Liver Fat Quantification by Ultrasound in Children: A Prospective Study

被引:31
|
作者
D'Hondt, Aurelie [1 ]
Rubesova, Erika [1 ]
Xie, Hua [2 ]
Shamdasani, Vijay [3 ]
Barth, Richard A. [1 ]
机构
[1] Stanford Univ, Lucile Packard Childrens Hosp, Dept Radiol, 725 Welch Rd, Palo Alto, CA 94304 USA
[2] Philips Res North Amer, Dept Precis Diag & Image Guided Therapy, Cambridge, MA USA
[3] Philips Healthcare Ultrasound, Clin Sci, Cambridge, MA USA
关键词
children; liver; nonalcoholic fatty liver disease; proton density fat fraction; quantitative ultrasound; HEPATIC STEATOSIS; DIAGNOSTIC-ACCURACY; FRACTION; STATISTICS; DISEASE; ADULTS;
D O I
10.2214/AJR.20.24874
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
BACKGROUND. Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease in children in certain regions and is rising in prevalence with increasing obesity. Accurate noninvasive imaging methods for diagnosing and quantifying liver fat are needed to guide NAFLD management. OBJECTIVE. The purpose of this article is to evaluate four ultrasound technologies for quantitative assessment of liver fat content in children using MRI proton density fat fraction (PDFF) as a reference standard. METHODS. This prospective study enrolled children who underwent clinical abdominal MRI without general anesthesia between November 2018 and July 2019. Patients underwent investigational liver ultrasound within a day of 1.5-T or 3-T MRI. Acquired ultrasound radiofrequency data were processed offline to compute the acoustic attenuation coefficient, hepatorenal index (HRI), Nakagami parameter, and shear-wave elastography (SWE) parameters (elasticity, viscosity, and dispersion). Ultrasound parameters were compared with MRI PDFF obtained using a multiecho sequence. A second observer independently performed offline attenuation coefficient and HRI measurements in all patients. RESULTS. A total of 48 patients were enrolled: 22 girls, 26 boys; mean age of 13 years (range, 7-17 years); mean body mass index (weight in kilograms divided by the square of height in meters) of 22.25 (range, 14.5-48.1). A total of 21%(10/48) had steatosis (PDFF >= 5%). PDFF was correlated with attenuation coefficient (r = 0.76; 95% CI, 0.60-0.86; p < .001), HRI (r = 0.84; 95%0,0.74-0.91; p < .001), and Nakagami parameter (r = 0.55, 95% CI, 0.32-0.72, p < .001), but not SWE parameters (r = 0.05-0.25; p > .05). In patients with no, mild, moderate, and severe steatosis according to PDFF, the mean (+/- SD) attenuation coefficient was 0.48 +/- 0.08,0.54 +/- 0.03,0.57 +/- 0.04, and 0.86 +/- 0.07 dB/cm/MHz, respectively, and the mean HRI was 1.28 +/- 0.30,1.59 +/- 0.23, 2.25 +/- 0.04, and 3.06 +/- 0.49, respectively. For the attenuation coefficient, the threshold of 0.54 dB/cm/MHz achieved a sensitivity of 80% and a specificity of 82% for steatosis, and 0.60 dB/cm/MHz achieved a sensitivity of 80% and a specificity of 98% for moderate steatosis. For HRI, the threshold of 1.48 achieved sensitivity of 90% and specificity of 76% for steatosis, and 2.11 achieved sensitivity of 100% and specificity of 100% for moderate steatosis. The interobserver concordance coefficient was 0.92 for attenuation coefficient and 0.91 for HRI. CONCLUSION. Attenuation coefficient and HRI accurately detected and quantified liver fat in this small sample of children. CLINICAL IMPACT. Quantitative ultrasound parameters may guide NAFLD diagnosis and management in children.
引用
收藏
页码:996 / 1005
页数:10
相关论文
共 50 条
  • [31] Assessment of liver fat quantification in the presence of iron
    Bydder, Mark
    Shiehmorteza, Masoud
    Yokoo, Takeshi
    Sugay, Sebastian
    Middleton, Michael S.
    Girard, Olivier
    Schroeder, Michael E.
    Wolfson, Tanya
    Gamst, Anthony
    Sirlin, Claude
    MAGNETIC RESONANCE IMAGING, 2010, 28 (06) : 767 - 776
  • [32] Quantification of liver fat infiltration by magnetic resonance
    Herrera, Rodrigo
    Penaloza, Francisco
    Arrietal, Cristobal
    Zacconi, Flavia
    Saavedra, Victor
    Saavedra, Carla
    Branes, Cecilia
    Hack, Thomas
    Uribe, Sergio
    REVISTA MEDICA DE CHILE, 2019, 147 (07) : 821 - 827
  • [33] Clinical Implementation of a Focused MRI Protocol for Hepatic Fat and Iron Quantification
    Pooler, B. Dustin
    Hernando, Diego
    Reeder, Scott B.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (01) : 90 - 95
  • [34] Quantitative ultrasound fatty liver evaluation in a pediatric population: comparison with magnetic resonance imaging of liver proton density fat fraction
    Polti, Giorgia
    Frigerio, Francesco
    Del Gaudio, Giovanni
    Pacini, Patrizia
    Dolcetti, Vincenzo
    Renda, Maurizio
    Angeletti, Sergio
    Di Martino, Michele
    Iannetti, Giovanni
    Perla, Francesco Massimo
    Poggiogalle, Eleonora
    Cantisani, Vito
    PEDIATRIC RADIOLOGY, 2023, 53 (12) : 2458 - 2465
  • [35] The imaging techniques and diagnostic performance of ultrasound, CT, and MRI in detecting liver steatosis and fat quantification: A systematic review
    Wan, Yulei
    Wang, Dawei
    Li, Hongbo
    Xu, Ying
    JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2023, 16 (04)
  • [36] MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI
    Corrias, Giuseppe
    Krebs, Simone
    Eskreis-Winkler, Sarah
    Ryan, Davinia
    Zheng, Junting
    Capanu, Marinela
    Saba, Luca
    Monti, Serena
    Fung, Maggie
    Reeder, Scott
    Mannelli, Lorenzo
    CLINICAL IMAGING, 2018, 52 : 193 - 199
  • [37] A prospective study of quantitative ultrasound in children and adolescents
    Lappe, JM
    Stegman, MR
    Davies, KM
    Barber, S
    Recker, RR
    JOURNAL OF CLINICAL DENSITOMETRY, 2000, 3 (02) : 167 - 175
  • [38] Quantification of liver fat content in liver and primary liver lesions using triple-echo-gradient-echo MRI
    Nougaret, Stephanie
    Monsonis, Benjamin
    Molinari, Nicolas
    Riviere, Benjamin
    Piron, Lauranne
    Kassam, Zahra
    Cassinotto, Christophe
    Guiu, Boris
    EUROPEAN RADIOLOGY, 2020, 30 (09) : 4752 - 4761
  • [39] Validation of a standardized MRI method for liver fat and T2*quantification
    Hutton, Chloe
    Gyngell, Michael L.
    Milanesi, Matteo
    Bagur, Alexandre
    Brady, Michael
    PLOS ONE, 2018, 13 (09):
  • [40] A Pilot Comparative Study of Quantitative Ultrasound, Conventional Ultrasound, and MRI for Predicting Histology-Determined Steatosis Grade in Adult Nonalcoholic Fatty Liver Disease
    Paige, Jeremy S.
    Bernstein, Gregory S.
    Heba, Elhamy
    Costa, Eduardo A. C.
    Fereirra, Marilia
    Wolfson, Tanya
    Gamst, Anthony C.
    Valasek, Mark A.
    Lin, Grace Y.
    Han, Aiguo
    Erdman, John W., Jr.
    O'Brien, William D., Jr.
    Andre, Michael P.
    Loomba, Rohit
    Sirlin, Claude B.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2017, 208 (05) : W168 - W177