MR and Ultrasound for Liver Fat Assessment in Children: Techniques and Supporting Evidence

被引:0
作者
Serai, Suraj D. [1 ,2 ]
Dhyani, Manish [3 ]
Srivastava, Saubhagya [3 ]
Dillman, Jonathan R. [4 ,5 ]
机构
[1] Childrens Hosp Philadelphia, Dept Radiol, Philadelphia, PA 19104 USA
[2] Univ Penn, Perelman Sch Med, Philadelphia, PA 19104 USA
[3] Univ Washington, Dept Radiol, Seattle, WA USA
[4] Cincinnati Childrens Hosp Med Ctr, Dept Radiol, Cincinnati, OH USA
[5] Univ Cincinnati, Coll Med, Dept Radiol, Cincinnati, OH USA
关键词
diffuse liver diseases; liver fat; PDFF; quantitative MRI; quantitative ultrasound; steatosis; MAGNETIC-RESONANCE-SPECTROSCOPY; HEPATIC STEATOSIS; NONINVASIVE DIAGNOSIS; DISEASE; QUANTIFICATION; FRACTION; BIOPSY; ATTENUATION; PREVALENCE; ACCURACY;
D O I
10.1002/jmri.29756
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
Hepatic steatosis is a common imaging finding that can be a sign of chronic liver disease, most often associated with metabolic dysfunction-associated steatotic liver disease (MASLD). Imaging techniques for evaluating steatosis range from basic qualitative assessments to advanced and highly accurate quantitative metrics. Among these, MRI-based proton density fat fraction (PDFF) is widely regarded as a reliable and precise imaging biomarker for quantifying liver steatosis. Additionally, multiple ultrasound platforms now offer quantitative assessments of hepatic steatosis. These methods include attenuation coefficient, speed of sound, backscatter, or other multiparametric approaches such as ultrasound-derived fat fraction (UDFF) which combines attenuation and backscatter quantification. Newer and upcoming quantitative ultrasound methods include acoustic structure quantification (ASQ) and tissue scatter distribution imaging (TSI). Therefore, ultrasound-based liver fat measurements could potentially serve as an effective screening tool in certain clinical settings, such as suspected MASLD. In this review, we describe how, why, and when to use MRI- and ultrasound-based fat quantification techniques for assessing liver steatosis in children. We discuss practical strategies for adapting and optimizing these methods in pediatric settings, considering clinical indications, patient preparation, equipment needs, acquisition techniques, potential pitfalls, and confounding factors. Additionally, guidance is provided for interpretation and reporting, along with illustrative case examples.
引用
收藏
页数:16
相关论文
共 103 条
  • [41] Multisite, Multivendor Validation of the Accuracy and Reproducibility of Proton-Density Fat-Fraction Quantification at 1.5T and 3T Using a Fat-Water Phantom
    Hernando, Diego
    Sharma, Samir
    Ghasabeh, Mounes Aliyari
    Alvis, Bret
    Arora, Sandeep
    Hamilton, Gavin
    Pan, Li
    Shaffer, Jean
    Sofue, Keitaro
    Szeverenyi, Nikolaus
    Welch, E. Brian
    Yuan, Qing
    Bashir, Mustafa
    Kamel, Ihab
    Rice, Mark
    Sirlin, Claude
    Yokoo, Takeshi
    Reeder, Scott
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2017, 77 (04) : 1516 - 1524
  • [42] Hong Cheng William, 2017, Top Magn Reson Imaging, V26, P221, DOI 10.1097/RMR.0000000000000141
  • [43] Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography
    Imajo, Kento
    Kessoku, Takaomi
    Honda, Yasushi
    Tomeno, Wataru
    Ogawa, Yuji
    Mawatari, Hironori
    Fujita, Koji
    Yoneda, Masato
    Taguri, Masataka
    Hyogo, Hideyuki
    Sumida, Yoshio
    Ono, Masafumi
    Eguchi, Yuichiro
    Inoue, Tomio
    Yamanaka, Takeharu
    Wada, Koichiro
    Saito, Satoru
    Nakajima, Atsushi
    [J]. GASTROENTEROLOGY, 2016, 150 (03) : 626 - +
  • [44] Isaksen Victoria T, 2016, BMC Obes, V3, P39, DOI 10.1186/s40608-016-0118-0
  • [45] Accuracy of the ultrasound attenuation coefficient for the evaluation of hepatic steatosis: a systematic review and meta-analysis of prospective studies
    Jang, Jong Keon
    Choi, Sang Hyun
    Lee, Ji Sung
    Kim, So Yeon
    Lee, Seung Soo
    Kim, Kyung Won
    [J]. ULTRASONOGRAPHY, 2022, 41 (01) : 83 - 92
  • [46] Magnetic Resonance Imaging-Proton Density Fat Fraction vs. Transient Elastography-Controlled Attenuation Parameter in Diagnosing Non-alcoholic Fatty Liver Disease in Children and Adolescents: A Meta-Analysis of Diagnostic Accuracy
    Jia, Shuangzhen
    Zhao, Yuzhen
    Liu, Jiaqi
    Guo, Xu
    Chen, Moxian
    Zhou, Shaoming
    Zhou, Jianli
    [J]. FRONTIERS IN PEDIATRICS, 2022, 9
  • [47] Quantitative MRI of fatty liver disease in a large pediatric cohort: correlation between liver fat fraction, stiffness, volume, and patient-specific factors
    Joshi, Madalsa
    Dillman, Jonathan R.
    Singh, Kamalpreet
    Serai, Suraj D.
    Towbin, Alexander J.
    Xanthakos, Stavra
    Zhang, Bin
    Su, Weizhe
    Trout, Andrew T.
    [J]. ABDOMINAL RADIOLOGY, 2018, 43 (05) : 1168 - 1179
  • [48] Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis
    Karlas, Thomas
    Petroff, David
    Sasso, Magali
    Fan, Jian-Gao
    Mi, Yu-Qiang
    de Ledinghen, Victor
    Kumar, Manoj
    Lupsor-Platon, Monica
    Han, Kwang-Hyub
    Cardoso, Ana C.
    Ferraioli, Giovanna
    Chan, Wah-Kheong
    Wong, Vincent Wai-Sun
    Myers, Robert P.
    Chayama, Kazuaki
    Friedrich-Rust, Mireen
    Beaugrand, Michel
    Shen, Feng
    Hiriart, Jean-Baptiste
    Sarin, Shiv K.
    Badea, Radu
    Jung, Kyu Sik
    Marcellin, Patrick
    Filice, Carlo
    Mahadeva, Sanjiv
    Wong, Grace Lai-Hung
    Crotty, Pam
    Masaki, Keiichi
    Bojunga, Joerg
    Bedossa, Pierre
    Keim, Volker
    Wiegand, Johannes
    [J]. JOURNAL OF HEPATOLOGY, 2017, 66 (05) : 1022 - 1030
  • [49] Karlas T, 2014, HEPATOLOGY, V60, p633A
  • [50] Design and validation of a histological scoring system for nonalcoholic fatty liver disease
    Kleiner, DE
    Brunt, EM
    Van Natta, M
    Behling, C
    Contos, MJ
    Cummings, OW
    Ferrell, LD
    Liu, YC
    Torbenson, MS
    Unalp-Arida, A
    Yeh, M
    McCullough, AJ
    Sanyal, AJ
    [J]. HEPATOLOGY, 2005, 41 (06) : 1313 - 1321