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.
217
datasets available to search
ShareScore release 0.9.0
Dataset results
217 results for “image contrast”
Efficacy of Non Contrast DWI(Diffusion Weighted Imaging) Imaging Compared to DMR-DE
ClinicalTrials.gov study NCT01820000. IPD Sharing: NO. Countries: 1. Publications: 0.
Magnetic Resonance Imaging (MRI) Using Liverspecific Oral Contrast Agent in Metastatic Colorectal Cancer Patients
ClinicalTrials.gov study NCT00718055. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Gadolinium Based Contrast Agents for Portable MR Imaging Systems
ClinicalTrials.gov study NCT07296263. IPD Sharing: NO. Countries: 1. Publications: 0.
Quantitative Methods for Supplementing Contrast-Enhanced Magnetic Resonance Imaging of Breast Cancer
ClinicalTrials.gov study NCT02058758. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Quantitative Perfusion Imaging Using Contrast Enhanced Perfusion Ultrasound, MRI and Perfusion Angiography
ClinicalTrials.gov study NCT06103708. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Pulmonary nodule detection in patients with a primary malignancy using hybrid PET/MRI: is there value in adding contrast-enhanced MR imaging?
Open the record for dataset details and reuse information.
Data from: In-vivo imaging of cell migration using contrast enhanced MRI and SVM based post-processing
Open the record for dataset details and reuse information.
Evaluation for Benign and Malignant Pulmonary Ground-glass Nodules Based on MRI Dynamic Contrast Enhanced Imaging
ClinicalTrials.gov study NCT05067023. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Post Occlusive Reactive Hyperemia on Gingiva Assessed by Laser Speckle Contrast Imaging
ClinicalTrials.gov study NCT02552498. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparing Breast Magnetic Resonance Imaging (MRI) and Contrast-enhanced Mammography (CEM)
ClinicalTrials.gov study NCT06008301. IPD Sharing: NO. Countries: 0. Publications: 0.
Glioblastoma Imaging Using a Strong Iron-like Bloodpool Contrast Medium?
ClinicalTrials.gov study NCT05656300. IPD Sharing: NO. Countries: 0. Publications: 0.
Optimisation and Quantification of Contrast Enhanced Computed Tomography Myocardial Fibrosis Imaging
ClinicalTrials.gov study NCT02364687. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Radiomic fEatures of Pancreas From Contrast Enhanced CT Image Predict One-Year RecUrrence Risk of Acute PancReatitis
ClinicalTrials.gov study NCT05778929. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Evaluating the Use of Magnetic Resonance Imaging and Contrast Enhanced Mammography After MagTrace® Use
ClinicalTrials.gov study NCT05637528. IPD Sharing: NO. Countries: 0. Publications: 0.
Dataset related to article "Contrast imaging techniques to diagnose hepatocellular carcinoma in cirrhotics outside regular surveillance."
<p>I</p> <p>NTRODUCTION AND AIM:</p> <p>The American Association for the Study of the Liver (AASLD) recommends contrast computerized tomography (CT-scan) and magnetic resonance (MRI) to diagnose hepatocellular carcinoma (HCC) arising in cirrhotic patients under semiannual surveillance with abdominal ultrasound (US). A US guided fine needle biopsy (FNB) serves the same purpose in radiologically undiagnosed tumors and incidentally detected nodules in cirrhotics outside surveillance. In this population, we evaluated the performance of radiological diagnosis of HCC according to 2010 AASLD recommendations.</p> <p>MATERIALS AND METHODS:</p> <p>All cirrhotic patients with a liver nodule incidentally detected by US were prospectively investigated with a sequential application of CT-scan/MRI examination and a FNB.</p> <p>RESULTS:</p> <p>Between 2011 and 2015, 94 patients (mean age 67 years) had a liver nodule (total 120) detected by US in the context of histologically confirmed cirrhosis. Mean nodules diameter was 40 (10-160) mm, 87 (73%) <5cm. At histology, 84 (70%) nodules were HCC, 8 (7%) intrahepatic cholangiocarcinoma, 6 (5%) metastases, 2 (2%) neuroendocrine tumors and 20 (16%) benign lesions. Hyperenhancement in arterial phase followed by wash-out in venous phases on at least one radiological technique was demonstrated in 62 nodules (61 HCC, 1 high grade dysplastic nodule), with a specificity of 97% (IC95%: 85-100%), sensitivity 73% (IC95%: 62-81%) and diagnostic accuracy 80%, being 64% for ≥5cm HCC. Sensitivity of AFP >200ng/mL was 12% (IC95%: 6-23%).</p> <p>CONCLUSION:</p> <p>A single contrast imaging technique showing a typical contrast pattern confidently identifies HCC also in cirrhotic patients with an incidental liver nodule, thereby reducing the need for FNB examinations.</p>
Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging
<p>Secchi F, Monti CB, Capra D, Vitale R, Mazzaccaro D, Conti M, Jin N, Giese D, Nano G, Sardanelli F, Marrocco-Trischitta MM. Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging. Tomography. 2021 Sep 28;7(4):513-522. doi: 10.3390/tomography7040044. PMID: 34698250; PMCID: PMC8544659.</p> <p>Abstract</p> <p>The purpose of this study was to evaluate the level of agreement between flow/velocity data obtained from 2D-phase-contrast (PC) and 4D-flow in patients scheduled for treatment of carotid artery stenosis. Image acquisition was performed using a 1.5 T scanner. We compared mean flow rates, vessel areas, and peak velocities obtained during the acquisition with both techniques in 20 consecutive patients, 15 males and 5 females aged 69 ± 5 years (mean ± standard deviation). There was a good correlation between both techniques for the CCA flow (<em>r</em> = 0.65, <em>p</em> < 0.001), whereas for the ICA flow and ECA flow the correlation was only moderate (<em>r</em> = 0.4, <em>p</em> = 0.011 and <em>r</em> = 0.45, <em>p</em> = 0.003, respectively). Correlations of peak velocities between methods were good for CCA (<em>r</em> = 0.56, <em>p</em> < 0.001) and moderate for ECA (<em>r</em> = 0.41, <em>p</em> = 0.008). There was no correlation for ICA (<em>r</em> = 0.04, <em>p</em> = 0.805). Cross-sectional area values between methods showed no significant correlations for CCA (<em>r</em> = 0.18, <em>p</em> = 0.269), ICA (<em>r</em> = 0.1, <em>p</em> = 0.543), and ECA (<em>r</em> = 0.05, <em>p</em> = 0.767). Conclusion: the 4D-flow imaging provided a good correlation of CCA and a moderate correlation of ICA flow rates against 2D-PC, underestimating peak velocities and overestimating cross-sectional areas in all carotid segments.</p>
Dataset related to the article "A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images"
<p>This record contains raw data related to the article "A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images"</p> <p><strong>Aims:</strong> Diagnosis of myocardial fibrosis is commonly performed with late gadolinium contrast-enhanced (CE) cardiac magnetic resonance (CMR), which might be contraindicated or unavailable. Coronary computed tomography (CCT) is emerging as an alternative to CMR. We sought to evaluate whether a deep learning (DL) model could allow identification of myocardial fibrosis from routine early CE-CCT images.</p> <p><strong>Methods and results:</strong> Fifty consecutive patients with known left ventricular (LV) dysfunction (LVD) underwent both CE-CMR and (early and late) CE-CCT. According to the CE-CMR patterns, patients were classified as ischemic (<em>n</em> =&thinsp;15, 30%) or non-ischemic (<em>n</em> =&thinsp;35, 70%) LVD. Delayed enhancement regions were manually traced on late CE-CCT using CE-CMR as reference. On early CE-CCT images, the myocardial sectors were extracted according to AHA 16-segment model and labeled as with scar or not, based on the late CE-CCT manual tracing. A DL model was developed to classify each segment. A total of 44,187 LV segments were analyzed, resulting in accuracy of 71% and area under the ROC curve of 76% (95% CI: 72%−81%), while, with the bull’s eye segmental comparison of CE-CMR and respective early CE-CCT findings, an 89% agreement was achieved.</p> <p><strong>Conclusions:</strong> DL on early CE-CCT acquisition may allow detection of LV sectors affected with myocardial fibrosis, thus without additional contrast-agent administration or radiational dose. Such tool might reduce the user interaction and visual inspection with benefit in both efforts and time.</p>
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.