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.
82
datasets available to search
ShareScore release 0.9.0
Dataset results
82 results for “CT perfusion”
Dataset related to the article: "CT Perfusion Versus Coronary CT Angiography in Patients With Suspected In-Stent Restenosis or CAD Progression"
<p>This record contains raw data related to the article "CT Perfusion Versus Coronary CT</p> <p>Angiography in Patients With Suspected</p> <p>In-Stent Restenosis or CAD Progression"</p> <p>OBJECTIVES The goal of this study was to assess the diagnostic performance of coronary computed tomography</p> <p>angiography (CTA) alone, adenosine-stress myocardial perfusion assessed by computed tomography (CTP) alone, and</p> <p>coronary CTA þ CTP by using a 16-cm Z-axis coverage scanner versus invasive coronary angiography (ICA) and fractional</p> <p>flow reserve (FFR) as the clinical standard.</p> <p>BACKGROUND Diagnostic performance of coronary CTA for in-stent restenosis detection is still challenging. Recently,</p> <p>CTP showed additional diagnostic power over coronary CTA in patients with suspected coronary artery disease. However,</p> <p>few data are available on CTP performance in patients with previous stent implantation.</p> <p>METHODS Consecutive stable patients with previous coronary stenting referred for ICA were enrolled. All patients</p> <p>underwent stress myocardial CTP and rest CTP þ coronary CTA. Invasive FFR was performed during ICA when clinically</p> <p>indicated. The diagnostic rate and diagnostic accuracy of coronary CTA, CTP, and coronary CTA þ CTP were evaluated in</p> <p>stent-, territory-, and patient-based analyses.</p> <p>RESULTS In the 150 enrolled patients (132 men; mean age 65.1 9.1 years), the CTP diagnostic rate was significantly</p> <p>higher than that of coronary CTA in all analyses (territory based [96.7% vs. 91.1%; p < 0.0001] and patient based [96%</p> <p>vs. 68%; p < 0.0001]). When ICA was used as gold standard, CTP diagnostic accuracy was significantly higher than that</p> <p>of coronary CTA in all analyses (territory based [92.1% vs. 85.5%, p < 0.03] and patient based [86.7% vs. 76.7%,</p> <p>p < 0.03]). The concordant coronary CTA þ CTP assessment exhibited the highest diagnostic accuracy values versus ICA</p> <p>(95.8%in the territory-based analysis). The diagnostic accuracy of CTP was significantly higher than that of coronary CTA</p> <p>(75% vs. 30.5%; p < 0.001). The radiation exposure of coronary CTA þ CTP was 4.15 1.5 mSv.</p> <p>CONCLUSIONS In patients with coronary stents, CTP significantly improved the diagnostic rate and accuracy of coronary</p> <p>CTA alone compared with both ICA and invasive FFR as gold standard.</p>
Computation of contrast-enhanced perfusion using only two CT scan phases: a proof-of-concept study on abdominal organs
<p>Cressoni M, Cozzi A, Schiaffino S, Cadringher P, Vitali P, Basso G, Ippolito D, Sardanelli F. Computation of contrast-enhanced perfusion using only two CT scan phases: a proof-of-concept study on abdominal organs. Eur Radiol Exp. 2022 Aug 29;6(1):37. doi: 10.1186/s41747-022-00292-y. PMID: 36031643; PMCID: PMC9420683.</p> <p>Abstract</p> <p><strong>Background: </strong>Computed tomography perfusion imaging (CTPI) by repeated scanning has clinical relevance but implies relatively high radiation exposure. We present a method to measure perfusion from two CT scan phases only, considering tissue enhancement, feeding vessel (aortic) peak enhancement, and bolus shape.</p> <p><strong>Methods: </strong>CTPI scans (each with 40 frames acquired every 1.5 s) of 11 patients with advanced hepatocellular carcinoma (HCC) enrolled between 2012 and 2016 were retrospectively analysed (aged 69 ± 9 years, 8/11 males). Perfusion was defined as the maximal slope of the time-enhancement curve divided by the peak enhancement of the feeding vessel (aorta). Perfusion was computed two times, first using the maximum slope derived from all data points and then using the peak tissue enhancement and the bolus shape obtained from the aortic curve.</p> <p><strong>Results: </strong>Perfusion values from the two methods were linearly related (r<sup>2</sup> = 0.92, p < 0.001; Bland-Altman analysis bias -0.12). The mathematical model showed that the perfusion ratio of two ROIs with the same feeding vessel (aorta) corresponds to their peak enhancement ratio (r<sup>2</sup> = 0.55, p < 0.001; Bland-Altman analysis bias -0.68). The relationship between perfusion and tissue enhancement is predicted to be linear in the clinical range of interest, being only function of perfusion, peak feeding vessel enhancement, and bolus shape.</p> <p><strong>Conclusions: </strong>This proof-of-concept study showed that perfusion values of HCC, kidney, and pancreas could be computed using enhancement measured only with two CT scan phases, if aortic peak enhancement and bolus shape are known.</p> <p> </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.