Measurement of liver iron by magnetic resonance imaging in the UK Biobank population

被引:33
|
作者
McKay, Andy [1 ]
Wilman, Henry R. [1 ,2 ]
Dennis, Andrea [1 ]
Kelly, Matt [1 ]
Gyngell, Michael L. [1 ]
Neubauer, Stefan [1 ,3 ]
Bell, Jimmy D. [2 ]
Banerjee, Rajarshi [1 ]
Thomas, E. Louise [2 ]
机构
[1] Perspectum Diagnost, Oxford, England
[2] Univ Westminster, Sch Life Sci, Res Ctr Optimal Hlth, London, England
[3] Univ Oxford, Radcliffe Dept Med, Div Cardiovasc Med, Oxford Ctr Clin Magnet Resonance Res OCMR, Oxford, England
来源
PLOS ONE | 2018年 / 13卷 / 12期
基金
“创新英国”项目;
关键词
HEPATIC IRON; FATTY LIVER; HEPATOCELLULAR-CARCINOMA; FOLLOW-UP; OVERLOAD; DISEASE; HEMOCHROMATOSIS; ASSOCIATION; PREVALENCE; QUANTIFICATION;
D O I
10.1371/journal.pone.0209340
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The burden of liver disease continues to increase in the UK, with liver cirrhosis reported to be the third most common cause of premature death. Iron overload, a condition that impacts liver health, was traditionally associated with genetic disorders such as hereditary haemochromatosis, however, it is now increasingly associated with obesity, type-2 diabetes and non-alcoholic fatty liver disease. The aim of this study was to assess the prevalence of elevated levels of liver iron within the UK Biobank imaging study in a cohort of 9108 individuals. Magnetic resonance imaging (MRI) was undertaken at the UK Biobank imaging centre, acquiring a multi-echo spoiled gradient-echo single-breath-hold MRI sequence from the liver. All images were analysed for liver iron and fat (expressed as proton density fat fraction or PDFF) content using LiverMultiScan. Liver iron was measured in 97.3% of the cohort. The mean liver iron content was 1.32 +/- 0.32 mg/g while the median was 1.25 mg/g (min: 0.85 max: 6.44 mg/g). Overall 4.82% of the population were defined as having elevated liver iron, above commonly accepted 1.8 mg/g threshold based on biochemical iron measurements in liver specimens obtained by biopsy. Further analysis using univariate models showed elevated liver iron to be related to male sex (p<10(-16), r(2) = 0.008), increasing age (p<10(-16), r(2) = 0.013), and red meat intake (p<10(-16), r(2) = 0.008). Elevated liver fat (>5.6% PDFF) was associated with a slight increase in prevalence of elevated liver iron (4.4% vs 6.3%, p = 0.0007). This study shows that population studies including measurement of liver iron concentration are feasible, which may in future be used to better inform patient stratification and treatment.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Standardization of the quantification of iron concentration in the liver by magnetic resonance imaging
    Alustiza, J. M.
    Emparanza, J. I.
    Aldazabalc, P.
    Garrido, A.
    Garcia, N.
    Salvador, E.
    San Vicente, M.
    RADIOLOGIA, 2012, 54 (02): : 149 - 154
  • [22] Non-invasive measurement of liver iron concentration by magnetic resonance imaging and its clinical usefulness
    Alustiza, Jose M.
    Castiella, Agustin
    Zapata, Eva
    Urreta, Iratxe
    Salvador, Emma
    Emparanza, Jose I.
    ARCHIVES OF MEDICAL SCIENCE, 2023, 19 (03) : 784 - 791
  • [23] Magnetic Resonance Imaging of the Pediatric Liver Imaging of Steatosis, Iron Deposition, and Fibrosis
    Towbin, Alexander J.
    Serai, Suraj D.
    Podberesky, Daniel J.
    MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2013, 21 (04) : 669 - +
  • [24] Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
    Robert Robinson
    Vanya V. Valindria
    Wenjia Bai
    Ozan Oktay
    Bernhard Kainz
    Hideaki Suzuki
    Mihir M. Sanghvi
    Nay Aung
    José Miguel Paiva
    Filip Zemrak
    Kenneth Fung
    Elena Lukaschuk
    Aaron M. Lee
    Valentina Carapella
    Young Jin Kim
    Stefan K. Piechnik
    Stefan Neubauer
    Steffen E. Petersen
    Chris Page
    Paul M. Matthews
    Daniel Rueckert
    Ben Glocker
    Journal of Cardiovascular Magnetic Resonance, 21
  • [25] Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
    Robinson, Robert
    Valindria, Vanya V.
    Bai, Wenjia
    Oktay, Ozan
    Kainz, Bernhard
    Suzuki, Hideaki
    Sanghvi, Mihir M.
    Aung, Nay
    Paiva, Jose Miguel
    Zemrak, Filip
    Fung, Kenneth
    Lukaschuk, Elena
    Lee, Aaron M.
    Carapella, Valentina
    Kim, Young Jin
    Piechnik, Stefan K.
    Neubauer, Stefan
    Petersen, Steffen E.
    Page, Chris
    Matthews, Paul M.
    Rueckert, Daniel
    Glocker, Ben
    JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2019, 21
  • [26] Narrative review of magnetic resonance imaging in quantifying liver iron load
    Feng, Qing
    Yi, Jixing
    Li, Tao
    Liang, Bumin
    Xu, Fengming
    Peng, Peng
    FRONTIERS IN MEDICINE, 2024, 11
  • [27] Role of liver magnetic resonance imaging in hyperferritinaemia and the diagnosis of iron overload
    Axel, Ruefer
    Christine, Bapst
    Rudolf, Benz
    Jens, Bremerich
    Nathan, Cantoni
    Laura, Infanti
    Kaveh, Samii
    Mathias, Schmid
    Jean-Paul, Vallee
    SWISS MEDICAL WEEKLY, 2017, 147
  • [28] R* magnetic resonance imaging (MRI) of the liver for patients with iron overload
    Hankins, Jane S.
    McCarville, M. Beth
    Loeffler, Ralph
    Song, Ruitian
    Ware, Russell E.
    Hansbury, Eileen
    Rieman, Martha
    Mortier, Nicole
    Smeltzer, Matthew
    Li, Chin-Shang
    Hoffer, Fred
    Hillenbrand, Claudia
    BLOOD, 2007, 110 (11) : 785A - 785A
  • [29] A robust method for assessment of iron overload in liver by magnetic resonance imaging
    Positano, Vincenzo
    Salani, Benedetta
    Scattini, Barbara
    Santarelli, Maria F.
    Ramazzotti, Anna
    Pepe, Alessia
    Lombardi, Massimo
    Landini, Luigi
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 2895 - +
  • [30] Use of magnetic resonance imaging to assess liver iron in a provincial hospital
    Devalia, V.
    Tudor, G.
    Yapp, T.
    Constable, G.
    AMERICAN JOURNAL OF HEMATOLOGY, 2007, 82 (06) : 600 - 601