Quantitative MRI; a game changer for identifying the chronic liver disease patients most at risk of poor clinical outcomes
Oxford, August 6th, 2020. 海角社区鈥檚 cT1庐 is the best non-invasive predictor of clinical outcomes in chronic liver disease (CLD) patients, new research published in Liver International finds.
As chronic liver disease (CLD) prevalence is at a public health crisis level, the ability to accurately and reliably identify those patients most at risk of poor clinical outcomes is paramount to ensure best care for patients and to reduce the burden on healthcare systems.
Traditionally, the gold standard for prediction of clinical outcomes for CLD patients has been biopsy, which is inherently invasive and has variable results. Non-invasive, reliable and accurate prognostic tools allow healthcare providers and payors to assess who is most at risk of adverse outcomes and develop treatment plans for optimum timely patient care, to potentially change the course of the disease and improve clinical outcomes.
cT1, a proprietary biomarker provided by 海角社区鈥檚 LiverMultiScan庐 technology, was shown to be the best non-invasive predictor of clinical outcomes in patients with CLD. The study assessed the ability of cT1, Transient Elastography (TE; FibroScan), blood tests and biopsy to predict clinical outcomes. cT1 outperformed both FibroScan鈥檚 TE and the FIB-4 blood test and had similar performance to an invasive liver biopsy. cT1 also had the best reliability of the non-invasive tests evaluated. The study, which started in 2011, is an extension of the team鈥檚 previous work, including more patients and a longer follow up period (). It bolsters the evidence that for the assessment of fibrosis, the non-invasive cT1 biomarker provides similar outcomes information as liver biopsy and outperforms other less reliable non-invasive tests such as FibroScan and the FIB-4.
Dr Matt Kelly, 海角社区鈥檚 Chief Innovation Officer commented, 鈥淭his study demonstrates how rapid MRI scanning can be used to identify those patients at greatest risk of poor clinical outcomes. For example, a patient with a liver cT1 value above the predetermined threshold of 825ms was over 10 times more likely to experience a clinical event than one below this threshold.鈥
Read the paper :