MRI and the distribution of bone marrow fat in hip osteoarthritis

Jennifer S Gregory, Rebecca J Barr, Victor Varela, Trevor S Ahearn, Jennifer Lee Gardiner, Fiona J Gilbert, Thomas W Redpath, James D Hutchison, Richard M Aspden

Research output: Contribution to journalArticle

2 Citations (Scopus)
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Abstract

Purpose

To characterize the distribution of bone marrow fat in hip osteoarthritis (OA) using magnetic resonance imaging (MRI) and to assess its use as a potential biomarker.

Materials and Methods

In all, 67 subjects (39 female, 28 male) with either total hip replacement (THA) or different severities of radiographic OA, assessed by Kellgren–Lawrence grading (KLG), underwent 3T MRI of the pelvis using the IDEAL sequence to separate fat and water signals. Six regions of interest (ROIs) were identified within the proximal femur. Within each ROI the fractional-fat distribution, represented by pixel intensities, was described by its mean, standard deviation, skewness, kurtosis, and entropy.ResultsHips were graded: 12 as severe symptomatic (THA), 33 had KLG0 or 1, 9 were KLG2, 11 with KLG3, and 2 with KLG4 were analyzed together. The fractional-fat content in the whole proximal femur did not vary with severity in males (mean (SD) 91.2 (6.0)%) but reduced with severity in females from 89.1 (6.7)% (KLG0,1), 91.5 (2.9)% (KLG2), 85.8 (16.7)% (KLG3,4) to 77.5 (11.9)% (THA) (analysis of variance [ANOVA] P = 0.029). These differences were most pronounced in the femoral head, where mean values fell with OA severity in both sexes from 97.9% (2.5%) (KLG0,1) to 73.0% (25.9%) (THA, P < 0.001) with the largest difference at the final stage. The standard deviation and the entropy of the distribution both increased (P < 0.001).

Conclusion

Descriptors of the fractional fat distribution varied little with the severity of OA until the most severe stage, when changes appeared mainly in the femoral head, and have, therefore, limited value as biomarkers.

Original languageEnglish
Pages (from-to)42–50
Number of pages9
JournalJournal of Magnetic Resonance Imaging
Volume45
Issue number1
Early online date2 Jun 2016
DOIs
Publication statusPublished - 1 Jan 2017

Fingerprint

Hip Osteoarthritis
Hip Replacement Arthroplasties
Bone Marrow
Fats
Magnetic Resonance Imaging
Osteoarthritis
Entropy
Thigh
Femur
Biomarkers
Pelvis
Analysis of Variance
Water

Keywords

  • osteoarthritis
  • hip
  • intramedullary fat
  • fractional fat content
  • imaging biomarker

Cite this

MRI and the distribution of bone marrow fat in hip osteoarthritis. / Gregory, Jennifer S; Barr, Rebecca J; Varela, Victor; Ahearn, Trevor S; Gardiner, Jennifer Lee; Gilbert, Fiona J; Redpath, Thomas W; Hutchison, James D; Aspden, Richard M.

In: Journal of Magnetic Resonance Imaging, Vol. 45, No. 1, 01.01.2017, p. 42–50 .

Research output: Contribution to journalArticle

Gregory, Jennifer S ; Barr, Rebecca J ; Varela, Victor ; Ahearn, Trevor S ; Gardiner, Jennifer Lee ; Gilbert, Fiona J ; Redpath, Thomas W ; Hutchison, James D ; Aspden, Richard M. / MRI and the distribution of bone marrow fat in hip osteoarthritis. In: Journal of Magnetic Resonance Imaging. 2017 ; Vol. 45, No. 1. pp. 42–50 .
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abstract = "PurposeTo characterize the distribution of bone marrow fat in hip osteoarthritis (OA) using magnetic resonance imaging (MRI) and to assess its use as a potential biomarker.Materials and MethodsIn all, 67 subjects (39 female, 28 male) with either total hip replacement (THA) or different severities of radiographic OA, assessed by Kellgren–Lawrence grading (KLG), underwent 3T MRI of the pelvis using the IDEAL sequence to separate fat and water signals. Six regions of interest (ROIs) were identified within the proximal femur. Within each ROI the fractional-fat distribution, represented by pixel intensities, was described by its mean, standard deviation, skewness, kurtosis, and entropy.ResultsHips were graded: 12 as severe symptomatic (THA), 33 had KLG0 or 1, 9 were KLG2, 11 with KLG3, and 2 with KLG4 were analyzed together. The fractional-fat content in the whole proximal femur did not vary with severity in males (mean (SD) 91.2 (6.0){\%}) but reduced with severity in females from 89.1 (6.7){\%} (KLG0,1), 91.5 (2.9){\%} (KLG2), 85.8 (16.7){\%} (KLG3,4) to 77.5 (11.9){\%} (THA) (analysis of variance [ANOVA] P = 0.029). These differences were most pronounced in the femoral head, where mean values fell with OA severity in both sexes from 97.9{\%} (2.5{\%}) (KLG0,1) to 73.0{\%} (25.9{\%}) (THA, P < 0.001) with the largest difference at the final stage. The standard deviation and the entropy of the distribution both increased (P < 0.001).ConclusionDescriptors of the fractional fat distribution varied little with the severity of OA until the most severe stage, when changes appeared mainly in the femoral head, and have, therefore, limited value as biomarkers.",
keywords = "osteoarthritis, hip, intramedullary fat, fractional fat content, imaging biomarker",
author = "Gregory, {Jennifer S} and Barr, {Rebecca J} and Victor Varela and Ahearn, {Trevor S} and Gardiner, {Jennifer Lee} and Gilbert, {Fiona J} and Redpath, {Thomas W} and Hutchison, {James D} and Aspden, {Richard M}",
note = "Grant support This study was supported by an award (Ref: WHMSB-AU119) from the Translational Medicine Research Collaboration – a consortium made up of the Universities of Aberdeen, Dundee, Edinburgh and Glasgow, the four associated NHS Health Boards (Grampian, Tayside, Lothian and Greater Glasgow & Clyde), Scottish Enterprise and Wyeth. The funder played no part in the design, execution, analysis or publication of this paper. Acknowledgements We are grateful to Mrs D. Younie for kindly arranging the imaging sessions and Mrs B.MacLennan (research radiographer) for acquiring the MR images. We also thank Dr S. Galea-Soler, Dr G. Waiter, Dr.Zhiqing Wu, and Dr K. Yoshida for Kellgren-Lawrence grading, help and advice, and Mr G. Buchan for his expertise making the phantoms.",
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T1 - MRI and the distribution of bone marrow fat in hip osteoarthritis

AU - Gregory, Jennifer S

AU - Barr, Rebecca J

AU - Varela, Victor

AU - Ahearn, Trevor S

AU - Gardiner, Jennifer Lee

AU - Gilbert, Fiona J

AU - Redpath, Thomas W

AU - Hutchison, James D

AU - Aspden, Richard M

N1 - Grant support This study was supported by an award (Ref: WHMSB-AU119) from the Translational Medicine Research Collaboration – a consortium made up of the Universities of Aberdeen, Dundee, Edinburgh and Glasgow, the four associated NHS Health Boards (Grampian, Tayside, Lothian and Greater Glasgow & Clyde), Scottish Enterprise and Wyeth. The funder played no part in the design, execution, analysis or publication of this paper. Acknowledgements We are grateful to Mrs D. Younie for kindly arranging the imaging sessions and Mrs B.MacLennan (research radiographer) for acquiring the MR images. We also thank Dr S. Galea-Soler, Dr G. Waiter, Dr.Zhiqing Wu, and Dr K. Yoshida for Kellgren-Lawrence grading, help and advice, and Mr G. Buchan for his expertise making the phantoms.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - PurposeTo characterize the distribution of bone marrow fat in hip osteoarthritis (OA) using magnetic resonance imaging (MRI) and to assess its use as a potential biomarker.Materials and MethodsIn all, 67 subjects (39 female, 28 male) with either total hip replacement (THA) or different severities of radiographic OA, assessed by Kellgren–Lawrence grading (KLG), underwent 3T MRI of the pelvis using the IDEAL sequence to separate fat and water signals. Six regions of interest (ROIs) were identified within the proximal femur. Within each ROI the fractional-fat distribution, represented by pixel intensities, was described by its mean, standard deviation, skewness, kurtosis, and entropy.ResultsHips were graded: 12 as severe symptomatic (THA), 33 had KLG0 or 1, 9 were KLG2, 11 with KLG3, and 2 with KLG4 were analyzed together. The fractional-fat content in the whole proximal femur did not vary with severity in males (mean (SD) 91.2 (6.0)%) but reduced with severity in females from 89.1 (6.7)% (KLG0,1), 91.5 (2.9)% (KLG2), 85.8 (16.7)% (KLG3,4) to 77.5 (11.9)% (THA) (analysis of variance [ANOVA] P = 0.029). These differences were most pronounced in the femoral head, where mean values fell with OA severity in both sexes from 97.9% (2.5%) (KLG0,1) to 73.0% (25.9%) (THA, P < 0.001) with the largest difference at the final stage. The standard deviation and the entropy of the distribution both increased (P < 0.001).ConclusionDescriptors of the fractional fat distribution varied little with the severity of OA until the most severe stage, when changes appeared mainly in the femoral head, and have, therefore, limited value as biomarkers.

AB - PurposeTo characterize the distribution of bone marrow fat in hip osteoarthritis (OA) using magnetic resonance imaging (MRI) and to assess its use as a potential biomarker.Materials and MethodsIn all, 67 subjects (39 female, 28 male) with either total hip replacement (THA) or different severities of radiographic OA, assessed by Kellgren–Lawrence grading (KLG), underwent 3T MRI of the pelvis using the IDEAL sequence to separate fat and water signals. Six regions of interest (ROIs) were identified within the proximal femur. Within each ROI the fractional-fat distribution, represented by pixel intensities, was described by its mean, standard deviation, skewness, kurtosis, and entropy.ResultsHips were graded: 12 as severe symptomatic (THA), 33 had KLG0 or 1, 9 were KLG2, 11 with KLG3, and 2 with KLG4 were analyzed together. The fractional-fat content in the whole proximal femur did not vary with severity in males (mean (SD) 91.2 (6.0)%) but reduced with severity in females from 89.1 (6.7)% (KLG0,1), 91.5 (2.9)% (KLG2), 85.8 (16.7)% (KLG3,4) to 77.5 (11.9)% (THA) (analysis of variance [ANOVA] P = 0.029). These differences were most pronounced in the femoral head, where mean values fell with OA severity in both sexes from 97.9% (2.5%) (KLG0,1) to 73.0% (25.9%) (THA, P < 0.001) with the largest difference at the final stage. The standard deviation and the entropy of the distribution both increased (P < 0.001).ConclusionDescriptors of the fractional fat distribution varied little with the severity of OA until the most severe stage, when changes appeared mainly in the femoral head, and have, therefore, limited value as biomarkers.

KW - osteoarthritis

KW - hip

KW - intramedullary fat

KW - fractional fat content

KW - imaging biomarker

U2 - 10.1002/jmri.25318

DO - 10.1002/jmri.25318

M3 - Article

VL - 45

SP - 42

EP - 50

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

SN - 1053-1807

IS - 1

ER -