Infrared Thermography for Diagnosis of Musculoskeletal Infections

This is a pilot proof of feasibility study to explore the efficacy of High Resolution Infrared Thermographic Imaging (HRTI) to assist with the detection of musculoskeletal infections in children. In HRTI, a sensitive thermal camera is used to capture the temperature profile of the suspected infected body region in the form of images. In this study, a 10-second video will be recorded to allow dynamic monitoring. The resulting video will be processed and interpreted to determine whether there is a musculoskeletal infection. Bone, joint and soft tissue infections can be caused by bacteria which can enter the body through accidental injuries, or because of surgery or implants. Once in the body, they circulate through the bloodstream until they reach a bone, joint, or muscle, multiply and cause infection. These conditions can cause significant complications in children and adults and can even result in death if untreated. Infections of the bone, called osteomyelitis can inhibit bone growth in children. As a result, children who have suffered from osteomyelitis may require extensive treatment later in childhood. While osteomyelitis accounts for only 1% of childhood hospital admissions, its incidence in children has increased in recent decades. This is associated with an increase in the prevalence of antibiotic resistant bacteria such as MRSA. Infections of the joint, called septic arthritis, is an emergency condition that requires prompt diagnosis and treatment. Long delays in diagnosis and surgical drainage of the joint may lead to irreversible damage to the cartilage and bone destruction. There is currently a need for improved technologies to screen for and monitor bone, joint, and soft tissue infections. Plain radiographs appear normal in the first 7 to 10 days of osteomyelitis. Magnetic resonance imaging (MRI) is the most sensitive modality for diagnosing osteomyelitis. However, MRI scans are costly their accessibility is limited, plus the scan can take 30 minutes