Ultrasound elastography reliably identifies altered mechanical properties of burned soft tissues

Ye, Hanglin; Rahul, *; Dargar, Saurabh; Krüger, Uwe; De, Suvranu

doi:10.1016/j.burns.2018.04.018

Cited by 15 publications

(22 citation statements)

References 29 publications

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“…As we will see in the results section, this probe has sufficient spatial resolution to capture the altered texture information in the burned tissue that is needed for burn classification. The details of the experimental protocol are described elsewhere 6 .…”

Section: Dataset the Dataset Of Ultrasound B-mode Images Of Skin Tismentioning

confidence: 99%

“…In our previous work 6 , we have shown that the ultrasound elastography can reliably differentiate between unburned and burned tissues, yet fails to identify burn severity with acceptable accuracy. We observed that the different burn conditions do not alter the stiffness of the tissues enough to yield a statistically significant difference in the elastic properties.…”

mentioning

confidence: 98%

“…The burn depth determination is subjective to expert's assessment based on A-or B-mode signals from the burn sites. In addition, our previous studies have shown that the ultrasound elastography fails to identify burn severity with acceptable accuracy when their elastic properties are not sufficiently altered to adequately contrast with the surrounding tissues 6 . To address these problems, we propose an ultrasound imaging-based machine learning approach to objectively identify altered tissue characteristics with specific application to classification of thermally treated ex vivo porcine skin tissue.…”

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confidence: 99%

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Real-time Burn Classification using Ultrasound Imaging

Lee

Rahul

et al. 2020

Sci Rep

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This article presents a real-time approach for classification of burn depth based on B-mode ultrasound imaging. A grey-level co-occurrence matrix (GLCM) computed from the ultrasound images of the tissue is employed to construct the textural feature set and the classification is performed using nonlinear support vector machine and kernel Fisher discriminant analysis. A leave-one-out cross-validation is used for the independent assessment of the classifiers. The model is tested for pair-wise binary classification of four burn conditions in ex vivo porcine skin tissue: (i) 200 °F for 10 s, (ii) 200 °F for 30 s, (iii) 450 °F for 10 s, and (iv) 450 °F for 30 s. The average classification accuracy for pairwise separation is 99% with just over 30 samples in each burn group and the average multiclass classification accuracy is 93%. The results highlight that the ultrasound imaging-based burn classification approach in conjunction with the GLCM texture features provide an accurate assessment of altered tissue characteristics with relatively moderate sample sizes, which is often the case with experimental and clinical datasets. The proposed method is shown to have the potential to assist with the real-time clinical assessment of burn degrees, particularly for discriminating between superficial and deep second degree burns, which is challenging in clinical practice.

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Section: Dataset the Dataset Of Ultrasound B-mode Images Of Skin Tismentioning

confidence: 99%

mentioning

confidence: 98%

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confidence: 99%

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Real-time Burn Classification using Ultrasound Imaging

Lee

Rahul

et al. 2020

Sci Rep

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“…Locally damaged adult skin can heal with scars but lacks the capacity to fully regenerate the complex composition of larger skin areas 1 . Severe scarring and chronic wounds after major skin burns 2 , surgeries or devastating skin diseases 3 limit skin mobility, respiration and light protection, eventually resulting in body fluid loss, life-threatening infections and skin cancer 4,5 .…”

mentioning

confidence: 99%

“…Here we introduce a dual strategy essentially based on rapid skin progenitor self-assembly into (1) spheroid vascularized organoids in vitro and (2) properly stratified rapidly vascularized human skin in vivo. The complex mixture of platelet-derived growth and regeneration factors in human platelet lysate (hPL) acted in a dose-dependent manner to orchestrate self-organization and de novo transplant vasculogenesis, virtually mimicking wound repair processes 13 in vitro as well as, after cotransplantation of human endothelial cells with fibroblasts and keratinocytes, in vivo.…”

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confidence: 99%

Self-assembly of progenitor cells under the aegis of platelet factors facilitates human skin organoid formation and vascularized wound healing

Peking

Krisch

Wolf

et al. 2020

Preprint

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Stem/progenitor cells can self-organize into organoids modelling tissue function and regeneration. Here we demonstrate that human platelet-derived factors can orchestrate 3D self-assembly of clonally expanded adult skin fibroblasts, keratinocytes and endothelial progenitors forming skin organoids within three days. Organoids showed distinct signaling patterns in response to inflammatory stimuli that clearly differed from separated cell types. Human induced pluripotent stem cell (hiPSC)-derived skin cell progenitors also self-assembled into stratified human skin within two weeks, healing deep wounds of immune-deficient mice. Co-transplantation of endothelial progenitors significantly accelerated vascularization. Mechanistically, platelet-derived extracellular vesicles mediated the platelet-derived trophic effects. Long-term fitness of epidermal cells was accelerated further by keratinocyte growth factor mRNA transfection. No tumorigenesis was observed upon xenografting. This permits novel rapid 3D skin-related pharmaceutical testing opportunities and facilitates development of iPSC-based skin regeneration strategies.

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Multifunctional Porphyrin‐Based Sonosensitizers for Sonodynamic Therapy

Chen,

Zhou,

Cao

2024

Adv Funct Materials

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Sonodynamic therapy (SDT), as a promising non‐invasive therapeutic modality combining ultrasound (US) and sonosensitizers to produce cytotoxic reactive oxygen species (ROS) for treating deep‐seated tumors, has received increasing attention in recent years. Porphyrins are multifunctional organic materials, which can be excited both by light and US to produce ROS and possess various fascinating features, including controllable synthetic processes, excellent biodegradability, low cytotoxicity without light or US. Nevertheless, their poor water solubility, skin‐photosensitive toxicity, and insufficient target specificity hinder their clinical applications as sonosensitizer. Although the target specificity issue may be improved by using nanoparticle carriers, and the SDT efficacy can be enhanced by combining with other therapeutic modalities, such combination therapy makes it more confusing about the true mechanism of SDT. This review will focus on the following points: 1) Why are porphyrin‐based sonosensitizers considered the most promising sonosensitizer for clinical applications of SDT? 2) Recent progress in the development of multifunctional porphyrin‐based sonosensitizers. 3) What new insight has been gained on the mechanism of SDT in recent years? 4) The development trend of designing more efficient multifunctional porphyrin‐based sonosensitizers and existing challenges. Finally, future perspective of practical clinical applications of SDT based on multifunctional porphyrin‐based sonosensitizers will be discussed.

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Ultrasound elastography reliably identifies altered mechanical properties of burned soft tissues

Cited by 15 publications

References 29 publications

Real-time Burn Classification using Ultrasound Imaging

Real-time Burn Classification using Ultrasound Imaging

Self-assembly of progenitor cells under the aegis of platelet factors facilitates human skin organoid formation and vascularized wound healing

Multifunctional Porphyrin‐Based Sonosensitizers for Sonodynamic Therapy

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