Bone Diseases

BoneMRI is a quantitative 3D MRI technique that has been developed recently by MRIGuidance BV©, which is based on a multiple gradient-echo sequence and a machine learning processing pipeline. The BoneMRI technology is capable of generating CT-like, quantitative radiodensity bone MRI images to visualize cortical and trabecular bone, allowing to assess bone structure and morphology, in addition to regular clinical MRI images. The use of BoneMRI has been investigated and clinically validated in multiple musculoskeletal studies involving the cervical spine, hip and sacro-iliac joint. In order to clinically use BoneMRI in the entire spine, the BoneMRI technology needs to be validated in that area as well, focussing on geometrical and voxelwise accuracy of the radiodensity contrast to assure accurate visualization of the osseous structures. As robustness against expected data variability between hospitals is crucial for successful machine learning algorithms, multiple MR field strengths and scanner types from different manufacturers will be included in this study. If successful, BoneMRI will facilitate a better, easier and cheaper workflow by enabling diagnosis, treatment planning and surgical navigation using a single radiological examination, without the potential hazards of ionizing radiation.

The overriding objectives of this study are: 1. Primary outcomes: 1. To confirm that administration of oral acetate increases the proportion of A. muciniphilia in the stool samples of patients with metastatic, castration-sensitive prostate cancer compared to a standard of care arm. 2. To confirm tolerability and assess for side effects of oral acetate supplementation. 2. Secondary outcomes: 1. To determine if increased counts of A. muciniphilia correlate with improved metabolic parameters and improved bone health.

People with Parkinson's have infrequent clinical consultation (once every 12-18 months) and limited rehabilitation. Assessment play an important role in these consultations to help clinicians understand patients' health status and disease progression necessary to adjust treatment plans. The current way of measuring is the UPDRS which needs a clinician to do this and takes 30 minutes. There is a strong need for more frequent and accurate Parkinson's assessments in the clinic and at home to detect changes early and then give appropriate support and drug and physiotherapy quickly. There is a need to develop good home digital physiotherapy tools to increase the amount of therapy. Here the investigators are testing new digital technologies to do these assessments in the home and clinic and a new digital physiotherapy device in the home. The investigators aim to conduct a clinical study with 50 people with Parkinson's (50 from UK) with the UPDRS, (a rating scale that is commonly used in clinical settings to evaluate the progression of Parkinson's disease) and 30 healthy adults. The investigators will develop and investigate if two new digital devices, one the MachineMD that measures eye movement and one the gaitQ that measures gait can be used instead of the MDS-UPDRS (motor) using digital gait and ophthalmic features in the clinic setting. The investigators will investigate the effect of a physiotherapy gait intervention gaitQ Tempo in the home context for two weeks and of doing the gait measure at home. The investigators will determine the potential of the gaitQ intervention to improve key gait metrics in order to collect clinical evidence and of using the gaitQ as a cuing system over a 2-week period on gait and other movement measures in the home and community

The purpose of this study is to determine if narlumosbart is non-inferior to denosumab in the treatment of bone diseases from multiple myeloma (MM).

Diseases of bone associated with ageing, including osteoporosis (OP) and osteoarthritis (OA), reduce bone mass, bone strength and joint integrity. Current non-surgical approaches are limited to pharmaceutical agents that are not disease modifying and have poor patient tolerability due to side effect profiles. Developing a fundamental understanding of cellular bone homeostasis, including how key cell types affect tissue health, and offering novel therapeutic targets for prevention of bone disease is therefore essential. This is the focus of OSTEOMICS. A number of factors have been linked to increased risk of bone disease, including genetic predisposition, diet, smoking, ageing, autoimmune disorders and endocrine disorders. In our study, we will recruit patients undergoing elective and non-elective orthopaedic surgery and obtain surgical bone waste for analysis. This will capture a cohort of patients with bone disorders like OP and OA, in addition to patients without overt clinical bone disease. We will study the relationship between the molecular biology of bone cells, bone structure, genetics (DNA) and environmental factors with the aim of identifying and validating novel therapeutic targets. We will leverage modern single cell technologies to understand the diversity of cell types found in bone. These technologies have now led to the characterisation of virtually every tissue in the body, however bone and bone-adjacent tissues are massively underrepresented due to the anatomical location and underlying technical challenges. Early protocols to demineralise bone and perform single cell profiling have now been developed. We will systematically scale up these efforts to observe how genetic variation at the population level leads to alterations in bone structure and quality. Over the next 10 years, we will generate data to comprehensively characterise bone across health and disease, use machine learning to drive analysis, and experimentally validate hypotheses - which will ultimately contribute to developing the next generation of therapeutic agents.