View clinical trials related to Arthritis.
Filter by:The hypothesis for this clinical research project is that the severity of RA may be detected and predicted using an optimized ML/AI algorithm that uses infrared thermal images of inflamed joints and standard clinical RA-related markers (i.e., ESR and CRP) by computing DAS-28 ESR scores in real-time. The infrared thermal images coupled with clinical laboratory markers and the ML/AI algorithm are expected to assist a practicing clinician in the RA diagnosis and the prediction of the occurrence of flares in RA patients. Physicians who use this technology, would need minimum training and will be able to accurately and reliably diagnose RA using a cheaper method which does not involve incident radiation emitted by other imaging modalities such a X-RAY, musculoskeletal (MSK) ultrasound, or a magnetic resonance imaging (MRI). The aim would be to have the Infrared thermal imaging devices at remote VA clinics that do not have a rheumatology specialist where veterans can go for their inflammatory arthritis flare and get this image by the local VA RN. These clinical results can then be assessed by and discussed with a Rheumatologist via telehealth visits.
Preliminary data following a pilot study from our institution confirms the ability of 99mTc-glucosamine (99mTc-ECDG) to differentiate between active, subclinical and quiescent disease in patients with rheumatoid arthritis, scleroderma lung, and vasculitis. We propose to extend these findings and further evaluate this imaging modality for its clinical utility, limitations, and application. An unacceptably high level of morbidity exists amongst patients suffering from rheumatic disease. This is often the result of mild disease being missed or misdiagnosed, and therapy inordinately delayed or inappropriate. The currently used therapeutic agents themselves have associated side-effects adding to unfavourable clinical outcomes. There is therefore a need for a superior, less expensive and more easily accessible imaging modality to assess the degree of inflammation to guide the clinician. Glucosamine is absorbed and metabolised in a manner not too dissimilar to that of glucose, and it can be readily labelled to form 99mTc-ECDG. Scans can be acquired within 3 hours of intravenous administration of this agent, accurately depicting sites of active inflammation/disease. HYPOTHESIS Glucose is a vital cellular substrate that accumulates at inflamed tissues because of the greater metabolic needs of the cells during active disease. Glucosamine, being an analogue of glucose, is metabolised more quickly in inflamed than non-inflamed tissue and thus 99mTc-ECDG scintigraphy like 18-Fluorodeoxyglucose (18FDG-PET) scintigraphy allows for detection of active inflammation. Unlike current bone scans this agent has the sensitivity to detect subclinical inflammatory disease that would in turn provide essential information to ensure accurate diagnosis and treatment.
An expanded access trial of belimumab for named patients who participated in LBRA99.