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Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study.

Publication ,  Journal Article
Hu, HH; Yokoo, T; Bashir, MR; Sirlin, CB; Hernando, D; Malyarenko, D; Chenevert, TL; Smith, MA; Serai, SD; Middleton, MS; Henderson, WC ...
Published in: Radiology
March 2021

Background Proton density fat fraction (PDFF) estimated by using chemical shift-encoded (CSE) MRI is an accepted imaging biomarker of hepatic steatosis. This work aims to promote standardized use of CSE MRI to estimate PDFF. Purpose To assess the accuracy of CSE MRI methods for estimating PDFF by determining the linearity and range of bias observed in a phantom. Materials and Methods In this prospective study, a commercial phantom with 12 vials of known PDFF values were shipped across nine U.S. centers. The phantom underwent 160 independent MRI examinations on 27 1.5-T and 3.0-T systems from three vendors. Two three-dimensional CSE MRI protocols with minimal T1 bias were included: vendor and standardized. Each vendor's confounder-corrected complex or hybrid magnitude-complex based reconstruction algorithm was used to generate PDFF maps in both protocols. The Siemens reconstruction required a configuration change to correct for water-fat swaps in the phantom. The MRI PDFF values were compared with the known PDFF values by using linear regression with mixed-effects modeling. The 95% CIs were calculated for the regression slope (ie, proportional bias) and intercept (ie, constant bias) and compared with the null hypothesis (slope = 1, intercept = 0). Results Pooled regression slope for estimated PDFF values versus phantom-derived reference PDFF values was 0.97 (95% CI: 0.96, 0.98) in the biologically relevant 0%-47.5% PDFF range. The corresponding pooled intercept was -0.27% (95% CI: -0.50%, -0.05%). Across vendors, slope ranges were 0.86-1.02 (vendor protocols) and 0.97-1.0 (standardized protocol) at 1.5 T and 0.91-1.01 (vendor protocols) and 0.87-1.01 (standardized protocol) at 3.0 T. The intercept ranges (absolute PDFF percentage) were -0.65% to 0.18% (vendor protocols) and -0.69% to -0.17% (standardized protocol) at 1.5 T and -0.48% to 0.10% (vendor protocols) and -0.78% to -0.21% (standardized protocol) at 3.0 T. Conclusion Proton density fat fraction estimation derived from three-dimensional chemical shift-encoded MRI in a commercial phantom was accurate across vendors, imaging centers, and field strengths, with use of the vendors' product acquisition and reconstruction software. © RSNA, 2021 See also the editorial by Dyke in this issue.

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Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

March 2021

Volume

298

Issue

3

Start / End Page

640 / 651

Location

United States

Related Subject Headings

  • United States
  • Reproducibility of Results
  • Protons
  • Prospective Studies
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
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Hu, H. H., Yokoo, T., Bashir, M. R., Sirlin, C. B., Hernando, D., Malyarenko, D., … RSNA Quantitative Imaging Biomarkers Alliance PDFF Biomarker Committee. (2021). Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study. Radiology, 298(3), 640–651. https://doi.org/10.1148/radiol.2021202912
Hu, Houchun H., Takeshi Yokoo, Mustafa R. Bashir, Claude B. Sirlin, Diego Hernando, Dariya Malyarenko, Thomas L. Chenevert, et al. “Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study.Radiology 298, no. 3 (March 2021): 640–51. https://doi.org/10.1148/radiol.2021202912.
Hu HH, Yokoo T, Bashir MR, Sirlin CB, Hernando D, Malyarenko D, et al. Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study. Radiology. 2021 Mar;298(3):640–51.
Hu, Houchun H., et al. “Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study.Radiology, vol. 298, no. 3, Mar. 2021, pp. 640–51. Pubmed, doi:10.1148/radiol.2021202912.
Hu HH, Yokoo T, Bashir MR, Sirlin CB, Hernando D, Malyarenko D, Chenevert TL, Smith MA, Serai SD, Middleton MS, Henderson WC, Hamilton G, Shaffer J, Shu Y, Tkach JA, Trout AT, Obuchowski N, Brittain JH, Jackson EF, Reeder SB, RSNA Quantitative Imaging Biomarkers Alliance PDFF Biomarker Committee. Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study. Radiology. 2021 Mar;298(3):640–651.

Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

March 2021

Volume

298

Issue

3

Start / End Page

640 / 651

Location

United States

Related Subject Headings

  • United States
  • Reproducibility of Results
  • Protons
  • Prospective Studies
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans