Quantitative magnetic resonance imaging predicts individual future liver performance after liver resection for cancer
Data CreatorMole, Damian
PublisherUniversity of Edinburgh. School of Clinical Sciences
MetadataShow full item record
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.
DescriptionThe 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.
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