The Use of Visible-Light Hyperspectral Imaging in Evaluating Burn Wounds: A Case Report

Author(s):  
Melissa McCarthy ◽  
Victoria Irene Prete ◽  
SeungJu Oh ◽  
Garrick Gu ◽  
Jorge Lujan-Hernandez ◽  
...  

Abstract Burn depth is a critical factor in determining the healing potential of a burn as the extent of injury ultimately guides overall treatment. Visible Light Hyperspectral Imaging is an FDA-approved, non-invasive, and non-contrast imaging technology that uses light waves within the visible spectrum to evaluate skin and superficial soft tissue perfusion. In this case report, Visible Light Hyperspectral Imaging was used to evaluate a 37-year-old male who presented to the Emergency Department with a thermal burn of the trunk, back, and right upper extremity. Images were taken at initial evaluation, 6-hours post-injury, and again during daily dressing changes until hospital day five when patient underwent surgical debridement. In this patient, operative treatment was postponed until 89.7-hours post-injury, at which point the clinical exam showed clear visual demarcation in regions of irreversible damage. Comparatively, Visible Light Hyperspectral Imaging analysis of the permanently injured tissue demonstrated acute but varying changes in both oxygenated hemoglobin and deoxygenated hemoglobin at the time of initial evaluation. The most dramatic change in tissue oxygenation occurred between 6.5 and 39.3 hours, demonstrating Visible Light Hyperspectral Imaging’s ability to detect significant differences in oxygenation values between areas of second-degree superficial burns and areas of second degree deep and third degree burns in the acute period. The data suggest that the utilization of Visible Light Hyperspectral Imaging in this 6.5-39.3-hour window may help predict final burn depth before clinical assessment, potentially allowing for surgical intervention within the first 48-hours following injury.

2014 ◽  
Vol 47 (03) ◽  
pp. 441-443 ◽  
Author(s):  
Nebu C. Jacob ◽  
Adel Zarugh ◽  
Khushroo H. Suraliwala

ABSTRACTWe report a case of a 29-year-old man with a background history of incomplete quadriplegia, who sustained a second degree thermal burn of the lower limb from prolonged proximity to the extractor fan of his laptop. We have also reviewed all other reported cases of thermal burns associated with laptop use. This literature review highlights the variability in the extent of injury and the subsequent management of laptop induced burns.


2021 ◽  
Vol Online (0) ◽  
Author(s):  
R. Devi ◽  
B. K. Sarma ◽  
P. Thakuria ◽  
N. Ahmed ◽  
S. N. Yadav ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1288
Author(s):  
Cinmayii A. Garillos-Manliguez ◽  
John Y. Chiang

Fruit maturity is a critical factor in the supply chain, consumer preference, and agriculture industry. Most classification methods on fruit maturity identify only two classes: ripe and unripe, but this paper estimates six maturity stages of papaya fruit. Deep learning architectures have gained respect and brought breakthroughs in unimodal processing. This paper suggests a novel non-destructive and multimodal classification using deep convolutional neural networks that estimate fruit maturity by feature concatenation of data acquired from two imaging modes: visible-light and hyperspectral imaging systems. Morphological changes in the sample fruits can be easily measured with RGB images, while spectral signatures that provide high sensitivity and high correlation with the internal properties of fruits can be extracted from hyperspectral images with wavelength range in between 400 nm and 900 nm—factors that must be considered when building a model. This study further modified the architectures: AlexNet, VGG16, VGG19, ResNet50, ResNeXt50, MobileNet, and MobileNetV2 to utilize multimodal data cubes composed of RGB and hyperspectral data for sensitivity analyses. These multimodal variants can achieve up to 0.90 F1 scores and 1.45% top-2 error rate for the classification of six stages. Overall, taking advantage of multimodal input coupled with powerful deep convolutional neural network models can classify fruit maturity even at refined levels of six stages. This indicates that multimodal deep learning architectures and multimodal imaging have great potential for real-time in-field fruit maturity estimation that can help estimate optimal harvest time and other in-field industrial applications.


2008 ◽  
Vol 61 (5) ◽  
pp. 578-581 ◽  
Author(s):  
C. Rubino ◽  
F. Farace ◽  
A. Puddu ◽  
V. Canu ◽  
M.A. Posadinu

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Elizabeth Bellew ◽  
Samantha Lee ◽  
Hiren Patel ◽  
Carolyn Fein Levy ◽  
Rachelle Goldfisher ◽  
...  

We present a 14-year-old boy with peritoneal epithelial malignant mesothelioma (PEMM). While pathology is required to make this diagnosis, radiology plays a crucial role throughout the clinical course of this disease. The key imaging characteristics of peritoneal mesothelioma have been previously well-described in the adult population, but there are rare reports in the pediatric population. This pediatric report highlights the multidimensional use of imaging in this disease, from the initial evaluation to therapeutic supplementation and subsequent follow-up.


2013 ◽  
Vol 27 (2) ◽  
pp. 122-128
Author(s):  
Ugur Com ◽  
Volkan Unal ◽  
A. Sadi Cagdir ◽  
Ziyaettin Erdem ◽  
Erdem Hosukler
Keyword(s):  

1986 ◽  
Vol 32 (5) ◽  
pp. 857-859 ◽  
Author(s):  
J Guechot ◽  
N Lioret ◽  
L Cynober ◽  
C Letort ◽  
R Saizy ◽  
...  

Abstract Myoglobin is released into the blood after burn injury. We measured it and other analytes in blood collected from 22 burn patients two to seven times during their recovery. There was a significant correlation between myoglobinemia and creatine kinase (CK) activity in serum (r = 0.764; p less than 0.001). In a group of 14 thermal-burn subjects a correlation was found between burn depth (clinically expressed as Unit Burn Surface) and both myoglobinemia (r = 0.825; p less than 0.01) and CK activity (r = 0.686; p less than 0.01). In eight thermal-burn patients who were recovering satisfactorily, myoglobin and CK activity measured on days 2, 4, 7, 10, and 13 after injury were significantly increased (p less than 0.05) on days 2, 4, and 7. Evidently myoglobinemia and CK activity are good biological markers of burn depth, and reflect muscle damage equally well.


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