Revision 1 Size and position of the healthy meniscus, and its Correlation with sex, height, weight, and bone area- a cross-sectional study

Bloecker, K.; Englund, Martin; Wirth, W.; Hudelmaier, M.; Burgkart, Rainer; Frobell, Richard; Eckstein, F.

doi:10.1186/1471-2474-12-248

Cited by 46 publications

(53 citation statements)

References 36 publications

(51 reference statements)

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“…The meniscus covered 50% of the tibia medially and 58% laterally111 in healthy knees, with no differences between men and women 115. Medial tibial coverage by the meniscus was only 36% in JSN1 and 31% in JSN2/3 knees, and 45% in contralateral knees without JSN 116.…”

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 88%

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Eckstein

Kwoh

Link³

2014

Ann Rheum Dis

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The Osteoarthritis Initiative (OAI) is a multicentre, prospective, observational, cohort study of knee osteoarthritis (OA) that began recruitment in 2004. The OAI provides public access to clinical and image data, enabling researchers to examine risk factors/predictors and the natural history of knee OA incidence and progression, and the qualification of imaging and other biomarkers. In this narrative review, we report imaging findings and lessons learned 10 years after enrolment has started. A literature search for full text articles published from the OAI was performed up to 31 December 2013 using Pubmed and the OAI web page. We summarise the rationale, design and imaging protocol of the OAI, and the history of OAI publications. We review studies from early partial, and later full OAI public data releases. The latter are structured by imaging method and tissue, reviewing radiography and then MRI findings on cartilage morphology, cartilage lesions and composition (T2), bone, meniscus, muscle and adipose tissue. Finally, analyses directly comparing findings from MRI and radiography are summarised. Ten years after the first participants were enrolled and first papers published, the OAI has become an invaluable resource to the OA research community. It has fuelled novel methodological approaches of analysing images, and has provided a wealth of information on OA pathophysiology. Continued collection and public release of long-term observations will help imaging measures to gain scientific and regulatory acceptance as 'prognostic' or 'efficacy of intervention' biomarkers, potentially enabling shorter and more efficient clinical trials that can test structure-modifying therapeutic interventions (NCT00080171).

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Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 88%

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Eckstein

Kwoh

Link³

2014

Ann Rheum Dis

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“…from the baseline coronal multi-planar reconstruction images as described previously [9,11]. Briefly, the medial and lateral tibial plateau area (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…Briefly, the medial and lateral tibial plateau area (i.e. the area of cartilage surface, including denuded areas of subchondral bone), and the surfaces of the medial and lateral meniscus (tibial, femoral and external area) were segmented [9,11] (Fig. 3a).…”

Section: Methodsmentioning

confidence: 99%

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The contribution of 3D quantitative meniscal and cartilage measures to variation in normal radiographic joint space width—Data from the Osteoarthritis Initiative healthy reference cohort

Roth

Wirth

Emmanuel

et al. 2017

European Journal of Radiology

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Objective To explore to what extent three-dimensional measures of the meniscus and femorotibial cartilage explain the variation in medial and lateral femorotibial radiographic joint space width (JSW), in healthy men and women. Methods The right knees of 87 Osteoarthritis Initiative healthy reference participants (no symptoms, radiographic signs or risk factors of osteoarthritis; 37 men, 50 women; age 55.0±7.6; BMI 24.4±3.1) were assessed. Quantitative measures of subregional femorotibial cartilage thickness and meniscal position and morphology were computed from segmented magnetic resonance images. Minimal and medial/lateral fixed-location JSW were determined from fixed-flexion radiographs. Correlation and regression analyses were used to explore the contribution of demographic, cartilage and meniscal parameters to JSW in healthy subjects. Results The correlation with (medial) minimal JSW was somewhat stronger for cartilage thickness (0.54≤r≤0.67) than for meniscal (−0.31≤r≤0.50) or demographic measures (−0.15≤r≤0.48), in particular in men. In women, in contrast, the strength of the correlations of cartilage thickness and meniscal measures with minimal JSW were in the same range. Fixed-location JSW measures showed stronger correlations with cartilage thickness (r≥0.68 medially; r≥0.59 laterally) than with meniscal measures (r≤|0.32| medially; r≤|0.32| laterally). Stepwise regression models revealed that meniscal measures added significant independent information to the total variance explained in minimal JSW (adjusted multiple r2=58%) but not in medial or lateral fixed-location JSW (r2=60/51%, respectively). Conclusions In healthy subjects, minimal JSW was observed to reflect a combination of cartilage and meniscal measures, particularly in women. Fixed-location JSW, in contrast, was found to be dominated by variance in cartilage thickness in both men and women, with somewhat higher correlations between cartilage and JSW in the medial than lateral femorotibial compartment. The significant contribution of the meniscus’ position on minimal JSW reinforces concerns over validity of JSW as an indirect measure of hyaline cartilage.

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“…Finally, a relatively small number of patient settings is examined in these studies. However, the meniscal geometry [5] and material properties [1] are highly variable from patient to patient, so a study on a wide patient population is necessary.…”

Section: Summary and Discussionmentioning

confidence: 99%

Using a Statistically Calibrated Biphasic Finite Element Model of the Human Knee Joint to Identify Robust Designs for a Meniscal Substitute

Leatherman

Guo

Gilbert

et al. 2014

Journal of Biomechanical Engineering

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This paper describes a methodology for selecting a set of biomechanical engineering design variables to optimize the performance of an engineered meniscal substitute when implanted in a population of subjects whose characteristics can be specified stochastically. For the meniscal design problem where engineering variables include aspects of meniscal geometry and meniscal material properties, this method shows that meniscal designs having simultaneously large radial modulus and large circumferential modulus provide both low mean peak contact stress and small variability in peak contact stress when used in the specified subject population. The method also shows that the mean peak contact stress is relatively insensitive to meniscal permeability, so the permeability used in the manufacture of a meniscal substitute can be selected on the basis of manufacturing ease or cost. This is a multiple objective problem with the mean peak contact stress over the population of subjects and its variability both desired to be small. The problem is solved by using a predictor of the mean peak contact stress across the tibial plateau that was developed from experimentally measured peak contact stresses from two modalities. The first experimental modality provided computed peak contact stresses using a finite element computational simulator of the dynamic tibial contact stress during axial dynamic loading. A small number of meniscal designs with specified subject environmental inputs were selected to make computational runs and to provide training data for the predictor developed below. The second experimental modality consisted of measured peak contact stress from a set of cadaver knees. The cadaver measurements were used to bias-correct and calibrate the simulator output. Because the finite element simulator is expensive to evaluate, a rapidly computable (calibrated) Kriging predictor was used to explore extensively the contact stresses for a wide range of meniscal engineering inputs and subject variables. The predicted values were used to determine the Pareto optimal set of engineering inputs to minimize peak contact stresses in the targeted population of subjects.

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Revision 1 Size and position of the healthy meniscus, and its Correlation with sex, height, weight, and bone area- a cross-sectional study

Cited by 46 publications

References 36 publications

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

The contribution of 3D quantitative meniscal and cartilage measures to variation in normal radiographic joint space width—Data from the Osteoarthritis Initiative healthy reference cohort

Using a Statistically Calibrated Biphasic Finite Element Model of the Human Knee Joint to Identify Robust Designs for a Meniscal Substitute

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