Comparison of clinical semi-quantitative assessment of muscle fat infiltration with quantitative assessment using chemical shift-based water/fat separation in MR studies of the calf of post-menopausal women

Hamza Alizai, Lorenzo Nardo, Dimitrios C. Karampinos, Gabby B. Joseph, Samuel P. Yap, Thomas Baum, Roland Krug, Sharmila Majumdar, Thomas M. Link

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Objective The goal of this study was to compare the semiquantitative Goutallier classification for fat infiltration with quantitative fat-fraction derived from a magnetic resonance imaging (MRI) chemical shift-based water/fat separation technique. Methods Sixty-two women (age 61±6 years), 27 of whom had diabetes, underwent MRI of the calf using a T1- weighted fast spin-echo sequence and a six-echo spoiled gradient-echo sequence at 3 T. Water/fat images and fat fraction maps were reconstructed using the IDEAL algorithm with T2 correction and a multi-peak model for the fat spectrum. Two radiologists scored fat infiltration on the T1- weighted images using the Goutallier classification in six muscle compartments. Spearman correlations between the Goutallier grades and the fat fraction were calculated; in addition, intra-observer and inter-observer agreement were calculated. Results A significant correlation between the clinical grading and the fat fraction values was found for all muscle compartments (P<0.0001, R values ranging from 0.79 to 0.88). Goutallier grades 0-4 had a fat fraction ranging from 3.5 to 19%. Intra-observer and inter-observer agreement values of 0.83 and 0.81 were calculated for the semiquantitative grading. Conclusion Semi-quantitative grading of intramuscular fat and quantitative fat fraction were significantly correlated and both techniques had excellent reproducibility. However, the clinical grading was found to overestimate muscle fat. Key Points ̇ Fat infiltration of muscle commonly occurs in many metabolic and neuromuscular diseases. ̇ Image-based semi-quantitative classifications for assessing fat infiltration are not well validated. ̇ Quantitative MRI techniques provide an accurate assessment of muscle fat.

Original languageEnglish (US)
Pages (from-to)1592-1600
Number of pages9
JournalEuropean Radiology
Volume22
Issue number7
DOIs
StatePublished - Jul 1 2012
Externally publishedYes

Fingerprint

Fats
Muscles
Water
Magnetic Resonance Imaging
Neuromuscular Diseases
Metabolic Diseases

Keywords

  • Adipose tissue
  • Keywords Skeletal muscle
  • Magnetic resonance imaging
  • Metabolic syndrome
  • Neuromuscular disease
  • Sarcopenia

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Comparison of clinical semi-quantitative assessment of muscle fat infiltration with quantitative assessment using chemical shift-based water/fat separation in MR studies of the calf of post-menopausal women. / Alizai, Hamza; Nardo, Lorenzo; Karampinos, Dimitrios C.; Joseph, Gabby B.; Yap, Samuel P.; Baum, Thomas; Krug, Roland; Majumdar, Sharmila; Link, Thomas M.

In: European Radiology, Vol. 22, No. 7, 01.07.2012, p. 1592-1600.

Research output: Contribution to journalArticle

Alizai, Hamza ; Nardo, Lorenzo ; Karampinos, Dimitrios C. ; Joseph, Gabby B. ; Yap, Samuel P. ; Baum, Thomas ; Krug, Roland ; Majumdar, Sharmila ; Link, Thomas M. / Comparison of clinical semi-quantitative assessment of muscle fat infiltration with quantitative assessment using chemical shift-based water/fat separation in MR studies of the calf of post-menopausal women. In: European Radiology. 2012 ; Vol. 22, No. 7. pp. 1592-1600.
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abstract = "Objective The goal of this study was to compare the semiquantitative Goutallier classification for fat infiltration with quantitative fat-fraction derived from a magnetic resonance imaging (MRI) chemical shift-based water/fat separation technique. Methods Sixty-two women (age 61±6 years), 27 of whom had diabetes, underwent MRI of the calf using a T1- weighted fast spin-echo sequence and a six-echo spoiled gradient-echo sequence at 3 T. Water/fat images and fat fraction maps were reconstructed using the IDEAL algorithm with T2 correction and a multi-peak model for the fat spectrum. Two radiologists scored fat infiltration on the T1- weighted images using the Goutallier classification in six muscle compartments. Spearman correlations between the Goutallier grades and the fat fraction were calculated; in addition, intra-observer and inter-observer agreement were calculated. Results A significant correlation between the clinical grading and the fat fraction values was found for all muscle compartments (P<0.0001, R values ranging from 0.79 to 0.88). Goutallier grades 0-4 had a fat fraction ranging from 3.5 to 19{\%}. Intra-observer and inter-observer agreement values of 0.83 and 0.81 were calculated for the semiquantitative grading. Conclusion Semi-quantitative grading of intramuscular fat and quantitative fat fraction were significantly correlated and both techniques had excellent reproducibility. However, the clinical grading was found to overestimate muscle fat. Key Points ̇ Fat infiltration of muscle commonly occurs in many metabolic and neuromuscular diseases. ̇ Image-based semi-quantitative classifications for assessing fat infiltration are not well validated. ̇ Quantitative MRI techniques provide an accurate assessment of muscle fat.",
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AU - Alizai, Hamza

AU - Nardo, Lorenzo

AU - Karampinos, Dimitrios C.

AU - Joseph, Gabby B.

AU - Yap, Samuel P.

AU - Baum, Thomas

AU - Krug, Roland

AU - Majumdar, Sharmila

AU - Link, Thomas M.

PY - 2012/7/1

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N2 - Objective The goal of this study was to compare the semiquantitative Goutallier classification for fat infiltration with quantitative fat-fraction derived from a magnetic resonance imaging (MRI) chemical shift-based water/fat separation technique. Methods Sixty-two women (age 61±6 years), 27 of whom had diabetes, underwent MRI of the calf using a T1- weighted fast spin-echo sequence and a six-echo spoiled gradient-echo sequence at 3 T. Water/fat images and fat fraction maps were reconstructed using the IDEAL algorithm with T2 correction and a multi-peak model for the fat spectrum. Two radiologists scored fat infiltration on the T1- weighted images using the Goutallier classification in six muscle compartments. Spearman correlations between the Goutallier grades and the fat fraction were calculated; in addition, intra-observer and inter-observer agreement were calculated. Results A significant correlation between the clinical grading and the fat fraction values was found for all muscle compartments (P<0.0001, R values ranging from 0.79 to 0.88). Goutallier grades 0-4 had a fat fraction ranging from 3.5 to 19%. Intra-observer and inter-observer agreement values of 0.83 and 0.81 were calculated for the semiquantitative grading. Conclusion Semi-quantitative grading of intramuscular fat and quantitative fat fraction were significantly correlated and both techniques had excellent reproducibility. However, the clinical grading was found to overestimate muscle fat. Key Points ̇ Fat infiltration of muscle commonly occurs in many metabolic and neuromuscular diseases. ̇ Image-based semi-quantitative classifications for assessing fat infiltration are not well validated. ̇ Quantitative MRI techniques provide an accurate assessment of muscle fat.

AB - Objective The goal of this study was to compare the semiquantitative Goutallier classification for fat infiltration with quantitative fat-fraction derived from a magnetic resonance imaging (MRI) chemical shift-based water/fat separation technique. Methods Sixty-two women (age 61±6 years), 27 of whom had diabetes, underwent MRI of the calf using a T1- weighted fast spin-echo sequence and a six-echo spoiled gradient-echo sequence at 3 T. Water/fat images and fat fraction maps were reconstructed using the IDEAL algorithm with T2 correction and a multi-peak model for the fat spectrum. Two radiologists scored fat infiltration on the T1- weighted images using the Goutallier classification in six muscle compartments. Spearman correlations between the Goutallier grades and the fat fraction were calculated; in addition, intra-observer and inter-observer agreement were calculated. Results A significant correlation between the clinical grading and the fat fraction values was found for all muscle compartments (P<0.0001, R values ranging from 0.79 to 0.88). Goutallier grades 0-4 had a fat fraction ranging from 3.5 to 19%. Intra-observer and inter-observer agreement values of 0.83 and 0.81 were calculated for the semiquantitative grading. Conclusion Semi-quantitative grading of intramuscular fat and quantitative fat fraction were significantly correlated and both techniques had excellent reproducibility. However, the clinical grading was found to overestimate muscle fat. Key Points ̇ Fat infiltration of muscle commonly occurs in many metabolic and neuromuscular diseases. ̇ Image-based semi-quantitative classifications for assessing fat infiltration are not well validated. ̇ Quantitative MRI techniques provide an accurate assessment of muscle fat.

KW - Adipose tissue

KW - Keywords Skeletal muscle

KW - Magnetic resonance imaging

KW - Metabolic syndrome

KW - Neuromuscular disease

KW - Sarcopenia

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