Assessment of Revascularization in Plantar Foot of Diabetic Patients Pre and Post Angioplasty Using Spatial Frequency Domain Imaging

Overview

To explore the usefulness of SFDI in the assessment of revascularization pre and post intervention

Diabetes is a chronic disease with high cardiovascular morbidity and mortality ((Matheus et al., 2013)). Approximately 150 million worldwide are suffering from this condition and the number is expected to rise to 300 million by 2025. In Singapore, diabetes is the 10th leading cause of death accounting for 1.7 per cent total deaths in 2011. By 2030, the number of Singapore residents above 40 with diabetes is projected to increase by another 200,000 from about 400,000 today (Diabetes in Singapore: Stats and Prevention Tips - HealthXchange, n.d.). Despite having one of the world's highest life expectancies and a modern health care system, Singapore has one of the highest rates of lower extremity amputation (LEA) in the world, with public hospitals here needing to conduct some four amputation procedures a day ((Amputation of Limbs Regarded as a Last Resort - Singapore General Hospital, n.d.)). However, patients who seek treatment early enough have the option of various intervention treatments to salvage limbs. These include re-vascularisation (angioplasty or bypass) and treatment of infection (drainage of abscesses or debridement). In Singapore, limb salvage therapies have led to a 20% reduction in LEA operations in 2015 compared to the year before ((SINGAPORE: ONE OF WORLD'S HIGHEST FOR DIABETES-RELATED LEG AMPUTATIONS, n.d.)). Unfortunately, the clinical success of these procedures in diabetics drop to 69% at 12 months (Lazaris et al., 2004). This is owing to the lack of objective feedback of limb perfusion. Non invasive imaging modalities that predict outcomes of such revascularization procedures can help in early intervention and thus limb salvage. Recently, SFDI, a noninvasive optical imaging method capable of measuring tissue oxygen saturation (StO2) and tissue haemoglobin has been show to predict diabetic foot ulcer onset in the US population (Lee et al., 2020). Herein, we hypothesize that these microvasculature information offered by SFDI can be used to predict the outcomes of revascularization procedures. To test this hypothesis, we propose an exploratory pilot study to use SFDI on 15 diabetic patients undergoing lower limb revascularization and acquire images of the plantar foot before and after the intervention.

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Central Contacts