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18
datasets available to search
ShareScore release 0.9.0
Dataset results
18 results for “quantitative CT”
Quantitative Measurement of Myocardial Perfusion by Cardiac CT in Patients
ClinicalTrials.gov study NCT02361996. IPD Sharing: YES. Countries: 3. Publications: 2.
The Role of Quantitative CT and Radiomic Biomarkers for Precision Medicine in Pulmonary Fibrosis
ClinicalTrials.gov study NCT06323876. IPD Sharing: NO. Countries: 1. Publications: 10.
Quantitative 3-Dimensional Chest CT Vascular Reconstruction Before and After Anticoagulation for Pulmonary Embolism
ClinicalTrials.gov study NCT04113421. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Whole-organism 3D quantitative characterization of zebrafish melanin by silver deposition micro-CT
Open the record for dataset details and reuse information.
PRospective Evaluation of Interstitial Lung DIsease Progression With Quantitative CT
ClinicalTrials.gov study NCT05609201. IPD Sharing: YES. Countries: 1. Publications: 0.
Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool
<p>We uploaded the database of the patients entrolled in the manuscript: Grassi, Roberto, Salvatore Cappabianca, Fabrizio Urraro, Vincenza Granata, Giuliana Giacobbe, Simona Magliocchetti, Diletta Cozzi, Roberta Fusco, Roberta Galdiero, Carmine Picone, Maria P. Belfiore, Alfonso Reginelli, Umberto Atripaldi, Ornella Picascia, Michele Coppola, Elio Bignardi, Roberta Grassi, and Vittorio Miele. 2021. "Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool" <em>Journal of Personalized Medicine</em> 11, no. 7: 641. https://doi.org/10.3390/jpm11070641</p>
Validation of Quantitative Myocardial Tissue Characterization Through Non-gated CT
ClinicalTrials.gov study NCT04880317. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Quantitative Diagnosis of Fatty Liver by Dual Energy CT Technique
ClinicalTrials.gov study NCT00172705. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CT Quantitative Assessment of Interstitial Lung Disease
ClinicalTrials.gov study NCT05947422. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
ClinicalTrials.gov study NCT06616103. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Tumoral Bone Strength Assessment by Numerical Simulation Using Quantitative CT : the MEKANOS Study
ClinicalTrials.gov study NCT04170634. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prognostic Value of SPECT-CT Quantitative Indices for the Response Assessment of Bone Metastatic Prostate Carcinoma
ClinicalTrials.gov study NCT03382522. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Quantitative Analysis of Functional CT Imaging of Coronary Atherosclerosis
ClinicalTrials.gov study NCT04986410. IPD Sharing: NO. Countries: 1. Publications: 0.
Defining a Vascular Phenotype of Pancreatic Ductal Adenocarcinoma With CT Perfusion Using Quantitative Radiomics
ClinicalTrials.gov study NCT05669287. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Role of Quantitative Measures on Dual-energy CT in the Prediction of Colorectal Adenocarcinoma
ClinicalTrials.gov study NCT04430127. IPD Sharing: NO. Countries: 1. Publications: 0.
Low Dose Lung CT Scan for Quantitative Analysis in ARDS Patients
ClinicalTrials.gov study NCT01926093. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dedicated Breast CT for Quantitative Breast Density Measurements in Mexican-origin Women in Southern Arizona
ClinicalTrials.gov study NCT04799665. IPD Sharing: NO. Countries: 1. Publications: 0.
Dataset related to article "Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study"
<p>This record contains raw data related to article “ Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study"</p> <p>Background: Quantitative CT analysis (QCT) has demonstrated promising results in the prognosis prediction of patients affected by COVID-19. We implemented QCT not only at diagnosis but also at short-term follow-up, pairing it with a clinical examination in search of a correlation between residual respiratory symptoms and abnormal QCT results. (2) Methods: In this prospective monocentric trial performed during the "first wave" of the Italian pandemic, i.e., from March to May 2020, we aimed to test the relationship between %deltaCL (variation of %CL-compromised lung volume) and variations of symptoms-dyspnea, cough and chest pain-at follow-up clinical assessment after hospitalization. (3) Results: 282 patients (95 females, 34%) with a median age of 60 years (IQR, 51-69) were included. We reported a correlation between changing lung abnormalities measured by QCT, and residual symptoms at short-term follow up after COVID-19 pneumonia. Independently from age, a low percentage of surviving patients (1-4%) may present residual respiratory symptoms at approximately two months after discharge. QCT was able to quantify the extent of residual lung damage underlying such symptoms, as the reduction of both %PAL (poorly aerated lung) and %CL volumes was correlated to their disappearance. (4) Conclusions QCT may be used as an objective metric for the measurement of COVID-19 sequelae.</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)
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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.