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Depositordc.contributorMole, Damian
Funderdc.contributor.otherUKRI - UK Research and Innovationen_UK
Spatial Coveragedc.coverage.spatialEdinburghen_UK
Spatial Coveragedc.coverage.spatialUKen
Spatial Coveragedc.coverage.spatialUNITED KINGDOMen
Data Creatordc.creatorMole, Damian
Date Accessioneddc.date.accessioned2020-07-31T09:59:10Z
Date Availabledc.date.available2020-08-26
Citationdc.identifier.citationMole, Damian. (2020). Quantitative magnetic resonance imaging predicts individual future liver performance after liver resection for cancer, [dataset]. University of Edinburgh. School of Clinical Sciences. https://doi.org/10.7488/ds/2891.en
Persistent Identifierdc.identifier.urihttps://hdl.handle.net/10283/3716
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2891
Dataset Description (abstract)dc.description.abstractThe risk of poor post-operative outcome and the benefits of surgical resection as a curative therapy require careful assessment by the clinical care team for patients with primary and secondary liver cancer. Advances in surgical techniques have improved patient outcomes but identifying which individual patients are at greatest risk of poor post-operative liver performance remains a challenge. Here we report results from a multicentre observational clinical trial (ClinicalTrials.gov NCT03213314) which aimed to inform personalised pre-operative risk assessment in liver cancer surgery by evaluating liver health using quantitative multiparametric magnetic resonance imaging (MRI). We combined estimation of future liver remnant (FLR) volume with corrected T1 (cT1) of the liver parenchyma as a representation of liver health in 143 patients prior to treatment.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. School of Clinical Sciencesen_UK
Rightsdc.rightsCreative Commons Attribution 4.0 International Public License http://creativecommons.org/licenses/by/4.0/legalcodeen
Titledc.titleQuantitative magnetic resonance imaging predicts individual future liver performance after liver resection for canceren_UK
Typedc.typedataseten_UK

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