• Archives of Plastic Surgery
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• v.37 no.1
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• pp.1-6
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• 2010

Purpose: Diabetic foot infection is one of the most common and severe complications of diabetes mellitus that delays healing of the wound. Deep tissue biopsy is considered to be the gold standard method for antibiotic selection in treating infected chronic diabetic ulcers. However, swab culture or superficial tissue biopsy is often performed for a microbiologic test since deep tissue biopsy has limitations in application. The purpose of this study is to find out whether microbiologic results of swab culture or superficial tissue biopsy could be used for selection of antibiotics in treating diabetic ulcers. Methods: This study involved 42 patients with diabetic foot ulcers with negative results in bone probing test. Tissue samples for microbiologic tests were collected from all the patients by using superficial cotton swab, superficial tissue, and deep tissue. The microbiologic results of deep tissue biopsy were compared with swab culture and superficial tissue biopsy statistically. Results: Microbiology of the deep tissue showed the same results with those of the swab culture and superficial tissue in 67% and 71%, respectively. Statistical analysis demonstrated that the microbiology of the swab culture and superficial tissue does not coincide with that of the deep tissue. Conclusion: These results suggest that the microbiology of the swab culture and superficial tissue is not concordant with that of the deep tissue in infected chronic diabetic ulcers. To select appropriate antibiotic regimen, the speci specimen for the microbiologic test should be obtained from deep tissue.

• Journal of Korean Medicine for Obesity Research
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• v.7 no.2
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• pp.15-25
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• 2007

Objectives In clinical studies, the visceral fat obesity has been emphasized because of its correlation with the metabolic syndrome. But the subcutaneous adipose tissue also would correlate with the risk factor of metabolic syndrome. Especially deep tissue, which is a subdivision of the subcutaneous adipose tissue would be more related. This study is to investigate the relationship between subcutaneous adipose tissue and various diseases. Methods We searched for papers which had subcutaneous adipose tissue, deep subcutaneous adipose tissue and obesity for subjects in the Pubmed site. Results : 24 papers were found. Subcutaneous adipose tissue, deep subcutaneous adipose tissue especially, was related with the insulin resistance, metabolic syndrome, sex hormones and other diseases. Conclusions Subcutaneous adipose tissue is a risk factor of insulin resistance but not lipoprotein. But deep subcutaneous adipose tissue was related with lipoprotein. So deep tissue, which is a subdivision of the subcutaneous adipose tissue is a more important risk factor of the metabolic syndrome.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.10 no.1
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• pp.57-65
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• 2004

The main purpose of this article is to make a handy Deep Friction Massager by using DFM in based on Dr. Cyriax's manual medicine. Also this study's aimed to heal soft tissue lesions - low back pain, neck pain, tennis elbow, golfer's elbow, frozen shoulder, myofibrosis etc. - which has resolved adhesion scar tissue problem in soft tissue. The results of this study were as followings ; 1. Deep friction massager has a effect not only massage but also healing, because it is broken the physiologic bridge of scar tissue in soft tissue. 2. It is possible to reduce the fatigue and effort of therapists during the deep friction massage. 3. Deep friction massager is made of handy form, so it is very convenient of using and application to patients.

• Archives of Plastic Surgery
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• v.36 no.4
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• pp.417-421
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• 2009

Purpose: Dermatofibrosarcoma protuberans(DFSP) is a moderate - degree malignant tumor of soft tissue from dermis to fat layer with high recurrences(11% to 73%) due to its local infiltrative characteristic. Many debates and controversies in deciding accurate surgical margin were presented before, but references about depth of invasion and appropriate surgical excision level were not properly made out. Therefore, we tried to identify the degree of tissue invasion of DFSP. Methods: Twenty patients, including 8 patients with recurrent lesions, over last 10 years were reviewed retrospectively. Different surgical margins were applied according to the location and based on histopathologic result, we have defined as a 'deep tissue invasion' if there were infiltration of tumor cell into fascia or underlying muscle layer was present. All invaded tissue including dermis, fat, fascia and muscle were excised until no tumor cell was found during intraoperative frozen section biopsy. And comparative analysis of deep tissue invasion according to age, primary site, duration of disease and recurrence was done. Results: Thirteen patients(65%) showed deep tissue invasion and incidence was found to be increasing with age(over 30 years old). All patients with DFSP on head and neck region revealed deep tissue invasion followed by trunk(54%) and lower extremities(50%). There was no relationship between duration of disease and deep tissue invasion. Conclusions: It is clear that many cases of DFSP had a deep tissue invasion. And high prevalence of deep tissue invasion with age, primary site was intimately associated. So, underlying deep tissue must be completely examined and excised sufficiently throughout the operation for clear resection of DFSP with no recurrences, especially when age is over 30s and on head and neck region.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.279-287
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• 2020

This study aims to put forth an efficient way of improving body shapes by examining the effects of deep tissue massage and illite-combined deep tissue massage on body shape changes, and identifying body shape changes when applying each method. This study targeted twenty women in their thirties, and ten separate subjects were placed in different groups. Then deep tissue massage and illite-combined deep tissue massage were performed once a week, for a total of eight weeks. Moire Topography was applied before the experiments, four weeks later and eight weeks later to compare changes in spinous process inclination, shoulders and hips. The data collected were analyzed using SPSS v. 21.0, and the study results are as follows. In relation to general characteristics of the subjects, professionals occupied the highest proportion of them, and 90% of them were married. Here, 77.8% of them had experience in giving birth, and 78.6% of them chose natural birth. In addition, 57.1% of the subjects holding a majority had two children. When measuring spinous process inclination, shoulders and hips in the illite-combined deep tissue massage group and in the deep tissue massage group before the experiments, the illite-combined deep tissue massage group showed somewhat higher values in every area than the deep tissue massage group, but no statistically significant differences were not found, which means the homogeneity existed between them. When comparing body shape changes between the two massage methods, there were significant differences(p<.05, p<.01), because the illite-combined deep tissue massage group showed a much higher decline in spinous process inclination, shoulders and hips than the deep tissue massage group. This implies illite-combined deep tissue massage was more effective in improving body shapes than deep tissue massage. Therefore, illite-combined deep tissue massage is considered to be helpful in improving body shapes, and it is anticipated that this massage method can be used in relevant fields, including the skin care industry.

• Biomolecules & Therapeutics
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• v.30 no.2
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• pp.179-183
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• 2022

Traditionally, pathologists microscopically examine tissue sections to detect pathological lesions; the many slides that must be evaluated impose severe work burdens. Also, diagnostic accuracy varies by pathologist training and experience; better diagnostic tools are required. Given the rapid development of computer vision, automated deep learning is now used to classify microscopic images, including medical images. Here, we used a Inception-v3 deep learning model to detect mouse lung metastatic tumors via whole slide imaging (WSI); we cropped the images to 151 by 151 pixels. The images were divided into training (53.8%) and test (46.2%) sets (21,017 and 18,016 images, respectively). When images from lung tissue containing tumor tissues were evaluated, the model accuracy was 98.76%. When images from normal lung tissue were evaluated, the model accuracy ("no tumor") was 99.87%. Thus, the deep learning model distinguished metastatic lesions from normal lung tissue. Our approach will allow the rapid and accurate analysis of various tissues.

• Journal of Multimedia Information System
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• v.6 no.2
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• pp.81-86
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• 2019

Deep learning is emerging as one of the best tool in processing data related to medical imaging. In our research work, we have proposed a deep learning based framework CNN (Convolutional Neural Network) for the classification of dysplastic tissue images. The CNN has classified the given images into 4 different classes namely normal tissue, mild dysplastic tissue, moderate dysplastic tissue and severe dysplastic tissue. The dataset under taken for the study consists of 672 tissue images of epithelial squamous layer of oral cavity captured out of the biopsy samples of 52 patients. After applying the data pre-processing and augmentation on the given dataset, 2688 images were created. Further, these 2688 images were classified into 4 categories with the help of expert Oral Pathologist. The classified data was supplied to the convolutional neural network for training and testing of the proposed framework. It has been observed that training data shows 91.65% accuracy whereas the testing data achieves 89.3% accuracy. The results produced by our proposed framework are also tested and validated by comparing the manual results produced by the medical experts working in this area.

• Journal of the Korean Society of Visualization
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• v.8 no.4
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• pp.54-59
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• 2010

A laser moxibustion therapy device having effect similar to that of traditional moxibustion is being developed using 1064 nm infrared laser. The therapy device allows direct interaction of laser light with the tissue rendering temperature distribution both on the skin surface and deep under the skin. We made a device that could measure temperature of deep under the surface of agar gel tissue phantom using thermocouples. A thermal imaging camera was used to verify results from the temperature measurement device. We compared the characteristics of heat transfer inside the tissue phantom during moxibustion and laser irradiation. The temperature distribution measured by thermocouples was found to be similar to that of distribution given by thermal imaging camera.

• The Korean Journal of Physiology and Pharmacology
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• v.24 no.1
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• pp.89-99
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• 2020

Although microscopic analysis of tissue slides has been the basis for disease diagnosis for decades, intra- and inter-observer variabilities remain issues to be resolved. The recent introduction of digital scanners has allowed for using deep learning in the analysis of tissue images because many whole slide images (WSIs) are accessible to researchers. In the present study, we investigated the possibility of a deep learning-based, fully automated, computer-aided diagnosis system with WSIs from a stomach adenocarcinoma dataset. Three different convolutional neural network architectures were tested to determine the better architecture for tissue classifier. Each network was trained to classify small tissue patches into normal or tumor. Based on the patch-level classification, tumor probability heatmaps can be overlaid on tissue images. We observed three different tissue patterns, including clear normal, clear tumor and ambiguous cases. We suggest that longer inspection time can be assigned to ambiguous cases compared to clear normal cases, increasing the accuracy and efficiency of histopathologic diagnosis by pre-evaluating the status of the WSIs. When the classifier was tested with completely different WSI dataset, the performance was not optimal because of the different tissue preparation quality. By including a small amount of data from the new dataset for training, the performance for the new dataset was much enhanced. These results indicated that WSI dataset should include tissues prepared from many different preparation conditions to construct a generalized tissue classifier. Thus, multi-national/multi-center dataset should be built for the application of deep learning in the real world medical practice.

• Archives of Plastic Surgery
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• v.43 no.6
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• pp.586-589
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• 2016

A pressure sore wound is often extensive or complicated by local infection involving adjacent soft tissue and bone. In this case, a regional flap after simple debridement is not adequate. Here, we present a case of an extensive pressure sore in the sacral area with deep tissue infection. A 43-year-old female patient with a complicated sore with deep tissue infection had a presacral abscess, an iliopsoas abscess, and an epidural abscess in the lumbar spine. After a multidisciplinary approach performed in stages, the infection had subsided and removal of the devitalized tissue was possible. The large soft tissue defect with significant depth was reconstructed with a free latissimus dorsi musculocutaneous flap, which was expected to act as a local barrier from vertical infection and provide tensionless skin coverage upon hip flexion. The extensive sacral sore was treated effectively without complication, and the deep tissue infection completely resolved. There was no evidence of donor site morbidity, and wheelchair ambulation was possible by a month after surgery.