Sci Rep
Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA.
Published: March 2022
We present an automatic classification strategy for early and accurate assessment of burn injuries using terahertz (THz) time-domain spectroscopic imaging. Burn injuries of different severity grades, representing superficial partial-thickness (SPT), deep partial-thickness (DPT), and full-thickness (FT) wounds, were created by a standardized porcine scald model. THz spectroscopic imaging was performed using our new fiber-coupled Portable HAndheld Spectral Reflection Scanner, incorporating a telecentric beam steering configuration and an f-[Formula: see text] scanning lens. ASynchronous Optical Sampling in a dual-fiber-laser THz spectrometer with 100 MHz repetition rate enabled high-speed spectroscopic measurements. Given twenty-four different samples composed of ten scald and ten contact burns and four healthy samples, supervised machine learning algorithms using THz-TDS spectra achieved areas under the receiver operating characteristic curves of 0.88, 0.93, and 0.93 when differentiating between SPT, DPT, and FT burns, respectively, as determined by independent histological assessments. These results show the potential utility of our new broadband THz PHASR Scanner for early and accurate triage of burn injuries.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948290 | PMC |
http://dx.doi.org/10.1038/s41598-022-08940-4 | DOI Listing |
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University of California Davis, Shriners Children's Northern California, Burn Division, Department of Surgery, University of California, Davis, 2335 Stockton Blvd, Sacramento, CA 95817, United States.
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Department of Surgery, University of Cincinnati College of Medicine, 231 Albert Sabin Way, Cincinnati, OH, 45267, USA.
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January 2025
Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4102Australia.
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