Details

Autor(en) / Beteiligte

• Banerjee, Rajarshi
• Pavlides, Michael
• Tunnicliffe, Elizabeth M
• Piechnik, Stefan K
• Sarania, Nikita
• Philips, Rachel
• Collier, Jane D
• Booth, Jonathan C
• Schneider, Jurgen E
• Wang, Lai Mun
• Delaney, David W
• Fleming, Ken A
• Robson, Matthew D
• Barnes, Eleanor
• Neubauer, Stefan

Titel

Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease

Ist Teil von

• Journal of hepatology, 2014-01, Vol.60 (1), p.69-77

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2014

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Background & Aims With the increasing prevalence of liver disease worldwide, there is an urgent clinical need for reliable methods to diagnose and stage liver pathology. Liver biopsy, the current gold standard, is invasive and limited by sampling and observer dependent variability. In this study, we aimed to assess the diagnostic accuracy of a novel magnetic resonance protocol for liver tissue characterisation. Methods We conducted a prospective study comparing our magnetic resonance technique against liver biopsy. The individual components of the scanning protocol were T1 mapping, proton spectroscopy and T2∗ mapping, which quantified liver fibrosis, steatosis and haemosiderosis, respectively. Unselected adult patients referred for liver biopsy as part of their routine care were recruited. Scans performed prior to liver biopsy were analysed by physicians blinded to the histology results. The associations between magnetic resonance and histology variables were assessed. Receiver-operating characteristic analyses were also carried out. Results Paired magnetic resonance and biopsy data were obtained in 79 patients. Magnetic resonance measures correlated strongly with histology (rs = 0.68 p <0.0001 for fibrosis; rs = 0.89 p <0.001 for steatosis; rs = −0.69 p <0.0001 for haemosiderosis). The area under the receiver operating characteristic curve was 0.94, 0.93, and 0.94 for the diagnosis of any degree of fibrosis, steatosis and haemosiderosis respectively. Conclusion The novel scanning method described here provides high diagnostic accuracy for the assessment of liver fibrosis, steatosis and haemosiderosis and could potentially replace liver biopsy for many indications. This is the first demonstration of a non-invasive test to differentiate early stages of fibrosis from normal liver.