A comparative evaluation of spectrophotometric intracutaneous analysis and laser doppler imaging in the assessment of adult and paediatric burn injuries

Charuvila, Somy; Singh, Masha; Collins, Declan; Jones, Isabel

doi:10.1016/j.bjps.2018.03.014

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…But as demonstrated already by the informative interviews of centers without LDI, costs definitely can present a barrier. Not only the purchase of an LDI device (around 70,000 euro) has to be taken into account, but also the recommended maintenance contract with a yearly cost varying from s2400 to s9000 [46,54]. In 61.5% of the burn centers (16/26), the hospital or the department covers the cost of purchase and maintenance of LDI without any revenue in return.…”

Section: Financial Barriersmentioning

confidence: 99%

The LDI Enigma, Part I: So much proof, so little use

Claes

Hoeksema

Robbens

et al. 2021

Burns

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Section: Financial Barriersmentioning

confidence: 99%

The LDI Enigma, Part I: So much proof, so little use

Claes

Hoeksema

Robbens

et al. 2021

Burns

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“…B. Recell), die es erlauben, intraoperativ unmittelbar nach der Spalthautentnahme diese Suspension zur direkten Sprüh-Anwendung zu präparieren. Diese reicht für eine Fläche von 100-300 cm 2 . Bei Verwendung von gemeshten Hauttransplantaten kann die direkte anschließende Anwendung autologer Hautzellen das ästhetische Ergebnis verbessern durch Verminderung der Sichtbarkeit der Gitterstruktur eines "Mesh-Musters".…”

Section: Transplantation Autologer Hautzellenunclassified

Aktuelle Behandlungsmethoden bei Verbrennungen der Hände

Menke

Pierson²,

Parodi³

2019

Handchir Mikrochir plast Chir

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ZusammenfassungThermische Verletzungen im Bereich der Hände gehören zu den häufigsten Verletzungen. Auch weisen die meisten Patienten mit ausgedehnten Verbrennungen eine Beteiligung der Hände auf. Der Wiederherstellung dieser Körperregion kommt aufgrund vielfältiger Aufgaben in Form, Funktion und Ästhetik eine herausragende Bedeutung zu. Die dargestellten aktuellen Behandlungskonzepte der letzten Jahre sind geprägt von einer Reduzierung der Invasivität, vermehrter Selektivität der Nekrektomie und einer Förderung der natürlichen Regeneration mit anatomiegerechter Rekonstruktion bzw. Restitution.

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“…Similarly, the study in [2] finds that nearly half a million Americans are affected by thermal injuries each year with almost 40,000 hospital admissions. The severity of burn injuries varies from superficial burns that heal within 14 days to most complicated deeper (fullthickness) burns that last for more than 3 weeks to heal and requires surgical management [3].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Human Skin Burns: A Deep Transfer Learning Approach

2020

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Purpose Accurate assessment of burns is increasingly sought due to diagnostic challenges faced with traditional visual assessment methods. While visual assessment is the most established means of evaluating burns globally, specialised dermatologists are not readily available in most locations and assessment is highly subjective. The use of other technical devices such as Laser Doppler Imaging is highly expensive while rate of occurrences is high in low-and middle-income countries. These necessitate the need for robust and cost-effective assessment techniques thereby acting as an affordable alternative to human expertise. Method In this paper, we present a technique to discriminate skin burns using deep transfer learning. This is due to deficient datasets to train a model from scratch, in which two dense and a classification layers were added to replace the existing top layers of pre-trained ResNet50 model. Results The proposed study was able to discriminate between burns and healthy skin in both ethnic subjects (Caucasians and Africans). We present an extensive analysis of the effect of using both homogeneous and heterogeneous datasets when training a machine learning algorithm. The findings show that using homogenous dataset during training process produces a biased diagnostic model towards minor racial subjects while using heterogeneous datasets produce a robust diagnostic model. Recognition accuracy of up to 97.1% and 99.3% using African and Caucasian datasets respectively were achieved. Conclusion We concluded that it is feasible to have a robust diagnostic machine learning model for burns assessment that can be deployed to remote locations faced with access to specialized burns specialists, thereby aiding in decision-making as quick as possible

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A comparative evaluation of spectrophotometric intracutaneous analysis and laser doppler imaging in the assessment of adult and paediatric burn injuries

Cited by 8 publications

References 28 publications

The LDI Enigma, Part I: So much proof, so little use

The LDI Enigma, Part I: So much proof, so little use

Aktuelle Behandlungsmethoden bei Verbrennungen der Hände

Assessment of Human Skin Burns: A Deep Transfer Learning Approach

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