Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach

Prospective validation against MR spectroscopy

Mustafa R. Bashir, Xiaodong Zhong, Marcel D. Nickel, Ghaneh Fananapazir, Stephan A R Kannengiesser, Berthold Kiefer, Brian M. Dale

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

OBJECTIVE. The purpose of this study is to prospectively compare hybrid and complex chemical shift-based MRI fat quantification methods against MR spectroscopy (MRS) lor the measurement of hepatic steatosis. SUBJECTS AND METHODS. Forty-two subjects (18 men and 24 women; mean ± SD age, 52.8 ± 14 years) were prospectively enrolled and imaged at 3 T with a chemical shift-based MRI sequence and a single-voxel MRS sequence, each in one breath-hold, Proton density fat fraction and rate constant (R<inf>2</inf>∗) using both single-and dual-R<inf>2</inf>∗ hybrid lilting methods, as well as proton density fat fraction and R<inf>2</inf>∗ maps using a complex lilting method, were generated. A single radiologist colocalized volumes of interest on the proton density fat fraction and R<inf>2</inf>∗ maps according to the spectroscopy measurement voxel. Agreement among the three MRI methods and the MRS proton density fat fraction values was assessed using linear regression, intraclass correlation coefficient (ICC), and Bland-Altman analysis. RESULTS. Correlation between the MRI and MRS measures of proton density fat fraction was excellent. Linear regression coefficients ranged from 0,98 to 1.01, and intercepts ranged from-1,12% to 0.49%, Agreement measured by ICC was also excellent (0.99 for all three methods). Bland-Altman analysis showed excellent agreement, with mean differences of-1.0% to 0.6% (SD, 1.3-1.6%). CONCLUSION. The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate. The validation of proton density tat traction quantification methods is an important step toward wide availability and acceptance of the MRI-based measurement of proton density fat fraction as an accurate and generalizable hioinarker.

Original languageEnglish (US)
Pages (from-to)297-306
Number of pages10
JournalAmerican Journal of Roentgenology
Volume204
Issue number2
DOIs
StatePublished - Feb 1 2015
Externally publishedYes

Fingerprint

Protons
Magnetic Resonance Spectroscopy
Fats
Liver
Linear Models
Traction
Spectrum Analysis

Keywords

  • Fat fraction
  • Hepatic steatosis
  • Proton density fat fraction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach : Prospective validation against MR spectroscopy. / Bashir, Mustafa R.; Zhong, Xiaodong; Nickel, Marcel D.; Fananapazir, Ghaneh; Kannengiesser, Stephan A R; Kiefer, Berthold; Dale, Brian M.

In: American Journal of Roentgenology, Vol. 204, No. 2, 01.02.2015, p. 297-306.

Research output: Contribution to journalArticle

Bashir, Mustafa R. ; Zhong, Xiaodong ; Nickel, Marcel D. ; Fananapazir, Ghaneh ; Kannengiesser, Stephan A R ; Kiefer, Berthold ; Dale, Brian M. / Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach : Prospective validation against MR spectroscopy. In: American Journal of Roentgenology. 2015 ; Vol. 204, No. 2. pp. 297-306.
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abstract = "OBJECTIVE. The purpose of this study is to prospectively compare hybrid and complex chemical shift-based MRI fat quantification methods against MR spectroscopy (MRS) lor the measurement of hepatic steatosis. SUBJECTS AND METHODS. Forty-two subjects (18 men and 24 women; mean ± SD age, 52.8 ± 14 years) were prospectively enrolled and imaged at 3 T with a chemical shift-based MRI sequence and a single-voxel MRS sequence, each in one breath-hold, Proton density fat fraction and rate constant (R2∗) using both single-and dual-R2∗ hybrid lilting methods, as well as proton density fat fraction and R2∗ maps using a complex lilting method, were generated. A single radiologist colocalized volumes of interest on the proton density fat fraction and R2∗ maps according to the spectroscopy measurement voxel. Agreement among the three MRI methods and the MRS proton density fat fraction values was assessed using linear regression, intraclass correlation coefficient (ICC), and Bland-Altman analysis. RESULTS. Correlation between the MRI and MRS measures of proton density fat fraction was excellent. Linear regression coefficients ranged from 0,98 to 1.01, and intercepts ranged from-1,12{\%} to 0.49{\%}, Agreement measured by ICC was also excellent (0.99 for all three methods). Bland-Altman analysis showed excellent agreement, with mean differences of-1.0{\%} to 0.6{\%} (SD, 1.3-1.6{\%}). CONCLUSION. The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate. The validation of proton density tat traction quantification methods is an important step toward wide availability and acceptance of the MRI-based measurement of proton density fat fraction as an accurate and generalizable hioinarker.",
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T1 - Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach

T2 - Prospective validation against MR spectroscopy

AU - Bashir, Mustafa R.

AU - Zhong, Xiaodong

AU - Nickel, Marcel D.

AU - Fananapazir, Ghaneh

AU - Kannengiesser, Stephan A R

AU - Kiefer, Berthold

AU - Dale, Brian M.

PY - 2015/2/1

Y1 - 2015/2/1

N2 - OBJECTIVE. The purpose of this study is to prospectively compare hybrid and complex chemical shift-based MRI fat quantification methods against MR spectroscopy (MRS) lor the measurement of hepatic steatosis. SUBJECTS AND METHODS. Forty-two subjects (18 men and 24 women; mean ± SD age, 52.8 ± 14 years) were prospectively enrolled and imaged at 3 T with a chemical shift-based MRI sequence and a single-voxel MRS sequence, each in one breath-hold, Proton density fat fraction and rate constant (R2∗) using both single-and dual-R2∗ hybrid lilting methods, as well as proton density fat fraction and R2∗ maps using a complex lilting method, were generated. A single radiologist colocalized volumes of interest on the proton density fat fraction and R2∗ maps according to the spectroscopy measurement voxel. Agreement among the three MRI methods and the MRS proton density fat fraction values was assessed using linear regression, intraclass correlation coefficient (ICC), and Bland-Altman analysis. RESULTS. Correlation between the MRI and MRS measures of proton density fat fraction was excellent. Linear regression coefficients ranged from 0,98 to 1.01, and intercepts ranged from-1,12% to 0.49%, Agreement measured by ICC was also excellent (0.99 for all three methods). Bland-Altman analysis showed excellent agreement, with mean differences of-1.0% to 0.6% (SD, 1.3-1.6%). CONCLUSION. The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate. The validation of proton density tat traction quantification methods is an important step toward wide availability and acceptance of the MRI-based measurement of proton density fat fraction as an accurate and generalizable hioinarker.

AB - OBJECTIVE. The purpose of this study is to prospectively compare hybrid and complex chemical shift-based MRI fat quantification methods against MR spectroscopy (MRS) lor the measurement of hepatic steatosis. SUBJECTS AND METHODS. Forty-two subjects (18 men and 24 women; mean ± SD age, 52.8 ± 14 years) were prospectively enrolled and imaged at 3 T with a chemical shift-based MRI sequence and a single-voxel MRS sequence, each in one breath-hold, Proton density fat fraction and rate constant (R2∗) using both single-and dual-R2∗ hybrid lilting methods, as well as proton density fat fraction and R2∗ maps using a complex lilting method, were generated. A single radiologist colocalized volumes of interest on the proton density fat fraction and R2∗ maps according to the spectroscopy measurement voxel. Agreement among the three MRI methods and the MRS proton density fat fraction values was assessed using linear regression, intraclass correlation coefficient (ICC), and Bland-Altman analysis. RESULTS. Correlation between the MRI and MRS measures of proton density fat fraction was excellent. Linear regression coefficients ranged from 0,98 to 1.01, and intercepts ranged from-1,12% to 0.49%, Agreement measured by ICC was also excellent (0.99 for all three methods). Bland-Altman analysis showed excellent agreement, with mean differences of-1.0% to 0.6% (SD, 1.3-1.6%). CONCLUSION. The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate. The validation of proton density tat traction quantification methods is an important step toward wide availability and acceptance of the MRI-based measurement of proton density fat fraction as an accurate and generalizable hioinarker.

KW - Fat fraction

KW - Hepatic steatosis

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