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3,036
datasets available to search
ShareScore release 0.9.0
Dataset results
3,036 results for “ct”
The Value of CT Cholangiography in Primary Sclerosing Cholangitis
ClinicalTrials.gov study NCT00588458. IPD Sharing: Not stated. Countries: 0. Publications: 0.
CT-FFR-guided Strategy for In-stent Restenosis
ClinicalTrials.gov study NCT05611190. IPD Sharing: NO. Countries: 0. Publications: 0.
Comparison of Coronary CT With IVUS in Heart Transplant Population
ClinicalTrials.gov study NCT00589524. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Prospective Evaluation of Computerized Tomographic(CT) Scanning as a Screening Modality for Esophageal Varices
ClinicalTrials.gov study NCT00587197. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Cardiac CT Angiography in Patients With Acute Ischemic Stroke
ClinicalTrials.gov study NCT06176872. IPD Sharing: NO. Countries: 0. Publications: 0.
Morphological and Biomechanical Analysis of Knee Four Dimensional CT (4DCT) in Femoropatellar Instability
ClinicalTrials.gov study NCT03535389. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Automatic Diagnosis of Spinal Stenosis on CT
ClinicalTrials.gov study NCT03746561. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Leidos-Enabled Adaptive Protocol for Clinical Trials (LEAP-CT) in Hospitalized Patients With COVID-19 (Addendum 1)
ClinicalTrials.gov study NCT05085574. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
NEXUS Head CT
Open the record for dataset details and reuse information.
CT Irradiation Induced Changes of Gene Expression within Peripheral Blood Cells
GEO Series GSE136310. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
profiling of hypothalamus from mice s.c. injected with CT-26wt colon carcinoma cells vs. PBS
GEO Series GSE7294. Mus musculus. 25 samples. Type: Expression profiling by array.
Application of a classifier combining bronchial genomics and chest CT features facilitates the diagnostic evaluation of lung cancer in smokers and non-smokers
GEO Series GSE166926. Bronchus. 283 samples. Type: Expression profiling by high throughput sequencing.
profiling of midbrain from mice s.c. injected with CT-26wt colon carcinoma cells vs. PBS
GEO Series GSE7297. Mus musculus. 28 samples. Type: Expression profiling by array.
profiling of prefrontal cortex from mice s.c. injected with CT-26wt colon carcinoma cells vs. PBS
GEO Series GSE7287. Mus musculus. 23 samples. Type: Expression profiling by array.
Pediatric-CT-SEG
This dataset was collected by a collaboration of researchers from Children's Wisconsin, Marquette University, Varian Medical Systems, Medical College of Wisconsin, and Stanford University as part of a project funded by the National Institute of Biomedical Imaging and Bioengineering (U01EB023822) to develop tools for rapid, patient-specific CT organ dose estimation. The collection consists of CT images in DICOM format of 359 pediatric chest-abdomen-pelvis or abdomen-pelvis exams acquired from three CT scanners. The datasets represent random pediatric cases based upon routine clinical indications. Each dataset contains expert contours of up to twenty-nine structures in DICOM RTSS format.
Pediatric Chest/Abdomen/Pelvic CT Exams with Expert Organ Contours (Pediatric-CT-SEG)
This dataset was collected by a collaboration of researchers from Children's Wisconsin, Marquette University, Varian Medical Systems, Medical College of Wisconsin, and Stanford University as part of a project funded by the National Institute of Biomedical Imaging and Bioengineering (U01EB023822) to develop tools for rapid, patient-specific CT organ dose estimation.
Dataset related to article "Computed tomography (CT)-derived radiomic features differentiate prevascular mediastinum masses as thymic neoplasms versus lymphomas"
<p>This record contains raw data related to article "Computed tomography (CT)-derived radiomic features differentiate prevascular mediastinum masses as thymic neoplasms versus lymphomas"</p> <p><strong>Objectives: </strong>We aimed to assess the ability of radiomics, applied to not-enhanced computed tomography (CT), to differentiate mediastinal masses as thymic neoplasms vs lymphomas.</p> <p><strong>Methods: </strong>The present study was an observational retrospective trial. Inclusion criteria were pathology-proven thymic neoplasia or lymphoma with mediastinal localization, availability of CT. Exclusion criteria were age < 16 years and mediastinal lymphoma lesion < 4 cm. We selected 108 patients (M:F = 47:61, median age 48 years, range 17-79) and divided them into a training and a validation group. Radiomic features were used as predictors in linear discriminant analysis. We built different radiomic models considering segmentation software and resampling setting. Clinical variables were used as predictors to build a clinical model. Scoring metrics included sensitivity, specificity, accuracy and area under the curve (AUC). Wilcoxon paired test was used to compare the AUCs.</p> <p><strong>Results: </strong>Fifty-five patients were affected by thymic neoplasia and 53 by lymphoma. In the validation analysis, the best radiomics model sensitivity, specificity, accuracy and AUC resulted 76.2 ± 7.0, 77.8 ± 5.5, 76.9 ± 6.0 and 0.84 ± 0.06, respectively. In the validation analysis of the clinical model, the same metrics resulted 95.2 ± 7.0, 88.9 ± 8.9, 92.3 ± 8.5 and 0.98 ± 0.07, respectively. The AUCs of the best radiomic and the clinical model not differed.</p> <p><strong>Conclusions: </strong>We developed and validated a CT-based radiomic model able to differentiate mediastinal masses on non-contrast-enhanced images, as thymic neoplasms or lymphoma. The proposed method was not affected by image postprocessing. Therefore, the present image-derived method has the potential to noninvasively support diagnosis in patients with prevascular mediastinal masses with major impact on management of asymptomatic cases.</p> <p> </p>
CT-Scan der sog. Wartburg-Quinterne (ganzes Instrument)
<p>Instrument: Quinterne <br>Herkunftsland: Deutschland? <br>Instrumentenzettel: "Hans Ot [zu?] / Nuremberg" <br>Datierung: 15. Jahrhundert? <br>Aufbewahrungsort: Eisenach, Wartburg <br>Inventarnummer: KH50</p><p>Maße: <br>Gesamtlänge: 689 mm <br>Breite: 229 mm</p><p>Material: <br>Korpus: Ahorn <br>Decke: Fichte <br>Rosette: Pergament <br>Griffbrett: Birnbaum/Mooreiche <br>Anhängestifte: Messing <br>Wirbel: Ahorn <br>Untersattel/Steg: Mahagoni mit Elfenbeineinlage</p><p>Mikro-CT-Scan: Fraunhofer-Entwicklungszentrum Röntgentechnik in Fürth (Fraunhofer-IIS/EZRT), Leitender Wissenschaftler: Dr. Theobald Fuchs, Produktionsmonitoring: Gabriele Scholz</p><p>Foto des Untersuchungs-Aufbaus: Fraunhofer-IIS/EZRT</p><p>Technische Angaben zu den CT-Scans: <br>Röntgenröhre: Yxlon FXE-225.99 (Verwendung des Transmissionskopfs) <br>Detektor: Thales Pixium RF4343 <br>Größe: 42,39 cm x 42,39 cm <br>Pixelanzahl: 2864 x 2864 <br>Pixelpitch: 148 μm <br>Aufnahmeparameter: 150 kV, 270 μA <br>Aufnahmeverfahren für den Korpus: Helix-CT</p><p>Bis zum Erscheinen des Artikels zur Neuuntersuchung der Wartburg-Quinterne von Thilo Hirsch und weiteren Co-Autor*innen ist das Material nicht zugänglich (voraussichtlich bis Mitte 2024). Danach muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung der Wartburg-Stiftung zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.</p>
CT-Scan der sog. Wartburg-Quinterne (ROI1: Wirbelkasten)
<p>Instrument: Quinterne <br>Herkunftsland: Deutschland? <br>Instrumentenzettel: "Hans Ot [zu?] / Nuremberg" <br>Datierung: 15. Jahrhundert? <br>Aufbewahrungsort: Eisenach, Wartburg <br>Inventarnummer: KH50</p><p>Maße: <br>Gesamtlänge: 689 mm <br>Breite: 229 mm</p><p>Material: <br>Korpus: Ahorn <br>Decke: Fichte <br>Rosette: Pergament <br>Griffbrett: Birnbaum/Mooreiche <br>Anhängestifte: Messing <br>Wirbel: Ahorn <br>Untersattel/Steg: Mahagoni mit Elfenbeineinlage</p><p>Mikro-CT-Scan: Fraunhofer-Entwicklungszentrum Röntgentechnik in Fürth (Fraunhofer-IIS/EZRT), Leitender Wissenschaftler: Dr. Theobald Fuchs, Produktionsmonitoring: Gabriele Scholz</p><p>Foto des Untersuchungs-Aufbaus: Fraunhofer-IIS/EZRT</p><p>Technische Angaben zu den CT-Scans: <br>Röntgenröhre: Yxlon FXE-225.99 (Verwendung des Transmissionskopfs) <br>Detektor: Thales Pixium RF4343 <br>Größe: 42,39 cm x 42,39 cm <br>Pixelanzahl: 2864 x 2864 <br>Pixelpitch: 148 μm <br>Aufnahmeparameter: 150 kV, 270 μA <br>Aufnahmeverfahren für den Korpus: Helix-CT</p><p>Bis zum Erscheinen des Artikels zur Neuuntersuchung der Wartburg-Quinterne von Thilo Hirsch und weiteren Co-Autor*innen ist das Material nicht zugänglich (voraussichtlich bis Mitte 2024). Danach muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung der Wartburg-Stiftung zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.</p>
CT-Scan der sog. Wartburg-Quinterne (ROI3: Diskantseite der Decke)
<p><span>Instrument: </span><span>Quinterne <br></span><span>Herkunftsland: Deutschland? <br></span><span>Instrumentenzettel: </span><span>„Hans Ot [zu?] / Nuremberg“ <br></span><span>Datierung: 15. Jahrhundert? <br></span><span>Aufbewahrungsort: Eisenach, Wartburg <br></span><span>Inventarnummer: KH50</span></p> <p><span>Maße: <br></span><span>Gesamtlänge: 689 mm <br></span><span>Breite: 229 mm</span></p> <p><span>Material: <br></span><span>Korpus: Ahorn <br></span><span>Decke: Fichte <br></span><span>Rosette: Pergament <br></span><span>Griffbrett: Birnbaum/Mooreiche <br></span><span>Anhängestifte: Messing <br></span><span>Wirbel: Ahorn <br></span><span>Untersattel/Steg: Mahagoni mit Elfenbeineinlage</span></p> <p><span>Mikro-CT-Scan: Fraunhofer-Entwicklungszentrum Röntgentechnik in Fürth (Fraunhofer-IIS/EZRT), Leitender Wissenschaftler: Dr. Theobald Fuchs, </span><span>Produktionsmonitoring:</span><span> </span><span>Gabriele Scholz</span></p> <p><span> </span><span>Foto des Untersuchungs-Aufbaus: </span><span>Fraunhofer-IIS/EZRT</span></p> <p><span>Technische Angaben zu den CT-Scans: <br></span><span>Röntgenröhre: Yxlon FXE-225.99 (Verwendung des Transmissionskopfs) <br></span><span>Detektor: Thales Pixium RF4343 <br></span><span>Größe: 42,39 cm x 42,39 cm <br></span><span>Pixelanzahl: 2864 x 2864 <br></span><span>Pixelpitch: 148 μm <br></span><span>Aufnahmeparameter: 150 kV, 270 μA <br></span><span>Aufnahmeverfahren für den Korpus: Helix-CT</span></p> <p><span>Bis zum Erscheinen des Artikels zur Neuuntersuchung der Wartburg-Quinterne von Thilo Hirsch und weiteren Co-Autor*innen ist das Material nicht zugänglich (voraussichtlich bis Mitte 2024). Danach muss zuerst das Formular «request access» ausgefüllt und abgeschickt werden. Daraufhin bekommen Sie die Aufforderung, eine Genehmigung der Wartburg-Stiftung </span><span>zur Verwendung der Daten einzuholen. Sobald diese vorliegt, wird der Download-Link verschickt.</span></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.