US Quantification of Liver Fat: Past, Present, and Future

被引:11
作者
Fetzer, David T. [1 ]
Pierce, Theodore T. [3 ,4 ]
Robbin, Michelle L. [5 ]
Cloutier, Guy [6 ]
Mufti, Arjmand [2 ]
Hall, Timothy J. [7 ]
Chauhan, Anil [8 ]
Kubale, Reinhard [9 ]
Tang, An [10 ]
机构
[1] UT Southwestern Med Ctr, Dept Radiol, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390 USA
[2] UT Southwestern Med Ctr, Dept Internal Med, Div Digest & Liver Dis, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390 USA
[3] Massachusetts Gen Hosp, Dept Radiol, Boston, MA USA
[4] Harvard Med Sch, Boston, MA USA
[5] Univ Alabama Birmingham, Dept Radiol, Birmingham, AL USA
[6] Univ Montreal Hosp Res Ctr, Dept Radiol & Biomed Engn, Lab Biorheol & Med Ultrason, Montreal, PQ, Canada
[7] Univ Wisconsin, Dept Med Phys, Madison, WI USA
[8] Univ Kansas, Dept Radiol, Med Ctr, Kansas City, KS USA
[9] Univ Hosp Homburg Saar, Dept Diagnost & Intervent Radiol, Homburg, Germany
[10] Univ Montreal, Ctr Hosp Univ Montreal CHUM, Dept Radiol, Montreal, PQ, Canada
关键词
CONTROLLED ATTENUATION PARAMETER; HEPATIC STEATOSIS; QUANTITATIVE ULTRASOUND; HEPATORENAL INDEX; DIAGNOSTIC-ACCURACY; UNITED-STATES; DISEASE; BACKSCATTER; FRACTION; MRI;
D O I
10.1148/rg.220178
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardiovascular events and higher long-term medical costs, and may lead to liver-related morbidity and mortality. There is an urgent need for accurate, reproducible, accessible, and noninvasive techniques appropriate for detecting and quantifying liver fat in the general population and for monitoring treatment response in at-risk patients. CT may play a potential role in opportunistic screening, and MRI proton-density fat fraction provides high accuracy for liver fat quantification; however, these imaging modalities may not be suited for widespread screening and surveillance, given the high global prevalence. US, a safe and wide-ly available modality, is well positioned as a screening and surveillance tool. Although well-established qualitative signs of liver fat perform well in moderate and severe steatosis, these signs are less reliable for grading mild steatosis and are likely unreliable for detecting subtle changes over time. New and emerging quantitative biomarkers of liver fat, such as those based on standardized measurements of attenuation, backscatter, and speed of sound, hold promise. Evolving techniques such as multiparametric modeling, radiofrequency envelope analysis, and artificial intelligence–based tools are also on the horizon. The authors discuss the societal impact of fatty liver dis-ease, summarize the current state of liver fat quantification with CT and MRI, and describe past, currently available, and potential future US-based techniques for evaluating liver fat. For each US-based technique, they describe the concept, measurement method, ad-vantages, and limitations. © RSNA, 2023.
引用
收藏
页数:18
相关论文
共 75 条
  • [1] Non-alcoholic fatty liver disease and its relationship with cardiovascular disease and other extrahepatic diseases
    Adams, Leon A.
    Anstee, Quentin M.
    Tilg, Herbert
    Targher, Giovanni
    [J]. GUT, 2017, 66 (06) : 1138 - 1153
  • [2] Healthcare Cost and Utilization in Nonalcoholic Fatty Liver Disease: Real-World Data From a Large US Claims Database
    Allen, Alina M.
    Van Houten, Holly K.
    Sangaralingham, Lindsey R.
    Talwalkar, Jayant A.
    McCoy, Rozalina G.
    [J]. HEPATOLOGY, 2018, 68 (06) : 2230 - 2238
  • [3] [Anonymous], 2013, Quantitative Ultrasound in Soft Tissues
  • [4] Quantitative Assessment of Fatty Liver using Ultrasound with Normalized Local Variance Technique
    Bae, Jae Seok
    Lee, Dong Ho
    Lee, Jae Young
    Kim, Haeryoung
    Yu, Su Jong
    Lee, Jeong-Hoon
    Cho, Eun Ju
    Lee, Yun Bin
    Han, Joon Koo
    Choi, Byung Ihn
    [J]. ULTRASCHALL IN DER MEDIZIN, 2021, 42 (06): : 599 - 606
  • [5] Sampling variability of liver fibrosis in chronic hepatitis C
    Bedossa, P
    Dargère, D
    Paradis, V
    [J]. HEPATOLOGY, 2003, 38 (06) : 1449 - 1457
  • [6] Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks
    Byra, Michal
    Han, Aiguo
    Boehringer, Andrew S.
    Zhang, Yingzhen N.
    O'Brien, William D., Jr.
    Erdman, John W., Jr.
    Loomba, Rohit
    Sirlin, Claude B.
    Andre, Michael
    [J]. JOURNAL OF ULTRASOUND IN MEDICINE, 2022, 41 (01) : 175 - 184
  • [7] Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease
    Cao, Wen
    An, Xing
    Cong, Longfei
    Lyu, Chaoyang
    Zhou, Qian
    Guo, Ruijun
    [J]. JOURNAL OF ULTRASOUND IN MEDICINE, 2020, 39 (01) : 51 - 59
  • [8] The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases
    Chalasani, Naga
    Younossi, Zobair
    Lavine, Joel E.
    Charlton, Michael
    Cusi, Kenneth
    Rinella, Mary
    Harrison, Stephen A.
    Brunt, Elizabeth M.
    Sanyal, Arun J.
    [J]. HEPATOLOGY, 2018, 67 (01) : 328 - 357
  • [9] Diagnostic accuracy of hepatorenal index in the detection and grading of hepatic steatosis
    Chauhan, Anil
    Sultan, Laith R.
    Furth, Emma E.
    Jones, Lisa P.
    Khungar, Vandana
    Sehgal, Chandra M.
    [J]. JOURNAL OF CLINICAL ULTRASOUND, 2016, 44 (09) : 580 - 586
  • [10] Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists
    Cloutier, Guy
    Destrempes, Francois
    Yu, Francois
    Tang, An
    [J]. INSIGHTS INTO IMAGING, 2021, 12 (01)