Quantitative measures of bone shape, cartilage morphometry and joint alignment are associated with disease in an ACLT and MMx rat model of osteoarthritis

Besler, Bryce A.; Schadow, J.E.; Durongbhan, Pholpat; Steiner, Thomas; Choo, Ryan J.; Zulliger, Martin A.; Wilke, Markus; Atal, K.; Firminger, Colin R.; Quintin, Aurélie; Koller, Bruno; Müller, Ralph; Nešić, Dobrila; Stok, Kathryn S.

doi:10.1016/j.bone.2021.115903

Cited by 8 publications

(17 citation statements)

References 44 publications

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“…Medial and lateral subdivision of the VOI is implemented by locating the dividing point using a watershedding approach based on persistent homology 21 , which is a topological data analysis method that identifies points with strong features. This study hypothesises that the pipeline will allow measurements of 3D joint QMA parameters with precision and reproducibility comparable to that of earlier studies that used manual alignment 11 , 12 , while achieving faster implementation and maintaining precision across species. Specifically, this study aims to compare measurement precision and reproducibility, as well as the overall processing time between the presented novel method and the manual processing approach on the same datasets which were published previously 11 , 12 .…”

Section: Introductionmentioning

confidence: 62%

“…Datasets were obtained from previous studies of intact ex vivo joints from rat 12 and rabbit 11 and are described in detail in the respective publications. The rat dataset consists of microCT scans (SCANCO Medical AG, Brüttisellen, Switzerland) of 21 tibio-femoral joints from 11 age-matched, Wistar rats.…”

Section: Methodsmentioning

confidence: 99%

“…The contact area is, then, defined as the distance travelled to first contact ( , μm) and the rate at which contact area increases ( , ) 11 . Alongside these metrics, 3D measurements of the joint space width (JSW): joint space volume ( , ), JSW ( , mm), minimum JSW ( , mm), and maximum JSW ( , mm) were also measured 12 , 26 .…”

Section: Methodsmentioning

confidence: 99%

“…In the context of quantitative analysis of musculoskeletal tissues, many morphometric measures have been developed for computed tomography (CT) 3 – 6 and magnetic resonance (MR) 7 – 10 images to evaluate tissue and structural changes of the bone and cartilage. Recent studies 11 , 12 have proposed a suite of 17 quantitative morphometric analysis measures (QMA) describing structures of the joint to assess it as a single organ and have demonstrated its reproducibility and sensitivity in assessing joint health in preclinical small and medium animal models using ex vivo micro-computed tomography (microCT) datasets of intact rat and rabbit knee joints. The QMA consisted of traditional structural measures of the bone and cartilage, as well as novel 3D whole joint measures (joint QMA) that include an angle to quantify osteophytes presence and activity (σ), an angle to indicate erosion between lateral and femoral condyles (ρ), a vector defining altered angulation (λ, α, β, γ), measures of joint space width (JSW), and a slope and intercept (m, χ) of joint contact area under virtual loading.…”

Section: Introductionmentioning

confidence: 99%

“…As discussed in earlier works 11 , 12 , one of the main issues surrounding joint QMA is that it is highly sensitive to the correct alignment of the joint to a common position, as well as the appropriate subdivision of the joint into its medial and lateral components for separate joint QMA measurements of each side. The common orientation is defined as the position where the long axis of the tibia is aligned with the vertical z-axis while the rest of the joint is rigidly transformed accordingly to preserve the original relative pose of all joint components.…”

Section: Introductionmentioning

confidence: 99%

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SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models

Durongbhan

Davey

Stok

2022

Sci Rep

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The accessibility of quantitative measurements of joint morphometry depends on appropriate tibial alignment and volume of interest (VOI) selection of joint compartments; often a challenging and time-consuming manual task. In this work, we developed a novel automatic, efficient, and model-invariant image preprocessing pipeline that allows for highly reproducible 3D quantitative morphometric analysis (QMA) of the joint. The pipeline addresses the problem by deploying two modules: an alignment module and a subdivision module. Alignment is achieved by representing the tibia in its basic form using lower degree spherical harmonic basis functions and aligning using principal component analysis. The second module subdivides the joint into lateral and medial VOIs via a watershedding approach based on persistence homology. Multiple repeated micro-computed tomography scans of small (rat) and medium (rabbit) animal knees were processed using the pipeline to demonstrate model invariance. Existing QMA was performed to evaluate the pipeline’s ability to generate reproducible measurements. Intraclass correlation coefficient and mean-normalised root-mean-squared error of more than 0.75 and lower than 9.5%, respectively, were achieved for joint centre of mass, joint contact area under virtual loading, joint space width, and joint space volume. Processing time and technical requirements were reduced compared to manual processing in previous studies.

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Section: Introductionmentioning

confidence: 62%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models

Durongbhan

Davey

Stok

2022

Sci Rep

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Evaluation of a lanthanide nanoparticle‐based contrast agent for microcomputed tomography of porous channels in subchondral bone

Silva

Kirkwood

Mulvaney

et al. 2022

Journal Orthopaedic Research

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Osteoarthritis (OA) is a chronic joint disease that causes disability and pain. The osteochondral interface is a gradient tissue region that plays a significant role in maintaining joint health. It has been shown that during OA, increased neoangiogenesis creates porous channels at the osteochondral interface allowing the transport of molecules related to OA. Importantly, the connection between these porous channels and the early stages of OA development is still not fully understood. Microcomputed tomography (microCT) offers the ability to image the porous channels at the osteochondral interface, however, a contrast agent is necessary to delineate the different X‐ray attenuations of the tissues. In this study BaYbF5‐SiO2 nanoparticles are synthesized and optimized as a microCT contrast agent to obtain an appropriate contrast attenuation for subsequent segmentation of structures of interest, that is, porous channels, and mouse subchondral bone. For this purpose, BaYbF5 nanoparticles were synthesized and coated with a biocompatible silica shell (SiO2). The optimized BaYbF5‐SiO2 27 nm nanoparticles exhibited the highest average microCT attenuation among the biocompatible nanoparticles tested. The BaYbF5‐SiO2 27 nm nanoparticles increased the mean X‐ray attenuation of structures of interest, for example, porous channel models and mouse subchondral bone. The BaYbF5‐SiO2 contrast attenuation was steady after diffusion into mouse subchondral bone. In this study, we obtained for the first time, the average microCT attenuation of the BaYbF5‐SiO2 nanoparticles into porous channel models and mouse subchondral bone. In conclusion, BaYbF5‐SiO2 nanoparticles are a potential contrast agent for imaging porous channels at the osteochondral interface using microCT.

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Image Registration in Longitudinal Bone Assessment Using Computed Tomography

Han

Durongbhan

Davey

et al. 2023

Curr Osteoporos Rep

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Purpose of Review Rigid image registration is an important image processing tool for the assessment of musculoskeletal chronic disease. In this paper, we critically review applications of rigid image registration in terms of similarity measurement methods over the past three years (2019–2022) in the context of monitoring longitudinal changes to bone microstructure and mechanical properties using computed tomography. This review identifies critical assumptions and trade-offs underlying different similarity measurement methods used in image registration and demonstrates the effect of using different similarity measures on registration outcomes. Recent Findings Image registration has been used in recent studies for: correcting positional shifts between longitudinal scans to quantify changes to bone microstructural and mechanical properties over time, developing registration-based workflows for longitudinal assessment of bone properties in pre-clinical and clinical studies, and developing and validating registration techniques for longitudinal studies. Summary In evaluating the recent literature, it was found that the assumptions at the root of different similarity measures used in rigid image registration are not always confirmed and reported. Each similarity measurement has its advantages and disadvantages, as well as underlying assumptions. Breaking these assumptions can lead to poor and inaccurate registration results. Thus, care must be taken with regards to the choice of similarity measurement and interpretation of results. We propose that understanding and verifying the assumptions of similarity measurements will enable more accurate and efficient quantitative assessments of structural changes over time.

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Quantitative measures of bone shape, cartilage morphometry and joint alignment are associated with disease in an ACLT and MMx rat model of osteoarthritis

Cited by 8 publications

References 44 publications

SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models

SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models

Evaluation of a lanthanide nanoparticle‐based contrast agent for microcomputed tomography of porous channels in subchondral bone

Image Registration in Longitudinal Bone Assessment Using Computed Tomography

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