Liver Fat Quantification With Ultrasound: Depth Dependence of Attenuation Coefficient

被引：2
作者：
Ferraioli G. [1 ]
Raimondi A. [1 ,2 ]
Maiocchi L. [2 ]
De Silvestri A. [3 ]
Poma G. [2 ]
Kumar V. [4 ]
Barr R.G. [5 ]
机构：
[1] Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia
[2] Ultrasound Unit, Fondazione IRCCS Policlinico S. Matteo, Pavia
[3] Clinical Epidemiology and Biometric Unit, Fondazione IRCCS Policlinico S. Matteo, Pavia
[4] Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, MA
[5] Department of Radiology, Northeastern Ohio Medical University, Rootstown
[6] Southwoods Imaging, Youngstown, OH
来源：
Journal of Ultrasound in Medicine | 2023年 / 42卷 / 10期
关键词：
ATI; attenuation coefficient; fat quantification; liver steatosis; NAFLD; ROI depth; ROI size; UDFF;
D O I：
10.1002/jum.16242
中图分类号：
学科分类号：
摘要：
Objectives: The primary aim was to estimate the influence of various depths on ultrasound attenuation coefficient (AC) of multiple vendors in the liver. The secondary aim was to evaluate the impact of region of interest (ROI) size on AC measurements in a subset of participants. Methods: This Institutional Review Board (IRB)-approved Health Insurance Portability and Accountability Act (HIPAA)-compliant retrospective study was carried out in two centers using AC-Canon and AC-Philips algorithms and extracting AC-Siemens values from ultrasound-derived fat fraction algorithm. Measurements were performed positioning ROI upper edge (3 cm size) at 2, 3, 4, 5 cm from the liver capsule with AC-Canon and AC-Philips and at 1.5, 2, 3 cm with Siemens algorithm. In a subset of participants, measurements were obtained with 1 and 3 cm ROI size. Univariate and multivariate linear regression models and Lin's concordance correlation coefficient (CCC) were used for statistical analysis as appropriate. Results: Three different cohorts were studied. Sixty-three participants (34 females; mean age: 51 ± 14 years) were studied with AC-Canon, 60 (46 females; mean age: 57 ± 11 years) with AC-Philips, and 50 (25 females; 61 ± 13 years) with AC-Siemens. There was a decrease in AC values per 1 cm increase in depth in all. In multivariable analysis, the coefficient was −0.049 (−0.060; −0.038 P <.001) with AC-Canon, −0.058 (−0.066; −0.049 P <.001) with AC-Philips and −0.081 (−0.112; −0.050 P <.001) with AC-Siemens. AC values with 1 cm ROI were significantly higher than those obtained with 3 cm ROI at all depths (P <.001) but the agreement between AC values obtained with different ROI size was excellent (CCC 0.82 [0.77–0.88]). Conclusions: There is depth dependence in AC measurement that affects results. A standardized protocol with fixed ROI's depth and size is needed. © 2023 The Authors. Journal of Ultrasound in Medicine published by Wiley Periodicals LLC on behalf of American Institute of Ultrasound in Medicine.
引用
收藏
页码：2247 / 2255
页数：8
相关论文
共 13 条
  • [1] Riazi K., Azhari H., Charette J.H., Et al., The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis, Lancet Gastroenterol Hepatol, 7, pp. 851-861, (2022)
  • [2] Kneeman J.M., Misdraji J., Corey K.E., Secondary causes of nonalcoholic fatty liver disease, Therap Adv Gastroenterol, 5, pp. 199-207, (2012)
  • [3] Ferraioli G., Berzigotti A., Barr R.G., Et al., Quantification of liver fat content with ultrasound: a WFUMB position paper, Ultrasound Med Biol, 47, pp. 2803-2820, (2021)
  • [4] Ferraioli G., Kumar V., Ozturk A., Nam K., de Korte C., Barr R.G., Ultrasound attenuation for liver fat quantification: an AIUM-RSNA QIBA pulse echo quantitative ultrasound (PEQUS) initiative, Radiology, 302, pp. 495-506, (2022)
  • [5] Ferraioli G., Soares Monteiro L.B., Ultrasound-based techniques for the diagnosis of liver steatosis, World J Gastroenterol, 25, pp. 6053-6062, (2019)
  • [6] Ferraioli G., Maiocchi L., Raciti M.V., Et al., Detection of liver steatosis with a novel ultrasound-based technique: a pilot study using MRI-derived proton density fat fraction as the gold standard, Clin Transl Gastroenterol, 10, (2019)
  • [7] Ferraioli G., Maiocchi L., Savietto G., Et al., Performance of the attenuation imaging technology in the detection of liver steatosis, J Ultrasound Med, 40, pp. 1325-1332, (2021)
  • [8] Barr R.G., Cestone A., De Silvestri A., A pre-release algorithm with a confidence map for estimating the attenuation coefficient for liver fat quantification, J Ultrasound Med, 41, pp. 1939-1948, (2022)
  • [9] Harrell F.E., Regression Modeling Strategies, (2001)
  • [10] Lin L.I.-K., A concordance correlation coefficient to evaluate reproducibility, Biometrics, 45, pp. 255-268, (1989)
12