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European Radiology
Published in: European Radiology 7/2016

Open Access 01-07-2016 | Computed Tomography

Quantitative 3D analysis of bone in hip osteoarthritis using clinical computed tomography

Authors: Tom D. Turmezei, Graham M. Treece, Andrew H. Gee, Anastasia F. Fotiadou, Kenneth E. S. Poole

Published in: European Radiology | Issue 7/2016

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Abstract

Objective

To assess the relationship between proximal femoral cortical bone thickness and radiological hip osteoarthritis using quantitative 3D analysis of clinical computed tomography (CT) data.

Methods

Image analysis was performed on clinical CT imaging data from 203 female volunteers with a technique called cortical bone mapping (CBM). Colour thickness maps were created for each proximal femur. Statistical parametric mapping was performed to identify statistically significant differences in cortical bone thickness that corresponded with the severity of radiological hip osteoarthritis. Kellgren and Lawrence (K&L) grade, minimum joint space width (JSW) and a novel CT-based osteophyte score were also blindly assessed from the CT data.

Results

For each increase in K&L grade, cortical thickness increased by up to 25 % in distinct areas of the superolateral femoral head–neck junction and superior subchondral bone plate. For increasing severity of CT osteophytes, the increase in cortical thickness was more circumferential, involving a wider portion of the head–neck junction, with up to a 7 % increase in cortical thickness per increment in score. Results were not significant for minimum JSW.

Conclusions

These findings indicate that quantitative 3D analysis of the proximal femur can identify changes in cortical bone thickness relevant to structural hip osteoarthritis.

Key Points

• CT is being increasingly used to assess bony involvement in osteoarthritis
• CBM provides accurate and reliable quantitative analysis of cortical bone thickness
• Cortical bone is thicker at the superior femoral head–neck with worse osteoarthritis
• Regions of increased thickness co-locate with impingement and osteophyte formation
• Quantitative 3D bone analysis could enable clinical disease prediction and therapy development
Appendix
Available only for authorised users
Literature
1.
Murphy LB, Helmick CG, Schwartz TA et al (2010) One in four people may develop symptomatic hip osteoarthritis in his or her lifetime. Osteoarthr Cartil 18:1372–1379CrossRefPubMedPubMedCentral
2.
3.
Hellio Le Graverand-Gastineau MP (2009) OA clinical trials: current targets and trials for OA. Choosing molecular targets: what have we learned and where we are headed? Osteoarthr Cartil 17:1393–1401CrossRefPubMed
4.
5.
Schiphof D, Boers M, Bierma-Zeinstra SM (2008) Differences in descriptions of Kellgren and Lawrence grades of knee osteoarthritis. Ann Rheum Dis 67:1034–1036CrossRefPubMed
6.
Ornetti P, Brandt K, Hellio-Le Graverand MP et al (2009) OARSI-OMERACT definition of relevant radiological progression in hip/knee osteoarthritis. Osteoarthr Cartil 17:856–863CrossRefPubMed
7.
Gossec L, Jordan JM, Lam MA et al (2009) Comparative evaluation of three semi-quantitative radiographic grading techniques for hip osteoarthritis in terms of validity and reproducibility in 1404 radiographs: report of the OARSI-OMERACT Task Force. Osteoarthr Cartil 17:182–187CrossRefPubMed
8.
Turmezei TD, Fotiadou A, Lomas DJ, Hopper MA, Poole KE (2014) A new CT grading system for hip osteoarthritis. Osteoarthr Cartil 22:1360–1366CrossRefPubMed
9.
Bousson V, Lowitz T, Laouisset L, Engelke K, Laredo JD (2012) CT imaging for the investigation of subchondral bone in knee osteoarthritis. Osteoporos Int 23:S861–S865CrossRefPubMed
10.
Turmezei TD, Lomas DJ, Hopper MA, Poole KE (2014) Severity mapping of the proximal femur: a new method for assessing hip osteoarthritis with computed tomography. Osteoarthr Cartil 22:1488–1498CrossRefPubMed
11.
Agricola R, Waarsing JH, Arden NK et al (2013) Cam impingement of the hip--a risk factor for hip osteoarthritis. Nat Rev Rheumatol 9:630–634CrossRefPubMed
12.
Reginster JY, Badurski J, Bellamy N et al (2013) Efficacy and safety of strontium ranelate in the treatment of knee osteoarthritis: results of a double-blind, randomised placebo-controlled trial. Ann Rheum Dis 72:179–186CrossRefPubMed
13.
Eckstein F, Guermazi A, Gold G et al (2014) Imaging of cartilage and bone: promises and pitfalls in clinical trials of osteoarthritis. Osteoarthr Cartil 22:1516–1532CrossRefPubMedPubMedCentral
14.
Treece GM, Gee AH (2015) Independent measurement of femoral cortical thickness and cortical bone density using clinical CT. Med Image Anal 20:249–264CrossRefPubMed
15.
Poole KE, Treece GM, Mayhew PM et al (2012) Cortical thickness mapping to identify focal osteoporosis in patients with hip fracture. PLoS One 7, e38466CrossRefPubMedPubMedCentral
16.
Poole KE, Treece GM, Gee AH et al (2014) Denosumab rapidly increases cortical bone in key locations of the femur: a 3D bone mapping study in women with osteoporosis. J Bone Miner Res 30:46–53CrossRef
17.
18.
19.
20.
Rueckert D, Frangi AF, Schnabel JA (2003) Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration. IEEE Trans Med Imaging 22:1014–1025CrossRefPubMed
21.
Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ (1994) Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp 2:189–210CrossRef
22.
Worsley K, Taylor J, Carbonell F, et al. A Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory. NeuroImage Organisation for Human Brain Mapping 2009 Annual Meeting 47:S102
23.
Hayami T, Pickarski M, Wesolowski GA et al (2004) The role of subchondral bone remodeling in osteoarthritis: reduction of cartilage degeneration and prevention of osteophyte formation by alendronate in the rat anterior cruciate ligament transection model. Arthritis Rheum 50:1193–1206CrossRefPubMed
24.
Anderson AE, Ellis BJ, Maas SA, Peters CL, Weiss JA (2008) Validation of finite element predictions of cartilage contact pressure in the human hip joint. J Biomech Eng 130:051008CrossRefPubMedPubMedCentral
25.
Ng KC, Rouhi G, Lamontagne M, Beaulé PE (2012) Finite element analysis examining the effects of cam FAI on hip joint mechanical loading using subject-specific geometries during standing and maximum squat. HSS J 8:206–212CrossRefPubMedPubMedCentral
26.
McErlain DD, Milner JS, Ivanov TG, Jencikova-Celerin L, Pollmann SI, Holdsworth DW (2011) Subchondral cysts create increased intra-osseous stress in early knee OA: a finite element analysis using simulated lesions. Bone 48:639–646CrossRefPubMed
27.
Harris MD, Datar M, Whitaker RT, Jurrus ER, Peters CL, Anderson AE (2013) Statistical shape modeling of cam femoroacetabular impingement. J Orthop Res 31:1620–1626CrossRefPubMedPubMedCentral
28.
Siebelt M, Agricola R, Weinans H, Kim YJ (2014) The role of imaging in early hip OA. Osteoarthr Cartil 22:1470–1480CrossRefPubMed
29.
Sodickson A (2013) Strategies for reducing radiation exposure from multidetector computed tomography in the acute care setting. Can Assoc Radiol J 64:119–129CrossRefPubMed
30.
Herts BR, Baker ME, Obuchowski N et al (2013) Dose reduction for abdominal and pelvic MDCT after change to graduated weight-based protocol for selecting quality reference tube current, peak kilovoltage, and slice collimation. AJR Am J Roentgenol 200:1298–1303CrossRefPubMed
31.
Goodsaid FM, Mendrick DL (2010) Translational medicine and the value of biomarker qualification. Sci Transl Med 2, 47ps44CrossRefPubMed
Metadata
Title
Quantitative 3D analysis of bone in hip osteoarthritis using clinical computed tomography
Authors
Tom D. Turmezei
Graham M. Treece
Andrew H. Gee
Anastasia F. Fotiadou
Kenneth E. S. Poole
Publication date
01-07-2016
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 7/2016
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-015-4048-x

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