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Introduction: Currently, there are no objective techniques to assess burn depth. An early assessment of burn depth would enable accurate management decisions, which would improve patient outcomes. Near infrared (NIR) technology has shown promise as a non-invasive monitor of oxygenation and perfusion, and its potential to assess the depth of burn injuries has been investigated clinically over the past five years. The purpose of the thesis was to determine the capacity of NIR technology to differentiate acute thermal injuries. Methods: Burn sites (n=5) and control sites (n=5) were created on the dorsum of sixteen animals with brass rods held at constant pressure and heated to 100°C and 37.5°C respectively. NIR data was collected from the burns and control sites pre-burn, immediately post-burn, and 1, 12, 24, 36, 48 and 96 hours after the burn injury. Biopsies of the burn and control sites were acquired at each time point and used to confirm the depth of injury. NIR data was processed for the content of water, oxy-, deoxy- and methemoglobin. Results: Oxyhemoglobin and total hemoglobin decreased as burn depth increased. The proportion of oxy- and deoxyhemoglobin to total hemoglobin showed that the ratio of oxy- to deoxyhemoglobin decreased as burn injury increased. Methemoglobin levels as a ratio of total hemoglobin also showed that as the severity of injury increased the proportion of methemoglobin also increased. Finally, superficial partial thickness injuries (3 s and 12 s) showed early peak levels of water, which rapidly declined towards baseline. The deep partial thickness injuries (20 s and 30 s) do not experience peak levels and retain water over the course of the experiment. The full thickness injuries water levels remain close or below baseline levels throughout the experiment. Conclusion: NIR spectroscopy could distinguish burn depth using water, oxy-, met- and total hemoglobin as separate entities. The presence of methemoglobin in the burn wounds is a novel finding that has not been described previously in burn literature.

Introduction: Currently, there are no objective techniques to assess burn depth. An early assessment of burn depth would enable accurate management decisions, which would improve patient outcomes. Near infrared (NIR) technology has shown promise as a non-invasive monitor of oxygenation and perfusion, and its potential to assess the depth of burn injuries has been investigated clinically over the past five years. The purpose of the thesis was to determine the capacity of NIR technology to differentiate acute thermal injuries. Methods: Burn sites (n=5) and control sites (n=5) were created on the dorsum of sixteen animals with brass rods held at constant pressure and heated to 100°C and 37.5°C respectively. NIR data was collected from the burns and control sites pre-burn, immediately post-burn, and 1, 12, 24, 36, 48 and 96 hours after the burn injury. Biopsies of the burn and control sites were acquired at each time point and used to confirm the depth of injury. NIR data was processed for the content of water, oxy-, deoxy- and methemoglobin. Results: Oxyhemoglobin and total hemoglobin decreased as burn depth increased. The proportion of oxy- and deoxyhemoglobin to total hemoglobin showed that the ratio of oxy- to deoxyhemoglobin decreased as burn injury increased. Methemoglobin levels as a ratio of total hemoglobin also showed that as the severity of injury increased the proportion of methemoglobin also increased. Finally, superficial partial thickness injuries (3 s and 12 s) showed early peak levels of water, which rapidly declined towards baseline. The deep partial thickness injuries (20 s and 30 s) do not experience peak levels and retain water over the course of the experiment. The full thickness injuries water levels remain close or below baseline levels throughout the experiment. Conclusion: NIR spectroscopy could distinguish burn depth using water, oxy-, met- and total hemoglobin as separate entities. The presence of methemoglobin in the burn wounds is a novel finding that has not been described previously in burn literature.

Burn injuries are a significant global health concern, causing high mortality and morbidity rates. Clinical assessment is the current standard for diagnosing burn injuries, but it suffers from interobserver variability and is not suitable for intermediate burn depths. To address these challenges, machine learning-based techniques were proposed to evaluate burn wounds in a thesis. The study utilized image-based networks to analyze two medical image databases of burn injuries from Caucasian and Black-African cohorts. The deep learning-based model, called BurnsNet, was developed and used for real-time processing, achieving high accuracy rates in discriminating between different burn depths and pressure ulcer wounds. The multiracial data representation approach was also used to address data representation bias in burn analysis, resulting in promising performance. The ML approach proved its objectivity and cost-effectiveness in assessing burn depths, providing an effective adjunct for clinical assessment. The study's findings suggest that the use of machine learning-based techniques can reduce the workflow burden for burn surgeons and significantly reduce errors in burn diagnosis. It also highlights the potential of automation to improve burn care and enhance patients' quality of life. / Petroleum Technology Development Fund (PTDF); Gombe State University study fellowship

Tyrimo tikslas yra įvertinti lazerinės doplerografijos reikšmę nudegimo gylio diagnostikai ir įtaką gydymo metodo pasirinkimui. Darbo uždaviniai: 1. Lazerinės doplerografijos metu ištirti skirtingo laipsnio nudegusių audinių perfuzijos greitį bei spalvinę išraišką. 2. Ištirti lazerinės doplerografijos reikšmę nustatant 2A ir 2B laipsnio nudegimų žaizdų savaiminio sugijimo galimybes. 3. Nustatyti ir palyginti nudegimų gylio klinikinio vertinimo ir lazerinės doplerografijos tyrimo tikslumą, jautrumą ir specifiškumą. 4. Nustatyti ir palyginti nudegimų klinikinio vertinimo ir lazerinės doplerografijos tyrimo įtaką nudegusių pacientų stacionarizavimo trukmei bei gydymo išlaidoms. Darbo metodika: Perspektyvinis atsitiktinių imčių klinikinis tyrimas. Vertinta savaiminė nudegusių audinių epitelizacija ir operacinio gydymo poreikis. Prieš atsitiktinę atranką į grupes į klinikinį tyrimą įtrauktiems ligoniams buvo paimta biopsija iš nudegiminės žaizdos, siekiant nustatyti nudegimo gylį ir palyginti su klinikinio nudegimo vertinimu (KNV) bei lazerinės doplerografijos (LDG) tyrimu. Buvo vertintas KNV ir LDG tyrimų tikslumas, jautrumas ir specifiškumas. Po to ligoniai atsitiktinės atrankos būdu buvo suskirstyti į grupes pagal skirtingus nudegimo vertinimo metodus: KNV ir LDG. Suskirstymas į grupes buvo atliktas siekiant palyginti dviejų skirtingų nudegimo vertinimo metodų įtaką ligonių stacionarizavimo trukmei ir nudegimų gydymo kainai. Išvados: 1. LDG tyrimas gali tiksliai ir... [toliau žr. visą tekstą] / The aim of study was to evaluate the importance of laser doppler imaging of burn depth examination and selection of method of treatment. Objectives of the study: 1. To explore the perfusion velocity and color view of different de¬gree of burned wound during laser doppler imaging examination. 2. To explore the importance of laser doppler imaging to determine the sponteneous epithelization of 2A and 2B degree of burn wound. 3. To evaluate and compare the accuracy, sensitivity and specificity of clinical burn depth examination and laser doppler imaging. 4. To evaluate and compare the influence of clinical burn depth examination and laser doppler imaging to length of inpatient stay and the cost of treatment. Materials and Methods: Prospective randomized study. The spontaneous burn wound epithelization and requirement to surgery was estimate. The burn tissue biopsy was made for burned patients before their randomization into groups. The aim of biopsy was to deter¬mine the depth of burn and to define the correlation with clinical burn depth examination (CBDE) and laser doppler imaging (LDI). The accu¬racy, sensitivity and specificity was determined between different examination methods. After this the burned patients were randomized into two groups: CBDE and LDI. The aim of randomization was to compare the length of inpatient stay and cost of treatment of two different burn depth examination methods. Conclusions: 1. LDI scan allows to determine the perfusion velocity... [to full text]

<p>Accurate assessment of burn injuries is critical for the correct management of such wounds. Depending on the total body surface area affected by the burn, and the severity of the injury, the optimal treatment and the surgical requirements are selected. However, such assessment is considered a clinical challenge. In this thesis, to address this challenge, an automatic framework to segment the burn using RGB images, and classify the injury based on the severity using ultrasound images is proposed and implemented. With the use this framework, the conventional assessment approach, which relies exclusively on a physical and visual examination of the injury performed by medical practitioners, could be complemented and supported, yielding accurate results. The ultrasound data enables the assessment of internal structures of the body, which can provide complementary and useful information. It is a noninvasive imaging modality that provides access to internal body structures that are not visible during the typical physical examination of the burn. The semantic segmentation module of the proposed approach was evaluated through one experiment. Similarly, the classification module was evaluated through two experiments. The second experiment assessed the effects of incorporating texture features as extra features for the classification task. Experimental results and evaluation metrics demonstrated the satisfactory results obtained with the proposed framework for the segmentation and classification problem. Therefore, this work acts as a first step towards the creation of a Computer-Aided Diagnosis and Detection system for burn injury assessment.</p>