Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/18767
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dc.contributor.authorPoosapadi Arjunan, Sridhar-
dc.contributor.authorTint, Aye Nyein-
dc.contributor.authorAliahmad, Behzad-
dc.contributor.authorKumar, Dinesh Kant-
dc.contributor.authorShukla, Ravi-
dc.contributor.authorMiller, Julie-
dc.contributor.authorZajac, Jeffrey D-
dc.contributor.authorWang, Gayathiri-
dc.contributor.authorViswanathan, Rekha-
dc.contributor.authorEkinci, Elif I-
dc.date.accessioned2018-08-31T06:05:34Z-
dc.date.available2018-08-31T06:05:34Z-
dc.date.issued2018-06-
dc.identifier.citationThe International Journal of Lower Extremity Wounds 2018; 17(2): 78-86en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/18767-
dc.description.abstractDiabetic foot infections are a major cause of hospitalization, and delayed treatment can lead to numerous complications. The aim of this research was to investigate high-resolution spectroscopy of the wound center and periwound area for real-time estimation of multispectral signature of bacteria at the base of diabetic foot ulcers. We investigated the spectrum of the reflected visual light from diabetic foot ulcers and developed a method that identifies the presence of bacteria in the wound infections. We undertook a prospective pilot study on 18 patients with type 1 and type 2 diabetes and chronic diabetic foot ulcers. The spectral coefficients were directly compared with the results from the wound swab. The results of the multispectral analysis demonstrated 100% sensitivity, with 100% negative predictive values of identifying the presence of the bacteria, which was the cause of the infection in the wound. The results of our study suggest that the changes in the multispectral properties of the wound can be used to identify the presence of bacteria in the infected area using a noninvasive device without any contact with the wound. This technique holds great promise for real-time objective evaluation of the wound infection status beyond the standard visual assessment of diabetic foot ulcers.en_US
dc.language.isoeng-
dc.subjectdiabetic foot ulcersen_US
dc.subjectdiagnosisen_US
dc.subjectlower extremity wounden_US
dc.subjectphotographyen_US
dc.subjectwound assessmenten_US
dc.subjectwound infectionen_US
dc.titleHigh-Resolution Spectral Analysis Accurately Identifies the Bacterial Signature in Infected Chronic Foot Ulcers in People With Diabetes.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleThe International Journal of Lower Extremity Woundsen_US
dc.identifier.affiliationBiosignals Lab, RMIT University, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationEndocrinologyen_US
dc.identifier.affiliationMedicine (University of Melbourne)en_US
dc.identifier.doi10.1177/1534734618785844en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0003-2372-395Xen_US
dc.identifier.pubmedid30012069-
dc.type.austinJournal Article-
local.name.researcherEkinci, Elif I
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.deptEndocrinology-
crisitem.author.deptEndocrinology-
crisitem.author.deptMedicine (University of Melbourne)-
crisitem.author.deptEndocrinology-
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