Improved X-ray based technique developed for understanding joint behaviour in world’s most common musculoskeletal condition

A new technique that can determine joint behaviour in conditions such as osteoarthritis with more accuracy than ever before has been published in Nature Biomedical Engineering. Scientists from Diamond Light Source, the Royal Veterinary College (RVC), Edinburgh Napier University, UCL, Oregon State University (US) and 3Dmagination, have developed this ground-breaking technique. This has important implications given the major social, health and financial burden of osteoarthritis globally. 

A bespoke loading rig was adapted to simulate the loading of the knee joints during walking. This allowed the team to accurately apply identical, controlled loads to the joints being studied.
A bespoke loading rig was adapted to simulate the loading of the knee joints during walking. This allowed the team to accurately apply identical, controlled loads to the joints being studied.

Osteoarthritis is a condition that causes joints to become painful and stiff. Joints respond to and absorb loads over a wide range of scales over a lifetime by deforming or straining our soft tissue and bone structures. The level of deformation or strain is measured on the nanometre scale within structures such as collagen fibres, on the micron scale in chondrocytes, and the macroscale in bones. Previously these strains have only been measured at the sub-millimetre scale in whole joints during loading. This latest work measured these strains with an accuracy of better than 100 nanometres - more than 1,000 times more precisely - in mouse knee joints at different stages during the onset of osteoarthritis.

Prior high-resolution imaging methods have been constrained by destructive sample treatments, sample-size restrictions and lengthy scan times. This research was therefore conducted in order to develop a technique which enabled high-resolution imaging and quantification of mechanical strains to help determine a deeper understanding of how our joints react as osteoarthritis progresses. The experiments were conducted at Diamond's beamline I13-2.

Professor Laurent Chapon, Physical Science Director at Diamond Light Source says:

The paper is an excellent representation of the capabilities of beamline I13-2. It also shows the essential role of synchrotron light sources like Diamond in gaining new insights in important health issues. Developing new methods together with industrial partners and scientists from universities around the world help us stay at the forefront and utilise the high quality light we produce to the highest level possible.

In order to maintain both the integrity of samples, and the quality of the images collected, a high flux ‘pink’ beam was used. This allowed the team to easily visualise features in joints with unprecedented resolution. An indenter and a bespoke loading rig then allowed the team to accurately apply identical, controlled loads to the joints being studied. A code was then developed for digital volume correlation – a method used to quantify 3D strains across the complex structure of the joint. Dr Andrew Bodey, Senior Support Scientist at Diamond Light Source beamline I13 notes:

Performing X-ray tomography of a knee joint undergoing compression is like taking a photo of a moving object: the quicker you image, the less it blurs. The high flux of the pink beam facilitated the fast data collection required for high resolution tomography and the subsequent sub-100nm strain measurements.

Working with scientists from the RVC, the team tested this technique on male STR/Ort mice – which develop osteoarthritis with ageing, much like in humans – at a range of disease stages. They were then compared with male age-matched control mice who show no signs of osteoarthritis with ageing.

Andrew Pitsillides, Professor of Skeletal Dynamics and Comparative Biomedical Sciences at the RVC explains:

Our technique for nanometre scale measurement of real deformation in whole joints under conditions closely mimicking their normal use will, I hope, bring new understanding of joint behaviour in health and in osteoarthritis that devastates the lives of so many.

The study combined various technologies including synchrotron X-ray tomographic imaging at Diamond Light Source, a nano-precision loading frame originally designed by UCL for testing aeroengine components, as well as a software code developed by Oregon State University to measure motion between subsequent 3D images with a resolution 1/20th of a voxel (3D pixel).

Dr Kamel Madi, Director at 3Dmagination Ltd adds:

Measuring precise and reliable nanoscale strains in this complex biomedical system requires a perfect blend of skills, from in situ imaging to reconstruction and quantification of several terabytes of dataset, which is the team’s expertise at 3Dmagination Ltd. I am also passionate about bringing the images to life and I hope our method will contribute to uncovering the secrets of osteoarthritis in the future.

This breakthrough is important as articular cartilage must last a lifetime to protect joints from friction and damage during movement. However, the mechanical and structural relationship between this function and neighbouring tissues and in particular, how they interact under joint loading, is currently unknown.

This study showed that hierarchical changes in tissue structure and mechanical behaviour can be simultaneously visualised in healthy and osteoarthritic joints, and that the tissue structure at the cellular level correlates with the mechanical performance of the whole joint.

While it is early days, with the need for more studies to be conducted, the team is excited by the prospect of how this new technique will be applied to gain transformational insights into this significant healthcare burden.

 

Related publication:

Kamel Madi & Katherine A. Staines (joint first authors), Brian K. Bay, Behzad Javaheri,  Hua Geng, Andrew J. Bodey, Sarah Cartmell, Andrew A. Pitsillides, Peter D. Lee. In situ characterization of nanoscale strains in loaded whole joints via synchrotron X-ray tomography. Nature Biomedical Engineering. 2019 Nov 25:1-2. DOI: 10.1038/s41551-019-0477-1