Detection and Classification of Granulation Tissue in Chronic Ulcers

2011 ◽  
pp. 139-150 ◽  
Author(s):  
Ahmad Fadzil M. Hani ◽  
Leena Arshad ◽  
Aamir Saeed Malik ◽  
Adawiyah Jamil ◽  
Felix Yap Boon Bin
Keyword(s):  
Granulation Tissue ◽  
Chronic Ulcers

scholarly journals APLICATIVO MÓVEL DE PROCESSAMENTO DE IMAGENS DIGITAIS PARA CLASSIFICAÇÃO AUTOMÁTICA DE TECIDOS DE LESÕES POR PRESSÃO

2020 ◽  
Vol 10 (7) ◽  
Author(s):  
Huara Paiva Castelo Branco ◽  
Levy Aniceto Santana ◽  
Rinaldo De Souza Neves ◽  
Renato Da Veiga Guadagnin
Keyword(s):  
Image Processing ◽  
Pressure Ulcer ◽  
Granulation Tissue ◽  
Mobile Application ◽  
Tissue Characterization ◽  
Controlled Study ◽  
Pressure Injury ◽  
Automated Technique ◽  
Complex Wounds

Objetivo: avaliar o desempenho de uma técnica automática para extração de características dos tipos de tecidos de lesões por pressão por processamento de imagens digitais, embutida em um aplicativo móvel (App) para smartphones. Metodologia: estudo transversal controlado, realizado em 20 imagens de lesões sacrais e trocantéricas. Aferiu-se a concordância na caracterização tecidual presente no leito das lesões entre o App e um comitê de juízes. Resultados: a precisão global do App na identificação de granulação, liquefação e coagulação foi de 75%. Constatou-se independência intraobservador nos desfechos das aferições realizadas pelo aplicativo. Conclusões: o App obteve desfechos promissores ao classificar os tipos de tecidos inviáveis e granulação, sendo necessário aprimoramento do desempenho em feridas complexas e de outras etiologias.Descritores: Lesão por Pressão, Fotografia, Smartphone.MOBILE IMAGING APP FOR AUTOMATIC CLASSIFICATION OF PRESSURE INJURY TISSUESObjective: to evaluate the performance of an automated technique for extraction of characteristics of the types of tissues from pressure lesions by digital image processing, inserted in a mobile application (App) for smartphones. Methodology: crosssectional, controlled study of 20 images of sacral and trochanteric lesions. The concordance in the tissue characterization present in the center of the lesions between the App and a committee of judges was checked. Results: the overall accuracy of the App in the identification of granulation, liquefaction and coagulation was 75%. Intraobserver independence was observed in the results of the measurements performed by the application. Conclusions: the App obtained promising outcomes classifying non-viable tissue types and granulation tissue, and an improvement of the app’s performance is necessary in complex wounds and other etiologies.Descriptores: Pressure Ulcer, Photography, Smartphone.APLICACIÓN MÓVIL DE PROCESAMIENTO DE IMÁGENES DIGITALES PARA LA CLASIFICACIÓN AUTOMÁTICA DE LOS TEJIDOS DE LESIÓN POR PRESIÓNObjetivo: evaluar el rendimiento de una técnica automática para extraer características de los tipos de tejido de las lesiones por presión mediante el procesamiento digital de imágenes, incorporado en una aplicación móvil para smartphone. Metodología: estudio transversal controlado hecho en 20 imágenes de lesiones trocantéricas y en la región sacro. Se verificó la concordancia en la caracterización de los tejidos presentes en el lecho de las lesiones entre la aplicación y un comité de jueces. Resultados: la precisión general de la aplicación en la identificación de tejidos presentes en el lecho de las LPP (lesiones por presión) fue de 75%. Se comprobó la independencia intraobservadora en los puntos finales de las mediciones realizadas por la aplicación. Conclusiones: la aplicación obtuvo resultados promisorios al evaluar los tipos de tejidos no viables y granulación y es necesario prefeccionar el desempeño en heridas complejas y de otras etiologías.Descriptores: Úlcera por Presión, Fotografía, Teléfono Inteligente.

scholarly journals A study to compare the effect of topical phenytoin dressing and conventional saline dressing in chronic non-healing ulcers

2021 ◽  
Vol 8 (7) ◽  
pp. 2078
Author(s):  
Manoj V. V. ◽  
Biju Stephen
Keyword(s):  
Hospital Stay ◽  
Granulation Tissue ◽  
Microbial Infection ◽  
Duration Of Hospital Stay ◽  
Venous Ulcers ◽  
Number Of Patients ◽  
Serous Discharge ◽  
Healing Wound ◽  
Quality Of Living ◽  
Chronic Ulcers

Background: Chronic non-healing ulcers; particularly diabetic and venous ulcers impose a major healthcare burden and affect quality of living. Efficacy of conventional strategies used for treatment of chronic non-healing ulcers is limited due to factors like microbial infection, necrotic tissues, tissue hypoxia, and other prevailing co-morbidities. The aim of the study was to compare efficiency of topical phenytoin-based dressings to conventional saline-based dressings for treatment of chronic non-healing wound ulcers.Methods: A prospective observational study was conducted on 60 patients who were divided in two groups. First group received conventional saline dressing-based treatment and second received topical phenytoin dressing based treatment for chronic non-healing ulcers. Efficiency of the treatment strategy was determined by statistically comparing parameters like duration of hospital stay, nature of discharge, appearance of healthy granulation tissue, and pus culture evaluation upon admission and post one and two weeks of treatment.Results: Diabetes and trauma were observed to be two major causes of chronic non-healing ulcers. No cases of venous impairment and osteomyelitis were observed in participating patients. Topical phenytoin dressing based treatment significantly reduced the duration of hospital stay and number of patients with serous discharge and aided in rapid formation of healthy granulation tissue in comparison to conventional saline based dressings. Topical phenytoin dressings also prevented microbial infection and colonization on chronic non-healing ulcers.Conclusions: Topical phenytoin-based dressing was concluded to efficiently and rapidly heal chronic ulcers while preventing microbial infection in comparison to conventional saline-based dressings.

Injection of Illicit Drugs Into the Granulation Tissue of Chronic Ulcers

1990 ◽  
Vol 24 (3) ◽  
pp. 268-270 ◽  
Author(s):  
Michael R. Abidin ◽  
Marc A. Gillinov ◽  
Bruce M. Topol ◽  
Thomas J. Francel
Keyword(s):  
Granulation Tissue ◽  
Illicit Drugs ◽  
Chronic Ulcers

scholarly journals Effect of limited access dressing on hydroxyproline and enzymatic antioxidant status in nonhealing chronic ulcers

2014 ◽  
Vol 47 (02) ◽  
pp. 216-220 ◽  
Author(s):  
Thittamaranahalli Muguregowda Honnegowda ◽  
Pramod Kumar ◽  
Padmanabha Udupa ◽  
Pragna Rao ◽  
Siddhartha Bhandary ◽  
...  
Keyword(s):  
Wound Healing ◽  
Glutathione Peroxidase ◽  
Granulation Tissue ◽  
Total Protein ◽  
Antioxidant Status ◽  
Enzymatic Antioxidants ◽  
Anabolic Effect ◽  
Glutathione S Transferase ◽  
Limited Access ◽  
Chronic Ulcers

ABSTRACT Background: Healing ability of nonhealing chronic ulcers can be assessed by estimating hydroxyproline, total protein and enzymatic antioxidants such as glutathione peroxidase (GPx), glutathione S-transferase (GST) in the granulation tissue. Materials and Method: A total of 34 patients were analysed from two groups: Limited access dressing (LAD) group (n = 17) and conventional dressing group (n = 17). Results: Patients treated with LAD that exerts combination of intermittent negative pressure and moist wound-healing had shown a significant increase in the hydroxyproline (P = 0.026), total protein (P = 0.004), GPx level (P = 0.030) and GST level (P = 0.045). Conclusion: Patients treated with LAD indicated significantly better anabolic effect on wound-healing compared to that of patients treated with conventional dressing.

Utility of Skin Biopsy and Culture in the Diagnosis and Classification of Chronic Ulcers

2019 ◽  
Vol 41 (5) ◽  
pp. 343-346 ◽  
Author(s):  
Shiva Khoobyari ◽  
Timothy I. Miller ◽  
Michi M. Shinohara
Keyword(s):  
Skin Biopsy ◽  
Diagnosis And Classification ◽  
Chronic Ulcers

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

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