Early assessment of burn severity in human tissue ex vivo with multi-wavelength spatial frequency domain imaging

Poon, Chien-Sing; Sunar, Ulaş; Rohrbach, Daniel; Krishnamurthy, Smita; Olsen, Thomas G.; Kent, M.; Weir, Nathan M.; Simman, Richard; Travers, Jeffrey B.

doi:10.1016/j.tiv.2018.05.015

Cited by 11 publications

(5 citation statements)

References 17 publications

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“…Burns are a common type of injury among people. They can occur anywhere from a household setting where heat, electricity and friction might be the source of injury to industrial settings where radiation and chemical agents might be the main source of injury (1) . Burns that effect and cause trauma to the superficial layer of skin, superficial but partial thickness and a full-thickness classified as the first, second, third and fourth degree burns (2) .…”

Section: Introductionmentioning

confidence: 99%

Genetic Evaluation for the Proposed role of Staphylococcus aureus in Burn Patients

Abed¹,

Hamim²

2021

MLU

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Background: Staphylococcus aureus is a gram-positive spherical bacterium. It is a human skin and respiratory flora which is considered as one of the most common cause of burn infections. It always finds a way to resist antibiotics due to that it had virulence and resistance genes as well as acquired of new genes from other strains which makes it more dangerous. Aims: This study aims at investigating the prevalence of genetic evaluations for Staphylococcus aureus in the burn unit. Methods: A total of 223 burn swabs were collected from the burn patient's unit during the period from September to December 2019 in AL-Hussain Teaching Hospital in AL-Nasiriya City, Southern of Iraq. These 223 burn swabs were subjected to macroscopic, microscopic, cultures, biochemical test and out of the 223 clinical swab only (70) undergoes the PCR and DNA sequence technique looking for new emergence strains. Results: The current study used partial 16SrRNA gene sequences for (6) Staphylococcus aureus isolates and found (5) of them were global and one was local according to the accession numbers of NCBI Gene bank, MT605440.

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Section: Introductionmentioning

confidence: 99%

Genetic Evaluation for the Proposed role of Staphylococcus aureus in Burn Patients

Abed¹,

Hamim²

2021

MLU

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“…Thus, SFDI can quantify the optical properties of specific tissue components, including haemoglobin concentration, oxygen saturation and collagen content 36 . The optical parameters of these tissue components undergo significant changes after a burn, and these changes correlate well with the severity and depth of the burn 37 . Ponticorvo et al have used data from SFDI to classify burn depths 38 .…”

Section: Spectral Imaging Technologymentioning

confidence: 99%

“… 36 The optical parameters of these tissue components undergo significant changes after a burn, and these changes correlate well with the severity and depth of the burn. 37 Ponticorvo et al have used data from SFDI to classify burn depths. 38 SFDI showed a sensitivity of 93% and specificity of 74% at 24 h, and a sensitivity of 83% and specificity of 90% at 72 h. Research teams have used SFDI on animal models to collect calibrated reflectance images at eight wavelengths (471 to 851 nm) and five spatial frequencies (0 to 0.2 mm−1) and applied machine learning (support vector machine) to predict burn severity with an accuracy of 92.5%.…”

Section: Spectral Imaging Technologymentioning

confidence: 99%

Non‐invasive medical imaging technology for the diagnosis of burn depth

Li,

Bu,

Shi

et al. 2024

International Wound Journal

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Currently, the clinical diagnosis of burn depth primarily relies on physicians' judgements based on patients' symptoms and physical signs, particularly the morphological characteristics of the wound. This method highly depends on individual doctors' clinical experience, proving challenging for less experienced or primary care physicians, with results often varying from one practitioner to another. Therefore, scholars have been exploring an objective and quantitative auxiliary examination technique to enhance the accuracy and consistency of burn depth diagnosis. Non‐invasive medical imaging technology, with its significant advantages in examining tissue surface morphology, blood flow in deep and changes in structure and composition, has become a hot topic in burn diagnostic technology research in recent years. This paper reviews various non‐invasive medical imaging technologies that have shown potential in burn depth diagnosis. These technologies are summarized and synthesized in terms of imaging principles, current research status, advantages and limitations, aiming to provide a reference for clinical application or research for burn specialists.

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“…Burn damages are well-defined based on the penetration depth of the wound, the modern classification technique of the burn degrees are superficial, deep partial, deep dermal, and full-thickness 5 . Superficial burns comprise the most superficial layer of skin (the epidermis) only.…”

Section: Introductionmentioning

confidence: 99%

Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development

Rangaiah

Kouki²,

Dhouibi³

et al. 2023

IEEE Access

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Precise data acquisition, characterization, and finding the relationship between permittivity variations of human skin with degree of burns is critically important because It further helps in the development of excellent sensor devices for diagnostics and treatment of patients suffering from burns and scalds. This work is also a part of the European "Senseburn" project that focuses to develop a non-invasive diagnostic tool for the assessment of human burns based on its degree and depth in the clinical setup. In this work, several Ex-vivo burnt samples were collected from the Uppsala University Hospital (Akademiska sjukhuset, Sweden), and out of that, eight samples with different burn degrees and of various human body parts were selected for the analysis. The dielectric characterization of the categorized samples was done by using an open-end co-axial probe kit. The measurement was made systematically and clinician feedback forms were maintained throughout the process. The measurement data followed the FASTCLUS procedure which was analyzed initially using density plot, Convergence, and cubic clustering criteria respectively. The dielectric characterization was made from 500 MHz to 10 GHz with 1001 points and from the previous sensor designs, the results were found to be excellent between 500 MHz to 5 GHz. For the statistical analysis, 11 frequency points were considered for 8 samples. The results of the basic statistical analysis using the FASTCLUS procedure resulted in 88 data sets. Later, data sets were analyzed based on the cluster-wise of all samples and sample-wise clusters. Every sample was made with two clusters i.e, cluster 1 which consisted of healthy sectors, and cluster 2 which consisted of burnt sectors. Furthermore, we found that the permittivity differences of clusters are proportional to the degree of the burns. This is pivotal information and It helps to improve the functioning of the diagnostic microwave sensors by designing them according to the permittivity variations. For this purpose, an extensive campaign of around 1000 measurements across a band of 1-30 GHz was done and it leads to the conclusion that each skin region of interest (ROI) provides unique dielectric properties.

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Early assessment of burn severity in human tissue ex vivo with multi-wavelength spatial frequency domain imaging

Cited by 11 publications

References 17 publications

Genetic Evaluation for the Proposed role of Staphylococcus aureus in Burn Patients

Genetic Evaluation for the Proposed role of Staphylococcus aureus in Burn Patients

Non‐invasive medical imaging technology for the diagnosis of burn depth

Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development

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