Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom

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  • Diego Hernando
    Department of Radiology; University of Wisconsin; Madison Wisconsin USA
  • Samir D. Sharma
    Department of Radiology; University of Wisconsin; Madison Wisconsin USA
  • Mounes Aliyari Ghasabeh
    Department of Radiology; The Johns Hopkins University; Baltimore Maryland USA
  • Bret D. Alvis
    Department of Anesthesiology; Vanderbilt University; Nashville Tennessee USA
  • Sandeep S. Arora
    Department of Radiology and Radiological Sciences; Vanderbilt University; Nashville Tennessee USA
  • Gavin Hamilton
    Department of Radiology; University of California; San Diego California USA
  • Li Pan
    Siemens Healthcare; Baltimore Maryland USA
  • Jean M. Shaffer
    Department of Radiology; Duke University; Durham North Carolina USA
  • Keitaro Sofue
    Department of Radiology; Duke University; Durham North Carolina USA
  • Nikolaus M. Szeverenyi
    Department of Radiology; University of California; San Diego California USA
  • E. Brian Welch
    Department of Radiology and Radiological Sciences; Vanderbilt University; Nashville Tennessee USA
  • Qing Yuan
    Department of Radiology; University of Texas Southwestern Medical Center; Dallas Texas USA
  • Mustafa R. Bashir
    Department of Radiology; Duke University; Durham North Carolina USA
  • Ihab R. Kamel
    Department of Radiology; The Johns Hopkins University; Baltimore Maryland USA
  • Mark J. Rice
    Department of Anesthesiology; Vanderbilt University; Nashville Tennessee USA
  • Claude B. Sirlin
    Department of Radiology; University of California; San Diego California USA
  • Takeshi Yokoo
    Department of Radiology; University of Texas Southwestern Medical Center; Dallas Texas USA
  • Scott B. Reeder
    Department of Radiology; University of Wisconsin; Madison Wisconsin USA

書誌事項

タイトル別名
  • Proton-Density Fat-Fraction Quantification at 1.5T and 3T
公開日
2016-04-15
権利情報
  • http://doi.wiley.com/10.1002/tdm_license_1
  • http://onlinelibrary.wiley.com/termsAndConditions
DOI
  • 10.1002/mrm.26228
公開者
Wiley

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説明

To evaluate the accuracy and reproducibility of quantitative chemical shift-encoded (CSE) MRI to quantify proton-density fat-fraction (PDFF) in a fat-water phantom across sites, vendors, field strengths, and protocols.Six sites (Philips, Siemens, and GE Healthcare) participated in this study. A phantom containing multiple vials with various oil/water suspensions (PDFF:0%-100%) was built, shipped to each site, and scanned at 1.5T and 3T using two CSE protocols per field strength. Confounder-corrected PDFF maps were reconstructed using a common algorithm. To assess accuracy, PDFF bias and linear regression with the known PDFF were calculated. To assess reproducibility, measurements were compared across sites, vendors, field strengths, and protocols using analysis of covariance (ANCOVA), Bland-Altman analysis, and the intraclass correlation coefficient (ICC).PDFF measurements revealed an overall absolute bias (across sites, field strengths, and protocols) of 0.22% (95% confidence interval, 0.07%-0.38%) and R2  > 0.995 relative to the known PDFF at each site, field strength, and protocol, with a slope between 0.96 and 1.02 and an intercept between -0.56% and 1.13%. ANCOVA did not reveal effects of field strength (P = 0.36) or protocol (P = 0.19). There was a significant effect of vendor (F = 25.13, P = 1.07 × 10-10 ) with a bias of -0.37% (Philips) and -1.22% (Siemens) relative to GE Healthcare. The overall ICC was 0.999.CSE-based fat quantification is accurate and reproducible across sites, vendors, field strengths, and protocols. Magn Reson Med 77:1516-1524, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

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