European heart journal. Imaging methods and practice最新文献

{"title":"Image-guided percutaneous revascularization of the coronary arteries.","authors":"Mirvat Alasnag, Fawaz Bardooli, Tom Johnson, Alexander G Truesdell","doi":"10.1093/ehjimp/qyae122","DOIUrl":"10.1093/ehjimp/qyae122","url":null,"abstract":"<p><p>The European Society of Cardiology recently updated guidelines on the management of chronic coronary syndromes upgrading the use of intracoronary imaging for complex percutaneous coronary interventions (PCI) to a class 1A recommendation. It is essential that the interventional community appreciate the additive value of intracoronary imaging over angiography alone-not only to obtain optimal acute PCI results but also to improve longer-term cardiovascular outcomes. The purpose of this manuscript is to review the latest evidence that informed the recent guideline recommendations and expand on the specific role of the different imaging modalities before, during, and after PCI.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae122"},"PeriodicalIF":0.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632525/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142815452","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":"Multimodality imaging challenge: differentiating a pleiomorphic sarcoma of the left atrial appendage from a thrombus.","authors":"Michiel Lembrechts, Guy Vandenplas, Philippe Vanduynhoven, Elke De Vuyst","doi":"10.1093/ehjimp/qyae119","DOIUrl":"10.1093/ehjimp/qyae119","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae119"},"PeriodicalIF":0.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11642600/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831604","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":"Echocardiographer-guided transjugular three-dimensional intracardiac echocardiography in combination with transoesophageal echocardiography enhances the image quality during tricuspid valve repair procedures.","authors":"Massimiliano Mariani, Michela Bonanni, Rachele Manzo, Rosangela Capasso, Luigi Emilio Pastormerlo, Marcello Ravani, Tommaso Gasbarri, Umberto Paradossi, Sergio Berti","doi":"10.1093/ehjimp/qyae118","DOIUrl":"10.1093/ehjimp/qyae118","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae118"},"PeriodicalIF":0.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11630000/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808967","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":"Severe concentric hypertrophy after cardiac arrest makes support with ECPELLA® impossible.","authors":"Maria Vidal-Burdeus, Eduard Argudo, Imanol Otaegui-Irureta, Jordi Riera-Del Brio, Aitor Uribarri","doi":"10.1093/ehjimp/qyae112","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae112","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae112"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11578546/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684066","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":"How to address the coronaries in TAVI candidates: can the need for revascularization be safely determined by CT angiography only?","authors":"Katharina Theresa Julia Mascherbauer, Gudrun Lamm, Andreas Anselm Kammerlander, Maximilian Will, Christian Nitsche, Roya Anahita Mousavi, Caglayan Demirel, Philipp Emanuel Bartko, Konstantin Schwarz, Christian Hengstenberg, Julia Mascherbauer","doi":"10.1093/ehjimp/qyae096","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae096","url":null,"abstract":"<p><p>Coronary artery disease (CAD) remains one of the most frequent comorbidities among transcatheter aortic valve implantation (TAVI) candidates. Whether routine assessment of CAD by invasive coronary angiography (CA) and eventual peri-procedural percutaneous coronary intervention (PCI) is generally beneficial in TAVI patients has recently been heavily questioned. CA carries significant risks, such as kidney injury, bleeding, and prolonged hospital stay, and may frequently be unnecessary if significant stenoses of the proximal coronary segments can be ruled out on computed tomography angiography. Moreover, the benefits of pre-emptive coronary revascularization at the time of TAVI are not well defined. Despite these facts and weak guideline recommendations, CA and eventual PCI of stable significant coronary lesions at the time of TAVI remain common practice. However, ongoing randomized trials currently challenge the efficacy of such strategies to enable a more streamlined, individualized, and resource-sparing treatment with TAVI.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 2","pages":"qyae096"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11518922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549850","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":"Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study.","authors":"Ádám Szijártó, Alina Nicoara, Mihai Podgoreanu, Márton Tokodi, Alexandra Fábián, Béla Merkely, András Sárkány, Zoltán Tősér, Sergio Caravita, Claudia Baratto, Michele Tomaselli, Denisa Muraru, Luigi Paolo Badano, Bálint Lakatos, Attila Kovács","doi":"10.1093/ehjimp/qyae099","DOIUrl":"10.1093/ehjimp/qyae099","url":null,"abstract":"<p><strong>Aims: </strong>Conventional echocardiographic parameters of right ventricular (RV) function are afterload-dependent. Therefore, incorporating RV pressures may enable the formulation of new parameters that reflect intrinsic RV function accurately. Accordingly, we sought to develop an artificial intelligence-based method to reconstruct the RV pressure curve based on the peak RV pressure.</p><p><strong>Methods and results: </strong>We invasively acquired RV pressure in 29 heart failure patients before and after implanting a left ventricular (LV) assist device. Using these tracings, we trained various machine learning models to reconstruct the RV pressure curve of the entire cardiac cycle based on the peak value of the curve. The best-performing model was compared with two other methods that estimated RV pressures based on a reference LV and RV pressure curve, respectively. Seventeen consecutive patients from another centre who underwent right heart catheterization and simultaneous echocardiography served as an external validation cohort. Among the evaluated algorithms, multilayer perceptron (MLP) achieved the best performance with an <i>R</i> ² of 0.887 (0.834-0.941). The RV and LV reference curve-based methods achieved <i>R</i> ² values of 0.879 (0.815-0.943) and 0.636 (0.500-0.771), respectively. During external validation, MLP exhibited similarly good performance [<i>R</i> ² 0.911 (0.873-0.948)], which decreased only modestly if the echocardiography-derived peak RV pressure was used instead of the invasively measured peak RV pressure [<i>R</i> ² 0.802 (0.694-0.909)].</p><p><strong>Conclusions: </strong>The proposed method enables the reconstruction of the RV pressure curve using only the peak value as input. Thus, it may serve as a fundamental component for developing new echocardiographic tools targeting the afterload-adjusted assessment of RV function.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 4","pages":"qyae099"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959175/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766284","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":"Feasibility validation of automatic diagnosis of mitral valve prolapse from multi-view echocardiographic sequences based on deep neural network.","authors":"Zijian Wu, Zhenyi Ge, Zhengdan Ge, Yumeng Xing, Weipeng Zhao, Lili Dong, Yongshi Wang, Dehong Kong, Chunqiang Hu, Yixiu Liang, Haiyan Chen, Wufeng Xue, Cuizhen Pan, Dong Ni, Xianhong Shu","doi":"10.1093/ehjimp/qyae086","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae086","url":null,"abstract":"<p><strong>Aims: </strong>To address the limitations of traditional diagnostic methods for mitral valve prolapse (MVP), specifically fibroelastic deficiency (FED) and Barlow's disease (BD), by introducing an automated diagnostic approach utilizing multi-view echocardiographic sequences and deep learning.</p><p><strong>Methods and results: </strong>An echocardiographic data set, collected from Zhongshan Hospital, Fudan University, containing apical 2 chambers (A2C), apical 3 chambers (A3C), and apical 4 chambers (A4C) views, was employed to train the deep learning models. We separately trained view-specific and view-agnostic deep neural network models, which were denoted as MVP-VS and MVP view-agonistic (VA), for MVP diagnosis. Diagnostic accuracy, precision, sensitivity, F1-score, and specificity were evaluated for both BD and FED phenotypes. MVP-VS demonstrated an overall diagnostic accuracy of 0.94 for MVP. In the context of BD diagnosis, precision, sensitivity, F1-score, and specificity were 0.83, 1.00, 0.90, and 0.92, respectively. For FED diagnosis, the metrics were 1.00, 0.83, 0.91, and 1.00. MVP-VA exhibited an overall accuracy of 0.95, with BD-specific metrics of 0.85, 1.00, 0.92, and 0.94 and FED-specific metrics of 1.00, 0.83, 0.91, and 1.00. In particular, the MVP-VA model using mixed views for training demonstrated efficient diagnostic performance, eliminating the need for repeated development of MVP-VS models and improving the efficiency of the clinical pipeline by using arbitrary views in the deep learning model.</p><p><strong>Conclusion: </strong>This study pioneers the integration of artificial intelligence into MVP diagnosis and demonstrates the effectiveness of deep neural networks in overcoming the challenges of traditional diagnostic methods. The efficiency and accuracy of the proposed automated approach suggest its potential for clinical applications in the diagnosis of valvular heart disease.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 4","pages":"qyae086"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519029/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549851","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":"A tri-leaflet mitral valve with left ventricular non-compaction cardiomyopathy.","authors":"Junko Iguchi, Sho Suzuki, Kazuhiro Kimura, Masatoshi Minamisawa, Koichiro Kuwahara","doi":"10.1093/ehjimp/qyae111","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae111","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae111"},"PeriodicalIF":0.0,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635680","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":"CT-FFR by expanding coronary tree with Newton-Krylov-Schwarz method to solve the governing equations of CFD.","authors":"Weifeng Guo, Wei He, Yige Lu, Jiasheng Yin, Li Shen, Shan Yang, Hang Jin, Xinhong Wang, Jiang Jun, Xinyang Hu, Jianwen Liang, Wenbin Wei, Jiansheng Wu, Hua Zhang, Hao Zhou, Yanqing Wu, Renqiang Yang, Jinyu Huang, Guoxin Tong, Beibei Gao, Rongliang Chen, Jia Liu, Zhengzheng Yan, Zaiheng Cheng, Jianan Wang, Chenguang Li, Zhifeng Yao, Mengsu Zeng, Junbo Ge","doi":"10.1093/ehjimp/qyae106","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae106","url":null,"abstract":"<p><strong>Aims: </strong>A new model of computational fluid dynamics (CFD)-based algorithm for coronary CT angiography (CCTA)-derived fractional flow reserve (FFR) (CT-FFR) analysis by expanding the coronary tree to smaller-diameter lumen (0.8 mm) using Newton-Krylov-Schwarz (NKS) method to solve the three-dimensional time-dependent incompressible Navier-Stokes equations has been developed; however, the diagnostic performance of this new method has not been sufficiently investigated. The aim of this study was to determine the diagnostic performance of a novel CT-FFR technique by expanding the coronary tree in the CFD domain.</p><p><strong>Methods and results: </strong>Six centres enrolled 338 symptomatic patients with suspected or known coronary artery disease (CAD) who prospectively underwent CCTA and FFR. Stenosis assessment in CCTA and CT-FFR analysis were performed in independent core laboratories. Haemodynamically significant stenosis was defined by a CT-FFR and FFR ≤ 0.80, and anatomically obstructive CAD was defined as a CCTA with stenosis ≥ 50%. Diagnostic performance of CT-FFR was evaluated against invasive FFR using receiver operating characteristic (ROC) curve analysis. The correlation between CT-FFR and invasive FFR was analysed using the Spearman correlation coefficient and Bland-Altman analysis. Intra-observer and inter-observer agreements were evaluated utilizing the intraclass correlation coefficient (ICC). In this study, 338 patients with 422 targeted vessels were investigated, revealing haemodynamically significant stenosis in 31.1% (105/338) of patients and anatomically obstructive stenosis in 54.1% of patients. On a per-vessel basis, the area under the ROC curve for CT-FFR was 0.94 vs. 0.76 for CCTA (<i>P</i> < 0.001). Per-vessel accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 89.8%, 89.3%, 90.0%, 79.0%, and 99.2%, respectively, for CT-FFR and were 68.4%, 82.8%, 62.3%, 48.1%, and 89.6%, respectively, for CCTA stenosis. CT-FFR and FFR were well correlated (<i>r</i> = 0.775, <i>P</i> < 0.001) with a Bland-Altman bias of 0.0011, and limits of agreement from -0.1509 to 0.1531 (<i>P</i> = 0.770). The ICCs with CT-FFR for intro- and inter-observer agreements were 0.919 (95% CI: 0.866-0.952) and 0.909 (95% CI: 0.851-0.945), respectively. The average computation time for CT-FFR analysis was maintained at 11.7 min.</p><p><strong>Conclusion: </strong>This novel CT-FFR model with the inclusion of smaller lumen provides high diagnostic accuracy in detecting haemodynamically significant CAD. Furthermore, the integration of the NKS method ensures that the computation time remains within an acceptable range for potential clinical applications in the future.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae106"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11547952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635683","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":"Multimodality imaging in recognizing and differentiating cardiac masses in a patient with cancer presenting with non-ST-elevation myocardial infarction.","authors":"Vasileios Bouratzis, Lampros Lakkas, Christos Floros, Anna Lea Amylidi, Nikoleta Douskou, Ilektra Stamou, Katerina K Naka","doi":"10.1093/ehjimp/qyae110","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae110","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 3","pages":"qyae110"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551223/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635684","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}