Journal of Echocardiography最新文献

{"title":"Stuck valve and left atrial thrombus in a patient with hypereosinophilic syndrome.","authors":"Asahi Oshima, Yu Horiuchi, Taiki Ishizawa, Jiro Aoki, Tsuyoshi Taketani, Akitake Suzuki, Kengo Tanabe","doi":"10.1007/s12574-022-00581-w","DOIUrl":"https://doi.org/10.1007/s12574-022-00581-w","url":null,"abstract":"","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"140-141"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10390821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in blood flow vortices inside the left ventricle in COVID-19 patients with intraventricular clot despite a normal coronary and myocardial motion.","authors":"Mersedeh Karvandi,&nbsp;Arash Mohammadi Tofigh,&nbsp;Saeed Ranjbar,&nbsp;Luigi P Badano","doi":"10.1007/s12574-023-00603-1","DOIUrl":"https://doi.org/10.1007/s12574-023-00603-1","url":null,"abstract":"<p><strong>Purpose: </strong>Our clinical observations showed clot formations in different regions of the left ventricle of the heart in some COVID-19 patients with normal myocardial motion and coronary artery. The aim of this study was to examine the changes caused by COVID-19 disease on blood flow inside the heart as a possible etiology of intracardiac clot formation.</p><p><strong>Methods: </strong>In a synergic convergence of mathematics, computer science, and cardio-vascular medicine, we evaluated patients hospitalized due to COVID-19 without cardiac symptoms who underwent two-dimensional echocardiography. Patients with normal myocardial motions on echocardiography, normal coronary findings on noninvasive cardio-vascular diagnostic tests, and normal cardiac biochemical examinations but who presented with a clot in their left ventricle were included. To display the velocity vectors of the blood in the left ventricle, motion and deformation echocardiographic data were imported into MATLAB software.</p><p><strong>Results: </strong>Analysis and output of the MATLAB program indicted anomalous blood flow vortices inside the left ventricular cavity, indicating irregular flow and turbulence of the blood inside the left ventricle in COVID-19 patients.</p><p><strong>Conclusion: </strong>Our results suggest that in some COVID-19 patients, cardiac wall motion is not satisfactorily able to circulate the blood fluid in normal directions and that, despite normal myocardium, changes in the directions of blood flow inside the left ventricle might lead to clots in different zones. This phenomenon may be related to changes in blood properties, such as viscosity.</p>","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"122-130"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10017806","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":"Echocardiographic reporting, artificial intelligence and natural language processing: correspondence.","authors":"Amnuay Kleebayoon,&nbsp;Viroj Wiwanitkit","doi":"10.1007/s12574-023-00614-y","DOIUrl":"https://doi.org/10.1007/s12574-023-00614-y","url":null,"abstract":"","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"142-143"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10037938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lethal calcification at aortic valve annulus: a multi-edged sword.","authors":"Yo Kawahara,&nbsp;Tomoo Nagai,&nbsp;Shota Moroe,&nbsp;Hiroki Takeuchi","doi":"10.1007/s12574-022-00580-x","DOIUrl":"https://doi.org/10.1007/s12574-022-00580-x","url":null,"abstract":"","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"138-139"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10007118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing.","authors":"Kenya Kusunose","doi":"10.1007/s12574-023-00611-1","DOIUrl":"https://doi.org/10.1007/s12574-023-00611-1","url":null,"abstract":"<p><p>Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transforming everything from data capture to report generation. In the field of echocardiography, AI offers the potential to enhance accuracy, speed up reporting, and reduce the workload of physicians. This is an advantage because, compared to computed tomography and magnetic resonance imaging, echocardiograms tend to exhibit higher observer variability in interpretation. This review takes a comprehensive viewpoint at AI-based reporting systems and their application in echocardiography, emphasizing the need for automated diagnoses. The integration of natural language processing (NLP) technologies, including ChatGPT, could provide revolutionary advancements. One of the exciting prospects of AI integration is its potential to accelerate reporting, thereby improving patient outcomes and access to treatment, while also mitigating physician burnout. However, AI introduces new challenges like ensuring data quality, managing potential over-reliance on AI, addressing legal and ethical concerns, and balancing significant costs against benefits. As we navigate these complexities, it's important for cardiologists to stay updated with AI advancements and learn to utilize them effectively. AI has the potential to be integrated into daily clinical practice, becoming a valuable tool for healthcare professionals dealing with heart diseases, provided it's approached with careful consideration.</p>","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"99-104"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10411555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intraoperative transesophageal echocardiography reveals diastolic mitral regurgitation caused by an aortic regurgitation jet.","authors":"Takashi Ota,&nbsp;Kozo Sato,&nbsp;Kenichiro Noguchi,&nbsp;Shigeru Saito","doi":"10.1007/s12574-022-00579-4","DOIUrl":"https://doi.org/10.1007/s12574-022-00579-4","url":null,"abstract":"","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"136-137"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10007123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peak atrial longitudinal strain represents atrial fibrillation burden in daily practice: clinical implication of routine left atrial strain measurements.","authors":"Tsutomu Takagi,&nbsp;Takeshi Hosomi","doi":"10.1007/s12574-022-00595-4","DOIUrl":"https://doi.org/10.1007/s12574-022-00595-4","url":null,"abstract":"<p><strong>Background: </strong>Usefulness of left atrial (LA) strain measurements using speckle tracking echocardiography has been reported in various clinical settings. However, clinical implication of routine LA strain measurements in daily practice remains unclear. The purpose of this study was to evaluate clinical utility of routine LA strain measurements in daily practice.</p><p><strong>Methods: </strong>From January 6, 2020 to December 28, 2021, 338 consecutive patients underwent echocardiography in Takagi Cardiology Clinic, and all comers were enrolled to the study. Echocardiographic measurements including peak atrial longitudinal strain (PALS) measurement using speckle tracking echocardiography were attempted in all patients.</p><p><strong>Results: </strong>PALS was obtained in 335 patients (age 71 ± 16 years, male 43%, hypertensive 74%), and mean value was 22.3 ± 11.5%. PALS was progressively impaired with worsening atrial fibrillation (AF) burden. PALS in patients without AF, in patients with history of AF (paroxysmal AF &/or ablation therapy), and in patients with AF onsite were 26.8 ± 9.8%, 20.3 ± 7.9%, and 8.1 ± 3.3%, respectively (anova p < 0.0001). In patients without history of AF at the time of echocardiography, using cut-off value of 15.0% (i.e., mean + 2SD of PALS in AF patients), Kaplan-Meier analysis revealed that impaired PALS was associated with increased new-onset AF during follow-up period (log-rank p < 0.0001).</p><p><strong>Conclusion: </strong>In daily practice, PALS represents AF burden. Furthermore, impaired PALS is associated with increased new-onset AF. Therefore, routine LA strain measurements using speckle tracking echocardiography will be useful in risk stratification of AF in daily practice.</p>","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"113-121"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10007608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Right ventricular systolic strain in patients with pulmonary hypertension: clinical feasibility, reproducibility, and correlation with ejection fraction.","authors":"Ramaimon Tunthong,&nbsp;Abdalla A Salama,&nbsp;Conor M Lane,&nbsp;Nowell M Fine,&nbsp;Vidhu Anand,&nbsp;Ratnasari Padang,&nbsp;Jeremy J Thaden,&nbsp;Sorin V Pislaru,&nbsp;Garvan C Kane","doi":"10.1007/s12574-022-00593-6","DOIUrl":"https://doi.org/10.1007/s12574-022-00593-6","url":null,"abstract":"<p><strong>Background: </strong>Right ventricular (RV) systolic function is the major determinant of prognosis in patients with pulmonary hypertension (PH) with quantitative assessment by speckle-tracking strain echocardiography emerging as a viable candidate measure.</p><p><strong>Method: </strong>We evaluated a prospective cohort of 231 patients with known or suspected PH referred for clinical echocardiography. All underwent measurement of RV free-wall systolic strain by sonographer staff. Digital images were recorded for blinded offline assessment by an expert echocardiographer. Reproducibility was assessed using the analysis methods of Bland-Altman and the Cohen's-Kappa coefficient.</p><p><strong>Results: </strong>RV strain was feasible in 213 (92%). The average RV systolic pressure was 59 ± 22 mmHg. RV systolic strain correlated with functional class, NT-proBNP, and the degree of RV enlargement. The average free-wall systolic strain was - 20 ± 7% (range  - 2 to  - 37%). The RV strain measures (clinical practice versus blinded expert) had an excellent correlation with a normal distribution (R² 0.87, p < 0.0001). By Bland-Altman analysis, the mean difference in measurement was - 1.7% (95% CI - 1.4 to - 2.1) with a correlation of 0.93, p value of < 0.0001. The reproducibility of RV strain for clinically relevant thresholds was also excellent (Kappa coefficients 0.68-0.83). There was no effect on the variability of strain measures across body mass, pulmonary pressures, or rhythm. RV strain correlated with RV diastolic volumes and ejection fraction with RV free wall strain being the best echo predictor for a reduction in ejection fraction.</p><p><strong>Conclusion: </strong>Here RV systolic strain was found to be highly feasible and reproducible in clinical practice with excellent levels of agreement for clinically relevant thresholds.</p>","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 3","pages":"105-112"},"PeriodicalIF":1.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10073094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-invasive imaging of ventricular-atrial fistulization secondary to infective rupture of caseous calcification of the mitral annulus.","authors":"Gabriella Locorotondo,&nbsp;Alessio Angelini,&nbsp;Erica Rocco,&nbsp;Laura Manfredonia,&nbsp;Annalisa Pasquini,&nbsp;Francesca Graziani,&nbsp;Antonella Lombardo","doi":"10.1007/s12574-022-00566-9","DOIUrl":"https://doi.org/10.1007/s12574-022-00566-9","url":null,"abstract":"","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 2","pages":"87-90"},"PeriodicalIF":1.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9631445","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":"Echocardiographic evaluation of left ventricular function using an automated analysis algorithm is feasible for beginners and experts: comparison with invasive and non-invasive methods.","authors":"Philipp Nicol,&nbsp;Andreas Rank,&nbsp;Tobias Lenz,&nbsp;Friederike Schürmann,&nbsp;Finn Syryca,&nbsp;Teresa Trenkwalder,&nbsp;Wibke Reinhard,&nbsp;Rafael Adolf,&nbsp;Martin Hadamitzky,&nbsp;Adnan Kastrati,&nbsp;Michael Joner,&nbsp;Heribert Schunkert,&nbsp;Leif-Christopher Engel","doi":"10.1007/s12574-022-00590-9","DOIUrl":"10.1007/s12574-022-00590-9","url":null,"abstract":"<p><strong>Aims: </strong>Echocardiographic measurement of left ventricular function using a user-friendly automated three-dimensional algorithm is highly attractive as it promises quick and accurate diagnosis, circumventing limitations associated with visual estimation or manual biplane measurements. We sought to assess the feasibility and correlation of such automated analysis with clinically established methods.</p><p><strong>Methods: </strong>A total of 198 patients undergoing transthoracic echocardiography (TTE) with assessment of left ventricular parameters by automated software algorithm (Philips 3D-Heartmodel; 3D-HM) which additionally had either left ventricular angiography (LVA) or cardiac magnetic resonance (CMR) within 24 h of the TTE examination were analyzed. Left ventricular parameters (left ventricular end-diastolic volume, LVEDV, left ventricular end-systolic volume, LVESV as well as left ventricular ejection fraction, LVEF) were compared between 3D-HM, CMR and LVA.</p><p><strong>Results: </strong>Correlation of left ventricular measurements was overall good to excellent and stronger for CMR (EF r = 0.824) than for LVA (EF r = 0.746). Unexperienced and expert clinicians yielded comparable good results. For CMR, highest correlation was detected in patients with BMI < 25 and excellent image quality. High agreement was seen between 3D-HM and CMR or LVA when stratifying patients according to heart failure categories.</p><p><strong>Conclusions: </strong>Echocardiographic quantification of left ventricular parameters using a software-based algorithm correlated well with established invasive and non-invasive modalities in the clinical setting, even for unexperienced clinicians. Such automated approaches are promising as they allow a reliable, more observer-independent as well as reproducible assessment of left ventricular function.</p>","PeriodicalId":44837,"journal":{"name":"Journal of Echocardiography","volume":"21 2","pages":"65-73"},"PeriodicalIF":1.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9984587","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}