Copyright
©The Author(s) 2023.
World J Gastroenterol. Jun 14, 2023; 29(22): 3548-3560
Published online Jun 14, 2023. doi: 10.3748/wjg.v29.i22.3548
Published online Jun 14, 2023. doi: 10.3748/wjg.v29.i22.3548
Figure 1 Hepato-renal index measurement with 6 mm wide regions of interest, at a depth of 9.
4 cm in liver right lobe and right kidney, University Hospital of Clermont-Ferrand.
Figure 2 Scatterplots.
A-D: Scatterplots showing linear relationship between sound speed estimation (A), attenuation coefficient (B), hepato-renal index (C) and continuous controlled attenuation parameter (D) with magnetic resonance imaging-proton density fat fraction using 6-echo gradient (P < 0.001). PDFF: Proton density fat fraction; cCAP: Continuous controlled attenuation parameter; SSE: Sound speed estimation; AC: Attenuation coefficient; HRI: Hepato-renal index.
Figure 3 Receiver operating curve.
A-D: Receiver operating curve for sound speed estimation (A), attenuation coefficient (B), continuous controlled attenuation parameter (C) and hepato-renal index (D). PDFF: Proton density fat fraction; cCAP: Continuous controlled attenuation parameter; SSE: Sound speed estimation; AC: Attenuation coefficient; HRI: Hepato-renal index.
Figure 4 Continuous controlled attenuation parameter area under the receiver operating characteristic curve for the diagnosis of steatosis according to SD.
PDFF: Proton density fat fraction; AUROC: Area under the receiver operating characteristic curve.
Figure 5 Ultrasound finding according to liver steatosis based on proton density fat fraction.
- Citation: Collin R, Magnin B, Gaillard C, Nicolas C, Abergel A, Buchard B. Prospective study comparing hepatic steatosis assessment by magnetic resonance imaging and four ultrasound methods in 105 successive patients. World J Gastroenterol 2023; 29(22): 3548-3560
- URL: https://www.wjgnet.com/1007-9327/full/v29/i22/3548.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i22.3548