A porcine model for pathomorphological age assessment of surgically excised skin wounds

Barington, Kristiane; Dich-Jørgensen, Kristine; Jensen, Henrik Elvang

doi:10.1186/s13028-018-0387-3

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…In contrast, a small number of macrophages were observed in the wound region. The proportion among neutrophils and macrophages in the wound area can be used to determine wound age (33,34), and consistent with Barrington (35), macrophages appear after 10-12 hours of survival time. However, we detected the first macrophages earliest in an antemortem wound aged three h. The correlation between the number of neutrophils and macrophages may allow the differentiation of antemortem wounds during the early few hours.…”

Section: Discussionmentioning

confidence: 64%

Histopathological changes as tools to discriminate antemortem and post-mortem wounds in rats: prospective applications in forensic medicine

Al-Saheh¹,

Al-Jameel²

2023

IJVS

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Wound age estimation is one of the chief exciting subjects in forensic medicine. It is substantial to determine the most likely accurate when wounds happened, whether during antemortem or post-mortem conditions. Moreover, histological change is a method that assists available parameters in determining the antemortem and post-mortem period. This study aims to observe the histopathological changes in induced wounds to determine when the injury occurred and whether the injury occurred during antemortem or post-mortem conditions. Thirty-nine rat wound skin biopsies were studied. All samples were taken in antemortem groups at 30, 60, 180, and 360 min, and in post-mortem groups within 30, 60, 180, and 360 min with control samples (unwounded group). The skin sections were seen by microscope to observe the changes in the following criteria: the ratio and distribution of the neutrophil and macrophage, congestion and dilatation of capillaries, and degree of autolysis. For the antemortem wounds, the number of neutrophils appeared at 30 minutes and sharply increased from 60 minutes after the wound. In addition, there was an increase in macrophages from 180 min after the wound. For the post-mortem wounds in all times examined, the degree of autolysis was the best criterion for knowing the wound timing. These results propose that histopathological changes can be used as a critical criterion for finding the time of wounds and comparing antemortem and post-mortem incisional wounds in forensic medicine.

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Section: Discussionmentioning

confidence: 64%

Histopathological changes as tools to discriminate antemortem and post-mortem wounds in rats: prospective applications in forensic medicine

Al-Saheh¹,

Al-Jameel²

2023

IJVS

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“…The results were assessed through special staining techniques involving MT and picrosirius red. MT and PSR stains confirmed newly formed collagen and effectively evaluated increased collagen deposition (Barington et al 2018). Both these stainings have addable advantages in predicting the variation in levels of myofibroblast and collagen in wound healing (Owens et al 2010).…”

Section: Discussionmentioning

confidence: 92%

Comparative Evaluation of Masson's Trichrome and Picrosirius Red Staining for Digital Collagen Quantification Using ImageJ in Rabbit Wound Healing Research

Sharun,

Banu,

Mamachan

et al. 2023

J Exp Bio & Ag Sci

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The therapeutic potential of Pluronic F127 (PF127) hydrogel loaded with adipose-derived stromal vascular fraction (AdSVF), mesenchymal stem cells (AdMSC), and conditioned media (AdMSC-CM) for repairing full-thickness skin wounds was evaluated using a rabbit model. The rabbits were randomly divided into eight groups with six animals each and treatment was given as per the predetermined protocol (3 doses at one-week interval): Group A (Control), Group B (AdSVF), Group C (AdMSC), Group D (AdMSC-CM), Group E (PF127), Group F (AdSVF + PF127), Group G (AdMSC + PF127), and Group H (AdMSC-CM + PF127). Skin tissue samples were collected from the healing wounds on day 28 for staining and collagen quantification. Collagen density (Area %) was quantified using tissue sections stained with Masson's Trichrome (MT) and Picrosirius Red (PSR) stain using the Colour Deconvolution plugin of ImageJ and RGB stack method, respectively. These techniques function based on separating different colour channels in the stained tissue sections to isolate the collagen fibers and then quantifying them through thresholding and image analysis. Across the treatment groups, both staining methods generally showed a trend of increased collagen density compared to the control group. For most groups, PSR staining consistently indicated slightly lower collagen densities than MT staining. However, the overall trends were similar in both staining. The comparison between PSR and MT staining methods revealed that both techniques effectively assess collagen density in healing wounds. However, there were subtle differences in the absolute values obtained, with PSR staining tending to yield slightly lower collagen density measurements than MT. These differences can be attributed to the distinct mechanisms of these staining methods. Therefore, both staining methods can digitally quantify collagen density in wound healing research.

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“…A total of 28 Hematoxylin and Eosin (H&E) stained skin tissue samples were scored by a certified Research Veterinary Pathologist for histopathological changes such as inflammation, granulation tissue, collagen deposition, epithelization and neovascularization based on the score pattern described by Barington et al ( 40 ). The infiltration of polymorphonuclear cells (PMNCs) persist in inoculated biopsy skin samples from days one though six, decreasing in distribution until day five, with a sudden increase in presence on days three and six.…”

Section: Resultsmentioning

confidence: 99%

The detection and prediction of surgical site infections using multi-modal sensors and machine learning: Results in an animal model

Hughes

Jeffers²,

Sethuraman³

et al. 2023

Front. Med. Technol.

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IntroductionSurgical Site Infection (SSI) is a common healthcare-associated infection that imposes a considerable clinical and economic burden on healthcare systems. Advances in wearable sensors and digital technologies have unlocked the potential for the early detection and diagnosis of SSI, which can help reduce this healthcare burden and lower SSI-associated mortality rates.MethodsIn this study, we evaluated the ability of a multi-modal bio-signal system to predict current and developing superficial incisional infection in a porcine model infected with Methicillin Susceptible Staphylococcus Aureus (MSSA) using a bagged, stacked, and balanced ensemble logistic regression machine learning model.ResultsResults demonstrated that the expression levels of individual biomarkers (i.e., peri-wound tissue oxygen saturation, temperature, and bioimpedance) differed between non-infected and infected wounds across the study period, with cross-correlation analysis indicating that a change in bio-signal expression occurred 24 to 31 hours before this change was reflected by clinical wound scoring methods employed by trained veterinarians. Moreover, the multi-modal ensemble model indicated acceptable discriminability to detect the presence of a current superficial incisional SSI (AUC = 0.77), to predict an SSI 24 hours in advance of veterinarian-based SSI diagnosis (AUC = 0.80), and to predict an SSI 48 hours in advance of veterinarian-based SSI diagnosis (AUC = 0.74).DiscussionIn sum, the results of the current study indicate that non-invasive multi-modal sensor and signal analysis systems have the potential to detect and predict superficial incisional SSIs in porcine subjects under experimental conditions.

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A porcine model for pathomorphological age assessment of surgically excised skin wounds

Cited by 9 publications

References 14 publications

Histopathological changes as tools to discriminate antemortem and post-mortem wounds in rats: prospective applications in forensic medicine

Histopathological changes as tools to discriminate antemortem and post-mortem wounds in rats: prospective applications in forensic medicine

Comparative Evaluation of Masson's Trichrome and Picrosirius Red Staining for Digital Collagen Quantification Using ImageJ in Rabbit Wound Healing Research

The detection and prediction of surgical site infections using multi-modal sensors and machine learning: Results in an animal model

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