Author ORCID Identifier:
Date of Graduation
8-2025
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Engineering (PhD)
Degree Level
Graduate
Department
Biomedical Engineering
Advisor/Mentor
Rajaram, Narasimhan
Committee Member
Jensen, Hanna
Second Committee Member
Wolchok, Jeffery
Keywords
Diffuse Reflectance; Infection; Lookup Table; Monte Carlo; Optics; Synovial Fluid
Abstract
Septic arthritis is a severe joint infection that can rapidly destroy cartilage and cause lifelong disability if not diagnosed and treated promptly. Faster, bedside diagnostic tools are needed to reduce delays and support timely treatment decisions while preserving standard laboratory workflows. A syringe-mounted diffuse reflectance spectroscopy (DRS) system was developed for rapid, sterile, point-of-care measurement of synovial fluid optical properties. Broadband light (400–650 nm) was delivered and collected through the syringe barrel without contaminating the sample. An empirical lookup table (LUT) and a boundary-aware Monte Carlo (MC) model were implemented to extract absorption (μₐ) and reduced scattering (μs′) coefficients from the measured spectra. Optical phantom studies confirmed that the system retrieves optical properties within 5–15% of known reference values and achieves signal-to-noise ratios exceeding 50 dB. Prospective patient samples (n = 19) demonstrated that scattering amplitude and reflectance band ratios (e.g., R₄₉₀/R₆₀₀) distinguish infected from non-infected fluid with ≥85% sensitivity and ≥90% specificity in under five minutes. The non-contact design preserves fluid sterility for culture confirmation. This work demonstrates a practical path from proof-of-concept to deployable point-of-care optical screening for septic arthritis, supporting faster treatment decisions and improved patient outcomes.
Citation
Drewke, E. E. (2025). Advancing Point-of-Care Diagnosis of Joint Infection Using a Diffuse Reflectance Spectroscopy (DRS) System. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/5931