TY - JOUR
T1 - Linearity and bias of proton density fat fraction as a quantitative imaging biomarker
T2 - A multicenter, multiplatform, multivendor phantom study
AU - RSNA Quantitative Imaging Biomarkers Alliance PDFF Biomarker Committee
AU - Hu, Houchun H.
AU - Yokoo, Takeshi
AU - Bashir, Mustafa R.
AU - Sirlin, Claude B.
AU - Hernando, Diego
AU - Malyarenko, Dariya
AU - Chenevert, Thomas L.
AU - Smith, Mark A.
AU - Serai, Suraj D.
AU - Middleton, Michael S.
AU - Henderson, Walter C.
AU - Hamilton, Gavin
AU - Shaffer, Jean
AU - Shu, Yunhong
AU - Tkach, Jean A.
AU - Trout, Andrew T.
AU - Obuchowski, Nancy
AU - Brittain, Jean H.
AU - Jackson, Edward F.
AU - Reeder, Scott B.
N1 - Publisher Copyright:
© RSNA, 2021
PY - 2021/3
Y1 - 2021/3
N2 - 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 20.27% (95% CI: 20.50%, 20.05%). 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 20.65% to 0.18% (vendor protocols) and 20.69% to 20.17% (standardized protocol) at 1.5 T and 20.48% to 0.10% (vendor protocols) and 20.78% to 20.21% (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.
AB - 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 20.27% (95% CI: 20.50%, 20.05%). 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 20.65% to 0.18% (vendor protocols) and 20.69% to 20.17% (standardized protocol) at 1.5 T and 20.48% to 0.10% (vendor protocols) and 20.78% to 20.21% (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.
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U2 - 10.1148/radiol.2021202912
DO - 10.1148/radiol.2021202912
M3 - Article
C2 - 33464181
AN - SCOPUS:85101922073
SN - 0033-8419
VL - 298
SP - 640
EP - 651
JO - Radiology
JF - Radiology
IS - 3
ER -