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Dataset results
89 results for “ischemic cardiomyopathy”
Biomechanical basis of intramyocardial hydrogel injection treatment for ischemic cardiomyopathy [snRNA-seq]
GEO Series GSE253767. Rattus norvegicus. 8 samples. Type: Expression profiling by high throughput sequencing.
Biomechanical basis of intramyocardial hydrogel injection treatment for ischemic cardiomyopathy [bulk RNA-seq]
GEO Series GSE253763. Rattus norvegicus. 16 samples. Type: Expression profiling by high throughput sequencing.
Isoform-specific regulation of NCAM1 gene expression in ischemic cardiomyopathy
GEO Series GSE34124. Mus musculus. 4 samples. Type: Expression profiling by array.
Data set from Fantini F, Toso A, Menicanti L, Moroni F, Castelvecchio S. Restrictive filling pattern in ischemic cardiomyopathy: Insights after surgical ventricular restoration. J Thorac Cardiovasc Surg. 2019 Oct 30:S0022-5223(19)32349-9. doi: 10.1016/j.jtcvs.2019.09.173. Epub ahead of print. PMID: 31767363.
<p>Data set from Fantini F, Toso A, Menicanti L, Moroni F, Castelvecchio S. Restrictive filling pattern in ischemic cardiomyopathy: Insights after surgical ventricular restoration. J Thorac Cardiovasc Surg. 2019 Oct 30:S0022-5223(19)32349-9. doi: 10.1016/j.jtcvs.2019.09.173. Epub ahead of print. PMID: 31767363.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Objective: </strong>To examine factors possibly involved in the resolution or persistence of restrictive filling pattern (RFP) after surgical ventricular restoration (SVR) in a series of patients with ischemic cardiomyopathy (ICM) and RFP.</p> <p><strong>Methods: </strong>Echocardiography was performed at baseline (pre-SVR), discharge, and follow-up in 43 patients with ICM and RFP (E/A ratio ≥2). Patients were divided into 2 groups based on E/A ratio at discharge: improved (E/A ratio <2; 22 patients) and unchanged (E/A ratio ≥2; 21 patients).</p> <p><strong>Results: </strong>The improved group had a significantly increased mean deceleration time (from 137 ± 22 ms to 194 ± 68 ms; P = .002) and mean A wave velocity (from 43 ± 10 cm/s to 92 ± 37 cm/s; P = .001), and decreased E/e' ratio (from 27.7 ± 9.5 to 19.2 ± 7.8; P = .01) after SVR. The unchanged group did not show any significant variations in diastolic parameters. The only significant differences at baseline between the two groups were thinner left ventricle posterior wall and lower relative wall thickness (RWT) in the unchanged group. RWT was the sole baseline parameter independently associated with persistent RFP.</p> <p><strong>Conclusions: </strong>RFP was reversed after SVR in 22 of our 43 patients with ICM with a response that remained stable over time, associated with improved New York Heart Association class. RWT was the sole baseline echocardiographic parameter significantly associated with the evolution of RFP after</p>
Restrictive filling pattern in ischemic cardiomyopathy: Insights after surgical ventricular restoration
<p>Dataset from Fantini F, Toso A, Menicanti L, Moroni F, Castelvecchio S. Restrictive filling pattern in ischemic cardiomyopathy: Insights after surgical ventricular restoration. J Thorac Cardiovasc Surg. 2021 Feb;161(2):651-660. doi: 10.1016/j.jtcvs.2019.09.173. Epub 2019 Oct 30. PMID: 31767363.</p> <p>Abstract</p> <p><strong>Objective: </strong>To examine factors possibly involved in the resolution or persistence of restrictive filling pattern (RFP) after surgical ventricular restoration (SVR) in a series of patients with ischemic cardiomyopathy (ICM) and RFP.</p> <p><strong>Methods: </strong>Echocardiography was performed at baseline (pre-SVR), discharge, and follow-up in 43 patients with ICM and RFP (E/A ratio ≥2). Patients were divided into 2 groups based on E/A ratio at discharge: improved (E/A ratio <2; 22 patients) and unchanged (E/A ratio ≥2; 21 patients).</p> <p><strong>Results: </strong>The improved group had a significantly increased mean deceleration time (from 137 ± 22 ms to 194 ± 68 ms; P = .002) and mean A wave velocity (from 43 ± 10 cm/s to 92 ± 37 cm/s; P = .001), and decreased E/e' ratio (from 27.7 ± 9.5 to 19.2 ± 7.8; P = .01) after SVR. The unchanged group did not show any significant variations in diastolic parameters. The only significant differences at baseline between the two groups were thinner left ventricle posterior wall and lower relative wall thickness (RWT) in the unchanged group. RWT was the sole baseline parameter independently associated with persistent RFP.</p> <p><strong>Conclusions: </strong>RFP was reversed after SVR in 22 of our 43 patients with ICM with a response that remained stable over time, associated with improved New York Heart Association class. RWT was the sole baseline echocardiographic parameter significantly associated with the evolution of RFP after SVR.</p>
Dataset related to the article "Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm"
<p>This record contains raw data related to the article “Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm”</p> <p>Abstract</p> <p><strong>Background: </strong>Despite the low spatial resolution of 2D-multisegment late gadolinium enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of standard 2D single segmented inversion recovery gradient echo late gadolinium enhancement sequences (2D-SSLGE). The aim of the study is to assess the feasibility and comparison of 2D-MSLGE reconstructed with artificial intelligence reconstruction deep learning noise reduction (NR) algorithm compared to standard 2D-SSLGE in consecutive patients with ischemic cardiomyopathy (ICM).</p> <p><strong>Methods: </strong>Fifty-seven patients with known ICM referred for a clinically indicated CMR were enrolled in this study. 2D-MSLGE were reconstructed using a growing level of NR (0%,25%,50%,75%and 100%). Subjective image quality, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were evaluated in each dataset and compared to standard 2D-SSLGE. Moreover, diagnostic accuracy, LGE mass and scan time were compared between 2D-MSLGE with NR and 2D-SSLGE.</p> <p><strong>Results: </strong>The application of NR reconstruction ≥50% to 2D-MSLGE provided better subjective image quality, CNR and SNR compared to 2D-SSLGE (p < 0.01). The best compromise in terms of subjective and objective image quality was observed for values of 2D-MSLGE 75%, while no differences were found in terms of LGE quantification between 2D-MSLGE versus 2D-SSLGE, regardless the NR applied. The sensitivity, specificity, negative predictive value, positive predictive value and accuracy of 2D-MSLGE NR 75% were 87.77%,96.27%,96.13%,88.16% and 94.22%, respectively. Time of acquisition of 2D-MSLGE was significantly shorter compared to 2D-SSLGE (p < 0.01).</p> <p><strong>Conclusion: </strong>When compared to standard 2D-SSLGE, the application of NR reconstruction to 2D-MSLGE provides superior image quality with similar diagnostic accuracy.</p>
Comparison of Four-Dimensional Magnetic Resonance Imaging Analysis of Left Ventricular Fluid Dynamics and Energetics in Ischemic and Restrictive Cardiomyopathies.
<p>Riva A, Sturla F, Pica S, Camporeale A, Tondi L, Saitta S, Caimi A, Giese D, Palladini G, Milani P, Castelvecchio S, Menicanti L, Redaelli A, Lombardi M, Votta E. Comparison of Four-Dimensional Magnetic Resonance Imaging Analysis of Left Ventricular Fluid Dynamics and Energetics in Ischemic and Restrictive Cardiomyopathies. J Magn Reson Imaging. 2022 Oct;56(4):1157-1170. doi: 10.1002/jmri.28076. Epub 2022 Jan 24. PMID: 35075711; PMCID: PMC9541919.</p> <p>Abstract</p> <p><strong>Background: </strong>Time-resolved three-directional velocity-encoded (4D flow) magnetic resonance imaging (MRI) enables the quantification of left ventricular (LV) intracavitary fluid dynamics and energetics, providing mechanistic insight into LV dysfunctions. Before becoming a support to diagnosis and patient stratification, this analysis should prove capable of discriminating between clearly different LV derangements.</p> <p><strong>Purpose: </strong>To investigate the potential of 4D flow in identifying fluid dynamic and energetics derangements in ischemic and restrictive LV cardiomyopathies.</p> <p><strong>Study type: </strong>Prospective observational study.</p> <p><strong>Population: </strong>Ten patients with post-ischemic cardiomyopathy (ICM), 10 patients with cardiac light-chain cardiac amyloidosis (AL-CA), and 10 healthy controls were included.</p> <p><strong>Field strength/sequence: </strong>1.5 T/balanced steady-state free precession cine and 4D flow sequences.</p> <p><strong>Assessment: </strong>Flow was divided into four components: direct flow (DF), retained inflow, delayed ejection flow, and residual volume (RV). Demographics, LV morphology, flow components, global and regional energetics (volume-normalized kinetic energy [KE<sub>V</sub> ] and viscous energy loss [EL<sub>V</sub> ]), and pressure-derived hemodynamic force (HDF) were compared between the three groups.</p> <p><strong>Statistical tests: </strong>Intergroup differences in flow components were tested by one-way analysis of variance (ANOVA); differences in energetic variables and peak HDF were tested by two-way ANOVA. A P-value of <0.05 was considered significant.</p> <p><strong>Results: </strong>ICM patients exhibited the following statistically significant alterations vs. controls: reduced KE<sub>V</sub> , mostly in the basal region, in systole (-44%) and in diastole (-37%); altered flow components, with reduced DF (-33%) and increased RV (+26%); and reduced basal-apical HDF component on average by 63% at peak systole. AL-CA patients exhibited the following alterations vs. controls: significantly reduced KE<sub>V</sub> at the E-wave peak in the basal segment (-34%); albeit nonstatistically significant, increased peaks and altered time-course of the HDF basal-apical component in diastole and slightly reduced HDF components in systole.</p> <p><strong>Data conclusion: </strong>The analysis of multiple 4D flow-derived parameters highlighted fluid dynamic alterations associated with systolic and diastolic dysfunctions in ICM and AL-CA patients, respectively.</p>
Dataset related to the article "Cardiac Magnetic Resonance for Prophylactic Implantable-Cardioverter Defibrillator Therapy in Ischemic Cardiomyopathy The DERIVATE–ICM International Registry"
<p>This record contains raw data related to the article “Cardiac Magnetic Resonance for Prophylactic Implantable-Cardioverter Defibrillator Therapy in Ischemic Cardiomyopathy The DERIVATE–ICM International Registry”</p> <p><strong>BACKGROUND</strong> Implantable cardioverter-defibrillator (ICD) therapy is the most effective prophylactic strategy against sudden cardiac death (SCD) in patients with ischemic cardiomyopathy (ICM) and left ventricle ejection fraction (LVEF) #35% as detected by transthoracic echocardiograpgy (TTE). This approach has been recently questioned because of the low rate of ICD interventions in patients who received implantation and the not-negligible percentage of patients who experienced SCD despite not fulfilling criteria for implantation.</p> <p><strong>OBJECTIVES</strong> The DERIVATE (CarDiac MagnEtic Resonance for Primary Prevention Implantable CardioVerter DebrillAtor ThErapy)-ICM registry (NCT03352648) is an international, multicenter, and multivendor study to assess the net reclassification improvement (NRI) for the indication of ICD implantation by the use of cardiac magnetic resonance (CMR) as compared to TTE in patients with ICM.</p> <p><strong>METHODS</strong> A total of 861 patients with ICM (mean age 65 [1] 11 years, 86% male) with chronic heart failure and TTE-LVEF <50% participated. Major adverse arrhythmic cardiac events (MAACE) were the primary endpoints. RESULTS During a median follow-up of 1,054 days, MAACE occurred in 88 (10.2%). Left ventricular end-diastolic volume index (HR: 1.007 [95% CI: 1.000-1.011]; P ¼ 0.05), CMR-LVEF (HR: 0.972 [95% CI: 0.945-0.999]; P ¼ 0.045) and late gadolinium enhancement (LGE) mass (HR: 1.010 [95% CI: 1.002-1.018]; P ¼ 0.015) were independent predictors of MAACE. A multiparametric CMR weighted predictive derived score identifies subjects at high risk for MAACE compared with TTE-LVEF cutoff of 35% with a NRI of 31.7% (P ¼ 0.007).</p> <p><strong>CONCLUSIONS</strong> The DERIVATE-ICM registry is a large multicenter registry showing the additional value of CMR to stratify the risk for MAACE in a large cohort of patients with ICM compared with standard of care.</p>
Molecular, cellular and tissue markers of adverse outcomes in surgical treatment of patients with ischemic cardiomyopathy
<p>Информация о молекулярных, клеточных и тканевых маркерах для прогнозирования неблагоприятных исходов хирургического лечения ишемической кардиомиопатии на основе оценки цитокинпродуцирующей активности миокарда, клеточного состава и структуры его внеклеточного матрикса при различных исходах хирургического лечения ишемической кардиомиопатии.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.