Retrospective comparison of liver chemical shift-encoded PDFF sampling strategies in children and adolescents
- PMID: 35864263
- DOI: 10.1007/s00261-022-03615-0
Retrospective comparison of liver chemical shift-encoded PDFF sampling strategies in children and adolescents
Abstract
Introduction: Multiple region-of-interest (ROI) sampling strategies have been described for liver fat quantification by MRI PDFF. While adult studies have shown that sampling strategies including as few as four ROIs provide a reasonable tradeoff between laboriousness and quantitative performance, there is a paucity of similar data for pediatric patients.
Purpose: To assess agreement between different ROI sampling strategies for liver MRI PDFF analysis in children and adolescents.
Materials and methods: This retrospective, internal review board-approved study included clinical MRI PDFF acquisitions for 50 children and adolescents. Four different ROI sampling paradigms reported in the literature were reproduced to measure mean liver PDFF. An 18-ROI (2 in each Couinaud segment) paradigm was considered the reference standard. Spearman correlation, intraclass correlation coefficients (ICCs), and Bland-Altman analyses were used to quantify agreement.
Results: Mean age for the 50 participants was 14 ± 2.5 years (range 8-17 years). Based on the 18-ROI paradigm, mean PDFF was significantly higher for the right lobe (24.0 ± 13.7% right, 22.0 ± 13.1% left; p = 0.001). PDFF values for each individual Couinaud segment were highly correlated with the reference standard (ρ = 0.977 to 0.993, p < 0.0001). PDFF values derived from all sampling paradigms, including strategies using large free-hand ROIs, were strongly correlated with the reference standard (ρ = 0.995 to 0.998, p < 0.0001) with excellent agreement (ICC range 0.995 to 0.998).
Conclusion: Liver PDFF sampling paradigms using large ROIs showed strong correlation, excellent agreement, and nonsignificant mean differences from a reference standard paradigm sampling every Couinaud segment in children. Paradigms that exclusively sample the right lobe may overestimate liver PDFF.
Keywords: Adolescents; Children; Liver, PDFF; MRI; Pediatric; Steatosis, region-of-interest.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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References
-
- M. B. Vos et al., “NASPGHAN Clinical Practice Guideline for the Diagnosis and Treatment of Nonalcoholic Fatty Liver Disease in Children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN),” J. Pediatr. Gastroenterol. Nutr., vol. 64, no. 2, p. 319, Feb. 2017, https://doi.org/10.1097/MPG.0000000000001482 . - DOI - PubMed - PMC
-
- A. Tang et al., “Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis,” Radiology, vol. 267, no. 2, pp. 422–431, 2013, https://doi.org/10.1148/radiol.12120896 . - DOI - PubMed - PMC
-
- K. N. Vu, G. Gilbert, M. Chalut, M. Chagnon, G. Chartrand, and A. Tang, “MRI-determined liver proton density fat fraction, with MRS validation: Comparison of regions of interest sampling methods in patients with type 2 diabetes,” J. Magn. Reson. Imaging, vol. 43, no. 5, pp. 1090–1099, 2016, https://doi.org/10.1002/jmri.25083 . - DOI - PubMed
-
- C. W. Hong et al., “Repeatability and accuracy of various region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification,” Abdom. Radiol., vol. 46, no. 7, pp. 3105–3116, 2021, https://doi.org/10.1007/s00261-021-02965-5 . - DOI
-
- C. A. Campo, D. Hernando, T. Schubert, C. A. Bookwalter, A. J. Van Pay, and S. B. Reeder, “Standardized approach for ROI-based measurements of proton density fat fraction and r2 in the liver,” Am. J. Roentgenol., vol. 209, no. 3, pp. 592–603, Sep. 2017, https://doi.org/10.2214/AJR.17.17812 . - DOI
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