Narrative review of magnetic resonance imaging in quantifying liver iron load

被引:1
作者
Feng, Qing [1 ]
Yi, Jixing [1 ]
Li, Tao [1 ]
Liang, Bumin [2 ]
Xu, Fengming [1 ,3 ]
Peng, Peng [3 ]
机构
[1] Guangxi Med Univ, Liuzhou Workers Hosp, Dept Radiol, Affiliated Hosp 4, Liuzhou, Peoples R China
[2] Guangxi Med Univ, Sch Int Educ, Nanning, Peoples R China
[3] Guangxi Med Univ, Dept Radiol, Affiliated Hosp 1, Nanning 530021, Peoples R China
基金
中国国家自然科学基金;
关键词
magnetic resonance imaging; T-2*; quantifying; liver; load of iron; NONINVASIVE MEASUREMENT; QUANTIFICATION; OVERLOAD; MRI; THALASSEMIA; R2;
D O I
10.3389/fmed.2024.1321513
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: To summarize the research progress of magnetic resonance imaging (MRI) in quantifying liver iron load. Methods: To summarize the current status and progress of MRI technology in the quantitative study of liver iron load through reviewing the relevant literature at home and abroad. Results: Different MRI sequence examination techniques have formed a series of non-invasive methods for the examination of liver iron load. These techniques have important clinical significance in the imaging diagnosis of liver iron load. So far, the main MRI methods used to assess liver iron load are: signal intensity measurement method (signal intensity, SI) [signal intensity ratio (SIR) and difference in in-phase and out-of-phase signal intensity], T-2/R-2 measurement (such as FerriScan technique), ultra-short echo time (UTE) imaging technique, and susceptibility weighted imaging (including conventional susceptibility weighted imaging) (SWI), quantitative susceptibility mapping (QSM), T-2*/R-2* measurement, Dixon and its derivative techniques. Conclusion: MRI has become the first choice for the non-invasive examination of liver iron overload, and it is helpful to improve the early detection of liver injury, liver fibrosis, liver cirrhosis and liver cancer caused by liver iron overload.
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页数:8
相关论文
共 48 条
[1]   R2 relaxometry with MRI for the quantification of tissue iron overload in β-thalassemic patients [J].
Alexopoulou, E ;
Stripeli, F ;
Baras, P ;
Seimenis, L ;
Kattamis, A ;
Ladis, V ;
Efstathopoulos, E ;
Brountzos, EN ;
Kelekis, AD ;
Kelekis, NL .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2006, 23 (02) :163-170
[2]   Noninvasive measurement of iron: report of an NIDDK workshop [J].
Brittenham, GM ;
Badman, DG .
BLOOD, 2003, 101 (01) :15-19
[3]   Noninvasive methods for quantitative assessment of transfusional iron overload in sickle cell disease [J].
Brittenham, GM ;
Sheth, S ;
Allen, CJ ;
Farrell, DE .
SEMINARS IN HEMATOLOGY, 2001, 38 (01) :37-56
[4]   MRI assessment of liver iron content in thalassamic patients with three different protocols: comparisons and correlations [J].
Christoforidis, Athanasios ;
Perifanis, Vassilios ;
Spanos, George ;
Vlachaki, Efthimia ;
Economou, Marina ;
Tsatra, Ioanna ;
Athanassiou-Metaxa, Miranda .
EUROPEAN JOURNAL OF HAEMATOLOGY, 2009, 82 (05) :388-392
[5]   R2 and R2*MRI assessment of liver iron content in an undifferentiated diagnostic population with hyperferritinaemia, and impact on clinical decision making [J].
Craft, Melissa L. ;
Edwards, Morgan ;
Jain, Tarun Pankaj ;
Choi, Philip Y. .
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 135
[6]   Non-invasive measurement of liver iron concentration using 3-Tesla magnetic resonance imaging: validation against biopsy [J].
d'Assignies, Gaspard ;
Paisant, Anita ;
Bardou-Jacquet, Edouard ;
Boulic, Anne ;
Bannier, Elise ;
Laine, Fabrice ;
Ropert, Martine ;
Morcet, Jeff ;
Saint-Jalmes, Herve ;
Gandon, Yves .
EUROPEAN RADIOLOGY, 2018, 28 (05) :2022-2030
[7]   Computed tomography (CT) and magnetic resonance imaging (MRI) of diffuse liver disease: a multiparametric predictive modelling algorithm can aid categorization of liver parenchyma [J].
Donners, Ricardo ;
Zaugg, Carmen ;
Gehweiler, Julian E. ;
Boldanova, Tuyana ;
Heim, Markus H. ;
Terracciano, Luigi M. ;
Boll, Daniel T. .
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2022, 12 (02) :1186-+
[8]   Impact of iron deposit on the accuracy of quantifying liver fat fraction using multi-material decomposition algorithm in dual-energy spectral computed tomography [J].
Du, Dandan ;
Wu, Xingwang ;
Wang, Jinchuan ;
Chen, Hua ;
Song, Jian ;
Liu, Bin .
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2021, 22 (08) :236-242
[9]   Hepatic iron overload: Diagnosis and quantification with MR imaging [J].
Ernst, O ;
Sergent, G ;
Bonvarlet, P ;
CanvaDelcambre, V ;
Paris, JC ;
LHermine, C .
AMERICAN JOURNAL OF ROENTGENOLOGY, 1997, 168 (05) :1205-1208
[10]   A free software for the calculation of T2*values for iron overload assessment [J].
Fernandes, Juliano Lara ;
Barozi Fioravante, Luciana Andrea ;
Verissimo, Monica P. ;
Loggetto, Sandra R. .
ACTA RADIOLOGICA, 2017, 58 (06) :698-701