Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
261
datasets available to search
ShareScore release 0.9.0
Dataset results
261 results for “CRT”
CRT-EPiggy19 challenge
<p><em><strong>OBJECTIVE OF THE CHALLENGE</strong></em></p> <p>The spirit of CRT-EPiggy19 is to <strong>collectively review the current state-of-the-art for computational cardiology models and their ability to predict pacing-based therapy outcomes</strong>, as well as the <strong>identification of the most critical phases and more promising solutions in the personalization modelling pipeline</strong>.</p> <p>More specifically, participants will be asked to <strong>predict the electrical response of CRT</strong> and to <strong>propose the optimal device configuration</strong> in a swine model of left bundle branch block, given fully controlled data. All challenge participants will be invited to contribute to the preparation of a journal article summarizing the main findings from the CRT-EPiggy19 challenge, similarly to the CESC’10 challenge (<a href="https://www.sciencedirect.com/science/article/pii/S0079610711000708">Camara et al., Prog Biophys Mol Bio 2011</a>).</p> <p><em><strong>TRAINING/TEST DATASETS</strong></em></p> <p>Some years ago, researchers at Hospital Clínic de Barcelona and Universitat Pompeu Fabra developed a swine model of left bundle branch block (LBBB) for experimental studies of CRT (<a href="https://link.springer.com/article/10.1007%2Fs12265-013-9464-1">Rigol et al., J Cardiovasc Transl Res 2013</a>). Radiofrequency applications were performed to induce LBBB, and half of the animals presented a myocardial infarction located at the septal wall. Imaging data and electro-anatomical maps (EAM) were acquired at baseline, with the induced LBBB and after implantation of a CRT devicE. This rich data is well suited for evaluating some features of the different cardiac computational models available nowadays, and will be the basis of the CRT-EPiggy19 challenge. The training data will include two complete infarcted and two non-infarcted datasets (total of 4 cases), while the test data is composed of four cases for each of the two categories (infarcted vs non-infarcted; total of 8 cases). The electrical activation patterns of the training datasets have already been described with detail in <a href="https://ieeexplore.ieee.org/document/7786893">Soto-Iglesias et al. (IEEE J Transl Eng Health Med 2016)</a>. Check the Datasets section for a preview of the training data and the procedure to download it. Unlike LBBB and CRT activation maps, baseline maps will not initially be released, since they do not necessarily contribute to the prediction of CRT from LBBB.</p> <p>Some of the main sources of variability in the personalization of cardiac models involve the extraction of anatomical data from medical images and the creation of the geometrical domain where models are run. In order to reduce this variability in the CRT-EPiggy19 challenge, biventricular finite element meshes will be provided to each participant, which were built from the segmentation of cine-MRI data. These meshes will include cardiomyocyte orientation (obtained with rule-based models; see <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/cnm.3185">Doste et al. Int J Numer Meth Bio 2019</a> for details), several regional labels (AHA regions, endo- and epi-cardial walls, different ventricles) and the local activation times projected from EAM data. Additionally, the affected AHA segments and its transmurality will be given for infarcted cases. Furthermore, for visualization and analysis purposes, 2D bi-ventricular representations will be given.</p> <p><em><strong>EVALUATION METRICS</strong></em></p> <p>Global and regional differences between simulated and measured CRT activation maps will be used to evaluate the prediction accuracy of each proposed model. As global metric, we will use the <strong>difference in Total Activation Time</strong> (TAT, whole heart fully activated). The TAT will also individually be assessed for the LV, the RV, as well as for each AHA segment. TAT differences will be separately analysed between simulations and measurements for infarcted vs. non-infarcted cases. <strong>Histograms of isochrones of electrical activation</strong> will be derived from simulations to estimate <strong>inter- and intra-ventricular electrical dyssynchrony</strong> (<a href="https://ieeexplore.ieee.org/document/7786893">Soto-Iglesias et al., IEEE J Transl Eng Health Med 2016</a>). Each participant will be asked to report the <strong>used hardware infrastructure, computational times and details about the implementation</strong> and a <strong>self-reported analysis for model integration onto a clinical workflow</strong>.</p> <p><em><strong>CONTACT</strong></em></p> <p>You are welcome to contact Oscar Camara should you have any questions at: oscar.camara@upf.edu. More details on the CRT-EPiggy19 challenge can be found in the following website: <a href="http://crt-epiggy19.surge.sh/">crt-epiggy19.surge.sh</a>.</p> <p><em><strong>LICENSE</strong></em></p> <p>All data at the CRT-EPiggy19 challenge are released under Creative Commons (CC) licenses. </p> <p><em><strong>CITATION</strong></em></p> <p>If you use the CRT-EPiggy19 challenge dataset or part of it, please cite the following paper: <a href="https://link.springer.com/article/10.1007%2Fs12265-013-9464-1">Rigol et al., J Cardiovasc Transl Res 2013</a>.</p> <p>Rigol M, Solanes N, Fernandez-Armenta J, Silva E, Doltra A, Duchateau N, Barcelo A, Gabrielli L, Bijnens B, Berruezo A, Brugada J, Sitges M. Development of a swine model of left bundle branch block for experimental studies of cardiac resynchronization therapy. J Cardiovasc Transl Res. 2013 Aug;6(4):616-22. doi: 10.1007/s12265-013-9464-1.</p> <p>You may also consider citing the paper, which describes the electrophysiological patterns of the training data: <a href="https://ieeexplore.ieee.org/document/7786893">Soto-Iglesias et al., IEEE J Transl Eng Health Med 2016</a></p> <p>Soto Iglesias D, Duchateau N, Kostantyn Butakov CB, Andreu D, Fernandez-Armenta J, Bijnens B, Berruezo A, Sitges M, Camara O. Quantitative Analysis of Electro-Anatomical Maps: Application to an Experimental Model of Left Bundle Branch Block/Cardiac Resynchronization Therapy. IEEE J Transl Eng Health Med. 2016 Dec 16;5:1900215. doi: 10.1109/JTEHM.2016.2634006.</p> <p><em><strong>ACKNOWLEDGMENTS</strong></em></p> <p>This work was supported in part by the Spanish Ministry of Science and Innovation (TIN2011-28067, REDINSCOR RD06/003/008), the Spanish Industrial and Technological Development Center (cvREMOD-CEN-20091044), the Seventh Framework Programme (FP7/2007-2013) for research, technological and demonstration under grant agreement VP2HF (no. 611823), and the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).</p>
Safety and Clinical Performance of the Protecta ICD and CRT-D
ClinicalTrials.gov study NCT00982397. IPD Sharing: NO. Countries: 21. Publications: 6.
ConsultaTM CRT-D Clinical Evaluation Study
ClinicalTrials.gov study NCT00526162. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ADVANCE CRT - D: Antitachycardia Pacing (ATP) Delivery for Painless Implantable Cardioverter Defibrillator (ICD) Therapy
ClinicalTrials.gov study NCT00147290. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Study To Compare Avelumab In Combination With Standard of Care Chemoradiotherapy (SoC CRT) Versus SoC CRT for Definitive Treatment In Patients With Locally Advanced Squamous Cell Carcinoma Of The Head
ClinicalTrials.gov study NCT02952586. IPD Sharing: YES. Countries: 22. Publications: 1.
PEGASUS CRT Study: Atrial Support Study in Cardiac Resynchronization Therapy
ClinicalTrials.gov study NCT00146848. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Junctional AV Ablation in CRT-D: JAVA-CRT
ClinicalTrials.gov study NCT02946853. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparing Rate Response With CLS Versus Accelerometer ICD Settings in Heart Failure Patients With BIOTRONIK CRT-Ds
ClinicalTrials.gov study NCT02693262. IPD Sharing: NO. Countries: 1. Publications: 8.
Testing the Addition of a New Immunotherapy Drug, Atezolizumab (MPDL3280A), to the Usual Chemoradiation (CRT) Therapy Treatment for Limited Stage Small Cell Lung Cancer (LS-SCLC)
ClinicalTrials.gov study NCT03811002. IPD Sharing: YES. Countries: 2. Publications: 2.
Preoperative CRT With Temozolomide Plus Capecitabine in Rectal Cancer
ClinicalTrials.gov study NCT01781403. IPD Sharing: NO. Countries: 1. Publications: 1.
MADIT-CRT: Multicenter Automatic Defibrillator Implantation With Cardiac Resynchronization Therapy
ClinicalTrials.gov study NCT00180271. IPD Sharing: Not stated. Countries: 1. Publications: 58.
ECG Belt for CRT Response
ClinicalTrials.gov study NCT03504020. IPD Sharing: NO. Countries: 7. Publications: 2.
TYRX™ Envelope for Prevention of Infection Following Replacement With a CRT or ICD
ClinicalTrials.gov study NCT01043705. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Comparison of AV Optimization Methods Used in Cardiac Resynchronization Therapy (CRT)
ClinicalTrials.gov study NCT00677014. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Dual-Site LV Pacing in CRT Non Responders: Multicenter Randomized Trial
ClinicalTrials.gov study NCT01059175. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Left Ventricular Synchronous Versus Sequential MultiSpot Pacing for Cardiac Resynchronization Therapy (CRT)
ClinicalTrials.gov study NCT02914457. IPD Sharing: UNDECIDED. Countries: 5. Publications: 1.
Shifting Perspectives: Enhancing Outcomes in Anorexia Nervosa With CRT
ClinicalTrials.gov study NCT03928028. IPD Sharing: NO. Countries: 1. Publications: 9.
Adaptive CRT Effect on Electrical Dyssynchrony
ClinicalTrials.gov study NCT02543281. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pembrolizumab in Combination With CRT for LA-SCCHN
ClinicalTrials.gov study NCT02586207. IPD Sharing: YES. Countries: 1. Publications: 6.
'Effect of CRT on Defibrillation Threshold Estimates' Study
ClinicalTrials.gov study NCT00626093. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.