network classifiers can detect aortic stenosis (AS) using limited cardiac ultrasound images. While networks perform very well using cart-based imaging, they have never been tested or fine-tuned for use with focused cardiac ultrasound (FoCUS) acquisitions obtained on handheld ultrasound devices.</p><p><strong>Methods and results: </strong>Prospective study performed at Tufts Medical Center. All patients ≥65 years of age referred for clinically indicated transthoracic echocardigraphy (TTE) were eligible for inclusion. Parasternal long axis and parasternal short axis imaging was acquired using a commercially available handheld ultrasound device. Our cart-based AS classifier (trained on ∼10 000 images) was tested on FoCUS imaging from 160 patients. The median age was 74 (inter-quartile range 69-80) years, 50% of patients were women. Thirty patients (18.8%) had some degree of AS. The area under the received operator curve (AUROC) of the cart-based model for detecting AS was 0.87 (95% CI 0.75-0.99) on the FoCUS test set. Last-layer fine-tuning on handheld data established a classifier with AUROC of 0.94 (0.91-0.97). AUROC during temporal external validation was 0.97 (95% CI 0.89-1.0). When performance of the fine-tuned AS classifier was modelled on potential screening environments (2 and 10% AS prevalence), the positive predictive value ranged from 0.72 (0.69-0.76) to 0.88 (0.81-0.97) and negative predictive value ranged from 0.94 (0.94-0.94) to 0.99 (0.99-0.99) respectively.</p><p><strong>Conclusion: </strong>Our cart-based machine-learning model for AS showed a drop in performance when tested on handheld ultrasound imaging collected by sonographers. Fine-tuning the AS classifier improved performance and demonstrates potential as a novel approach to detecting AS through automated interpretation of handheld imaging.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf051"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112385","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}
Luke Stefani, Anita Boyd, Jennifer Pham, Matthew Zada, Peter Emerson, Kerry Devine, Michel Tchan, Liza Thomas
{"title":"An echocardiographic prognostic risk stratification decision tree to determine adverse events in Anderson-Fabry disease.","authors":"Luke Stefani, Anita Boyd, Jennifer Pham, Matthew Zada, Peter Emerson, Kerry Devine, Michel Tchan, Liza Thomas","doi":"10.1093/ehjimp/qyaf032","DOIUrl":"https://doi.org/10.1093/ehjimp/qyaf032","url":null,"abstract":"<p><strong>Aims: </strong>Anderson-Fabry disease (AFD) is an X-linked disease, with cardiac involvement resulting in increased left ventricular (LV) wall thickness. Speckle tracking echocardiography analysis may be more sensitive in the assessment of myocardial impairment in AFD patients and have prognostic value. Our aim was to evaluate LV and left atrial (LA) dysfunction by traditional and strain parameters in AFD patients and evaluate prognostic utility.</p><p><strong>Methods and results: </strong>Fifty-six AFD patients were age- and sex-matched to 56 healthy controls. LV global longitudinal strain (GLS) and LA reservoir strain (LAS<sub>R</sub>) were significantly lower in male (GLS: 19.38[3.21] vs. 17.8[7.0], <i>P</i> = 0.009; LAS<sub>R</sub>: 38.07 ± 6.67 vs. 31.12 ± 6.76, <i>P</i> = 0.003) and female (GLS: 20.58 ± 1.63 vs. 19.29 ± 1.67, <i>P</i> = 0.003; LAS<sub>R</sub>: 38.77 ± 7.43 vs. 33.13 ± 6.06, <i>P</i> < 0.001) AFD patients compared with controls. Reduced strain parameters were also seen in female AFD patients with normal wall thickness (GLS: 20.88 ± 1.74 vs. 19.72 ± 1.53, <i>P</i> = 0.037; LAS<sub>R</sub>: 40.09 ± 7.15 vs. 34.79 ± 6.20, <i>P</i> = 0.004). 53/56 AFD patients had a median follow-up of 43[81] months; 11/53 experienced an adverse cardiovascular event (i.e. cardiac death, myocardial infarction, arrhythmias, stroke. and heart failure). LV wall thickness, LAVI<sub>max</sub>, and LV GLS displayed good sensitivity and specificity for adverse cardiac events. A prognostic risk decision tree comprising of these parameters demonstrated good predictive value for adverse events (AUC = 0.910).</p><p><strong>Conclusion: </strong>We demonstrate differences in LV and LA echocardiographic parameters in AFD patients compared with healthy controls, including female AFD patients with normal LV wall thickness. A prognostic risk decision tree stratified AFD patients into three groups with the highest risk group demonstrating more AFD-related adverse events.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf032"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12059639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002939","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}
Demeke Mekonnen, Claire B Ren, Jorge Mercado, Victoria Garcia-Ruiz, Reto Kurmann, Fabian Zürcher, Peter Krähenmann, Nassip Llerena, Pedro Torres, Thomas Pilgrim, Ernest Spitzer
{"title":"Echocardiographic nomograms in children living at high altitude according to sex.","authors":"Demeke Mekonnen, Claire B Ren, Jorge Mercado, Victoria Garcia-Ruiz, Reto Kurmann, Fabian Zürcher, Peter Krähenmann, Nassip Llerena, Pedro Torres, Thomas Pilgrim, Ernest Spitzer","doi":"10.1093/ehjimp/qyaf053","DOIUrl":"10.1093/ehjimp/qyaf053","url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to establish 2D and M-mode echocardiographic reference values for cardiac chambers, outflow tracts, and great vessels for school children living at high altitudes, differentiated between males and females.</p><p><strong>Methods and results: </strong>This <i>post hoc</i> analysis included children with normal echocardiography from a cluster randomized cross-sectional survey of rheumatic heart disease among school children in Peru. The echocardiograms were acquired with a portable machine and the images were analysed centrally with a standardized methodology. Body surface area (BSA) was used as an independent variable to predict the mean values of echocardiographic measurements for both male and female groups. Reference values are presented on z-scores and nomograms based on sex. Propensity score matching was used to compare sexes. A total of 985 students aged 5-16 years were included. The Haycock formula provided the best fit and was used when presenting data as predicted values for a given BSA. The z-score and nomograms for all essential parameters of cardiac chambers, great vessels, and functional surrogates are presented based on sex. The majority of the parameters were significantly different per sex after propensity score matching.</p><p><strong>Conclusion: </strong>Normal reference values and nomograms of cardiac chambers, outflow tracts, and great arteries in healthy school children living at high altitudes based on sex were reported. These data partly addressed the existing gaps in paediatric echocardiographic nomograms.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf053"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12102484/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144145388","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}
Jinyang Yu, Anders Austlid Taskén, Erik Andreas Rye Berg, Tomas Dybos Tannvik, Katrine Hordnes Slagsvold, Idar Kirkeby-Garstad, Bjørnar Grenne, Gabriel Kiss, Svend Aakhus
{"title":"Continuous three-dimensional transesophageal echocardiography and deep learning for perioperative monitoring of left ventricular longitudinal function.","authors":"Jinyang Yu, Anders Austlid Taskén, Erik Andreas Rye Berg, Tomas Dybos Tannvik, Katrine Hordnes Slagsvold, Idar Kirkeby-Garstad, Bjørnar Grenne, Gabriel Kiss, Svend Aakhus","doi":"10.1093/ehjimp/qyaf052","DOIUrl":"10.1093/ehjimp/qyaf052","url":null,"abstract":"<p><strong>Aims: </strong>Continuous monitoring of left ventricular (LV) function may improve cardiopulmonary management. Therefore, we have developed <i>3D autoMAPSE</i>, a novel method that combines 3D transesophageal echocardiography and deep learning to automatically measure mitral annular plane systolic excursion (MAPSE). We hypothesized that 3D autoMAPSE could provide continuous monitoring of LV function in perioperative patients.</p><p><strong>Methods and results: </strong>This prospective observational study included 50 adult intensive care patients after cardiac surgery. Single-beat full-volume 3D recordings were obtained every 5 min over a 120-min period using a hands-free method that simulated continuous monitoring with transesophageal echocardiography. Precision and agreement with manual MAPSE were determined by a test-retest study design during hemodynamic stability. Our results show that continuous monitoring by 3D autoMAPSE had excellent feasibility (99%). It analysed 10 cycles instantaneously (55 ± 15 s) with high precision (least significant change 1.6 mm). 3D autoMAPSE had adequate agreement with manual MAPSE (bias -1.4 mm, limits of agreement -4.0 to 1.2 mm). Continuous 3D autoMAPSE was associated with both N-terminal pro B-type natriuretic peptide (<i>rho</i> = -0.37, <i>P</i> = 0.008) and high-sensitivity troponin-T (<i>rho</i> = -0.28, <i>P</i> = 0.047). This association was slightly stronger than for LV ejection fraction or any other single echocardiographic measurement.</p><p><strong>Conclusion: </strong>3D autoMAPSE provided continuous monitoring of LV function in perioperative patients by obtaining highly feasible and precise measurements that agree with manual echocardiography and postoperative biomarkers. Thus, continuous 3D autoMAPSE may be an attractive complement to hemodynamic monitoring that can aid cardiopulmonary management.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf052"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092336/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121920","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}
Mohamed Elshibly, Simran Shergill, Kelly Parke, Charley Budgeon, Rachel England, Ciaran Grafton-Clarke, Fathelrahman Elshibly, Peter Kellman, Gerry P McCann, Jayanth R Arnold
{"title":"Standard breath-hold versus free-breathing real-time cine cardiac MRI-a prospective randomized comparison in patients with known or suspected cardiac disease.","authors":"Mohamed Elshibly, Simran Shergill, Kelly Parke, Charley Budgeon, Rachel England, Ciaran Grafton-Clarke, Fathelrahman Elshibly, Peter Kellman, Gerry P McCann, Jayanth R Arnold","doi":"10.1093/ehjimp/qyaf042","DOIUrl":"https://doi.org/10.1093/ehjimp/qyaf042","url":null,"abstract":"<p><strong>Aims: </strong>Cardiovascular magnetic resonance (CMR) is established as the reference standard for cardiac volumetric assessment. Despite the accuracy and robustness of steady-state free precession (SSFP) cine imaging, its use may prove challenging in patients with arrhythmia and in those who cannot perform repeated breath holds. An alternative solution may be a free-breathing electrocardiogram (ECG)-triggered, retro-gated, real-time cine sequence. This study sought to compare left ventricular volumetric, wall motion, and thickness assessment with both techniques.</p><p><strong>Methods and results: </strong>Consecutive patients with known or suspected cardiac disease referred for clinical CMR were studied at 3-Tesla. Participants underwent short-axis standard SSFP and real-time cine imaging in a randomized order within the same scan. Between sequence agreement and mean difference were compared for end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume, ejection fraction (EF), left ventricular mass (LVM), maximal wall thickness (MWT), and wall motion score index (WMSi). Two hundred and two patients (mean age 61 ± 14 years, 51% male and 14% irregular rhythm) were studied. All left ventricular indices showed good-excellent agreement between the two methods [intraclass correlation coefficient (95% confidence interval), EDV 0.96 (0.95-0.97), ESV 0.96 (0.94-0.97), EF 0.85 (0.81-0.88), LVM 0.93 (0.91-0.95), MWT 0.80 (0.75-0.85), and WMSi 0.93 (0.91-0.95)].</p><p><strong>Conclusion: </strong>In patients with known or suspected cardiac disease, real-time cine imaging demonstrates good-excellent reproducibility of LV volumetric, wall thickness and resting wall motion assessment when compared with standard SSFP (Trial registration: NCT05221853).</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf042"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12041914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030501","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":"Thank you to reviewers 2024.","authors":"","doi":"10.1093/ehjimp/qyaf004","DOIUrl":"https://doi.org/10.1093/ehjimp/qyaf004","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf004"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018219/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061244","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}
Carolina Donà, Noemi Pavo, Adriana Vinzens, Pimrapat Gebert, Dietrich Beitzke, Lukas Reider, Nidaa Mikail, Alexia Rossi, Katharina Mascherbauer, Susan Bengs, Achi Haider, Ronny R Buechel, Philipp E Bartko, Christian Loewe, Julia Mascherbauer, Christian Hengstenberg, Georg Goliasch, Max Paul Winter, Catherine Gebhard
{"title":"Quantification of perivascular adipose tissue attenuation does not add incremental prognostic value in patients undergoing transcatheter aortic valve implantation.","authors":"Carolina Donà, Noemi Pavo, Adriana Vinzens, Pimrapat Gebert, Dietrich Beitzke, Lukas Reider, Nidaa Mikail, Alexia Rossi, Katharina Mascherbauer, Susan Bengs, Achi Haider, Ronny R Buechel, Philipp E Bartko, Christian Loewe, Julia Mascherbauer, Christian Hengstenberg, Georg Goliasch, Max Paul Winter, Catherine Gebhard","doi":"10.1093/ehjimp/qyaf047","DOIUrl":"10.1093/ehjimp/qyaf047","url":null,"abstract":"<p><strong>Aims: </strong>Perivascular adipose tissue attenuation (PVAT) has emerged as a novel coronary computed tomography angiography (CCTA)-based biomarker predicting cardiovascular events by capturing inflammation around the coronary arteries. We assessed whether PVAT adds incremental prognostic value in patients undergoing transcatheter aortic valve implantation (TAVI).</p><p><strong>Methods and results: </strong>A total of 510 patients underwent CCTA imaging prior to TAVI between November 2015 and June 2020 at the Medical University of Vienna. PVAT was obtained from CCTA images and was measured around the right coronary artery [PVAT(RCA)] and the aortic valve [PVAT(valve)]. Following application of exclusion criteria, 372 patients [mean age 80.6 ± 6.8 years; 169 (45%) women] were analysed. Over a median follow-up of 3.0 (IQR 2.5-3.6) years, 52 (14%) individuals experienced a major adverse cardiovascular event (MACE, a composite of non-fatal stroke or myocardial infarction, cardiac death, or vascular intervention). Individuals exhibiting elevated PVAT[valve] displayed a heightened surgical risk according to European System for Cardiac Operative Risk Evaluation II, a lower body mass index, reduced left ventricular ejection fraction, prolonged hospitalization following TAVI, and elevated levels of circulating inflammatory markers compared with those in the low PVAT[valve] group (<i>P</i> < 0.05). However, neither PVAT[valve] nor PVAT[RCA] were independently associated with the occurrence of MACE in adjusted multi-variable analyses (PVAT[valve]: sub-distribution hazard ratio [SHR] 1.14, 95% CI:0.63-2.05, <i>P</i> = 0.672); PVAT[RCA]: SHR 1.16 [95% CI: 0.81-1.66], <i>P</i> = 0.417).</p><p><strong>Conclusion: </strong>Measuring PVAT around either the right coronary artery or the aortic valve does not provide additional prognostic value beyond established risk factors for the prediction of MACE in patients undergoing TAVI.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf047"},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12078938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083129","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}