• Title/Summary/Keyword: Blood features

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Clinical Study of Atopic Dermatitis ; the Classification of Oriental Medical Clinical type and Treatment (아토피 피부염 환자에 대한 임상적 연구; 한의학적인 임상유형분류 및 치료)

  • 윤화정;고우신
    • The Journal of Korean Medicine
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    • v.22 no.2
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    • pp.10-21
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    • 2001
  • Objectives : Atopic dermatitis(AD) assume an remarkable clinical aspect and it s diagnosis almost depends on clinical symptoms. Therefore, we aimed to study the clinical diagnostic standard of AD for more accurate treatment. We repert as follows; Methods : For 6 months from March to August in 2000 we selected fifty outpatients who were prognosis of AD in the department of dermatology, Oriental medical hospitol, Dong-eui University. Results and Conclusions : 1. We classified of the grade, the condition of AD patient was slight and severe, by the sum of total by the clinical index of AD (diagnostic features). 2. By consulting previous oriental medical theories, we divided symptom-complex of AD into two type ; one was damp-heat type and the other was deficiency of blood- wind-dryness type. 3. Male to female ratio was 17 : 33 and the third stage, more than half of the patients were adolescents. 4. According to the results of symptom-complex of AD patients, on the first examination damp-heat type was more than deficiency of blood-wind-dryness type and in progressing treatment, the condition has been change to deficiency of blood-wind-dryness type. 5. In the lesions of AD, arm and knee were most serious skin lesions and in symptoms of AD, pruritus was most complained, and in progressing treatment, erosion and erythema were greatly improved. 6. When we measured the levels of serum Total IgE, that of thirty eight patientswere higher than that of normal, but elevation of serum IgE levels was not correlated with the severity of AD.

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A Study on Automatic Classification System of Red Blood Cell for Pathological Diagnosis in Blood Digitial Image (혈액영상에서 병리진단을 위한 적혈구 세포의 자동분류에 관한 연구)

  • 김경수;김동현
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.1
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    • pp.47-53
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    • 1999
  • In medical field, the computer has been used in the automatic processing of data derived in hospital. the automation of diagonal devices, and processing of medical digital images. In this paper, we classify red blood cell into 16 class including normal cell to the automation of blood analysis to diagnose disease. First, using UNL Fourier and invariant moment algorithm, we extract features of red blood cell from blood cell image and then construct multi-layer backpropagation neural network to recognize. We proof that the system can give support to blood analyzer through blood sample analysis of 10 patients.

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Blood-brain barrier-on-a-chip for brain disease modeling and drug testing

  • Cui, Baofang;Cho, Seung-Woo
    • BMB Reports
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    • v.55 no.5
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    • pp.213-219
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    • 2022
  • The blood-brain barrier (BBB) is an interface between cerebral blood and the brain parenchyma. As a gate keeper, BBB regulates passage of nutrients and exogeneous compounds. Owing to this highly selective barrier, many drugs targeting brain diseases are not likely to pass through the BBB. Thus, a large amount of time and cost have been paid for the development of BBB targeted therapeutics. However, many drugs validated in in vitro models and animal models have failed in clinical trials primarily due to the lack of an appropriate BBB model. Human BBB has a unique cellular architecture. Different physiologies between human and animal BBB hinder the prediction of drug responses. Therefore, a more physiologically relevant alternative BBB model needs to be developed. In this review, we summarize major features of human BBB and current BBB models and describe organ-on-chip models for BBB modeling and their applications in neurological complications.

The study on the penetration and washing features of blood on the surface of fabric (천에 혈액이 침투되는 특성 및 침투된 혈액이 세탁되는 특성 연구)

  • Kim, Yeounjeung;Lim, Jaehee;Hong, Sungwook
    • Analytical Science and Technology
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    • v.30 no.5
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    • pp.270-278
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    • 2017
  • The absorption of blood onto the surfaces of white cotton, polyester, rayon, and nylon fabrics was studied. Different categories of fabrics (woven and knitted) with diverse thickness, were manually folded twice to obtain four fabric layers, and $100{\mu}L$ of human blood was dropped onto the surface of the fabrics. The amount of blood that penetrated the fabric layer and the shape of bloodstain observed on the fabrics were influenced by the chemistry, thickness, and texture of the fabric. The blood bearing fabrics were left to dry for 3 days, washed by hand using tap water, and Lumiscene was then sprayed onto the fabrics to enhance the latent bloodstain for comparison of the shape of the bloodstain before and after washing by hand. The features of the bloodstain after washing varied greatly with the recipient fabrics. Additionally, stronger luminescence was observed at the surface where the blood was deposited compared to the background. However, it was confirmed that physical contact during the washing can deform the original shape of the bloodstain. The effect of the drying time on the bloodstain after hand washing was also studied. $100{\mu}L$ of blood was dropped on the surfaces of the fabrics and dried for 0, 1, 12, 24, 72 h, and 7 days, then washed by hand, before the bloodstain was enhanced with Lumiscene. The results of this experiment indicated that the increased drying time induces stronger chemiluminescence of Lumiscene. However, after drying of the bloodstain for 7 days, the luminescence of the bloodstain was decreased at the blood deposited site and increased around the blood deposited site.

Microfluidic Method for Measurement of Blood Viscosity based on Micro PIV (Micro PIV 를 기반한 혈액 점도 측정 기법)

  • Hong, Hyeonji;Jung, Mirim;Yeom, Eunseop
    • Journal of the Korean Society of Visualization
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    • v.15 no.3
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    • pp.14-19
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    • 2017
  • Increase of blood viscosity significantly changes the flow resistance and wall shear stress which are related with cardiovascular diseases. For measurement of blood viscosity, microfluidic method has proposed by monitoring pressure between sample and reference flows in the downstream of a microchannel with two inlets. However, it is difficult to apply this method to unknown flow conditions. To measure blood viscosity under unknown flow conditions, a microfluidic method based on micro particle image velocimetry(PIV) is proposed in this study. Flow rate in the microchannel was estimated by assuming velocity profiles represent mean value along channel depth. To demonstrate the measurement accuracy of flow rate, the flow rates measured at the upstream and downstream of a T-shaped microchannel were compared with injection flow rate. The present results indicate that blood viscosity could be reasonably estimated according to shear rate by measuring the interfacial width and flow rate of blood flow. This method would be useful for understanding the effects of hemorheological features on the cardiovascular diseases.

Lack of Any Relationship between ABO and Rh Blood Groups and Clinicopathological Features in Patients with Gastrointestinal Stromal Tumors: Turkish Oncology Group

  • Urun, Yuksel;Utkan, Gungor;Yalcin, Suayib;CosKun, Hasan Senol;Kocer, Murat;Ozdemir, Nuriye Yildirim;Kaplan, Mehmet Ali;Arslan, Ulku Yalcintas;Ozdemir, Feyyaz;Oztuna, Derya;Akbulut, Hakan;Icli, Fikri
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.8
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    • pp.4129-4131
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    • 2012
  • Background: An association between the ABO blood group and the risk of certain malignancies, including pancreatic and gastric cancer, has been reported previously. However, it is unclear whether this association is valid for gastrointestinal stromal tumors (GIST). In this study, ABO blood groups and the Rh factor were investigated in a series of GIST cases. Material and Methods: In 162 patients with GIST, blood group and Rh factor were examined and compared with a control group of 3,022,883 healthy volunteer blood donors of the Turkish Red Crescent between 2004 and 2011. The relationship of blood groups with tumor size, mitotic activity, and age were also evaluated. Results: Overall, the ABO blood group and Rh factor distributions of the 162 patients with GIST were similar to those of the general population. There were no significant differences between both ABO blood types and Rh factor in terms of tumor size, mitotic activity, and age. Conclusion: This is the first study reported on this issue. In our study, we didn't find any relationship between GIST and ABO blood group and Rh factor. However further studies with larger number of patients are needed to establish the role of blood groups in this population.

Clinical Features of Patients with Esophageal and Second Primary Cancers

  • Tsai, Huang-Wen;Chang, Chih-Chun;Sun, Jen-Tang;Liou, Ching-Biau;Lin, Hsiu-Chen;Lin, I-Hsin;Yu, Yun-Chieh;Weng, Wei-Ling;Leong, Ka-I;Yen, Tzung-Hai;Wu, Jiann-Ming
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.9831-9834
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    • 2014
  • Background: The prevalence of esophageal cancer (EC) with second primary cancers (SPC) is increasing worldwide. This study was aimed to understand the clinical features of EC patients with SPC in the Taiwanese population. Materials and Methods: Clinical and laboratory data for 180 EC patients with or without SPC were collected between January 2009 and December 2013. Information on treatment approaches, location of SPCs and ABO blood type were also collected and stratified. Results: The most common SPC in EC patients was hypopharyngeal cancer, followed by laryngeal cancer and hepatocellular carcinoma in our study. Malignancies of colon, prostate and lung were also found. There was a significant higher portion of blood type A in the EC patients with SPC compared with those without (42.4% vs 19.5%, P=0.006). Conclusions: The frequency and SPC site distribution and blood type A should be considered in clinical evaluation of EC patients with a high risk of developing SPC in the Taiwanese population.

A noble RBC aggregometer with vibration-induced disaggregation mechanism

  • Shin S.;Jang J.H.;Park M.S.;Ku Y.H.;Suh J.S.
    • Korea-Australia Rheology Journal
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    • v.17 no.1
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    • pp.9-13
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    • 2005
  • The aggregation of red blood cells (RBCs) is a major determinant of blood flow resistance passing through various veins. Available techniques for measuring RBC aggregation often require pretreating and washing after each measurement, which is not optimal for day-to-day clinical use. A laser reflection technique has been combined with a vibration-aided disaggregation mechanism, which shows significant advances in aggregometer design, operation and data analysis. The essential features of this design are in its simplicity and a disposable element that is in contact with the blood sample. Using extremely small quantities of blood, the RBCs subjected to vibrations can be quickly and completely disaggregated. This is followed by measuring the backscattered light intensity. The measurements with the present sensor were compared with those of a commercial aggregometer and a strong correlation was found between them. The newly-developed optical aggregometer can measure the RBC aggregability difference between young and old cell suspension with ease and accuracy.

Automatic Segmentation of Retinal Blood Vessels Based on Improved Multiscale Line Detection

  • Hou, Yanli
    • Journal of Computing Science and Engineering
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    • v.8 no.2
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    • pp.119-128
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    • 2014
  • The appearance of retinal blood vessels is an important diagnostic indicator of serious disease, such as hypertension, diabetes, cardiovascular disease, and stroke. Automatic segmentation of the retinal vasculature is a primary step towards automatic assessment of the retinal blood vessel features. This paper presents an automated method for the enhancement and segmentation of blood vessels in fundus images. To decrease the influence of the optic disk, and emphasize the vessels for each retinal image, a multidirectional morphological top-hat transform with rotating structuring elements is first applied to the background homogenized retinal image. Then, an improved multiscale line detector is presented to produce a vessel response image, and yield the retinal blood vessel tree for each retinal image. Since different line detectors at varying scales have different line responses in the multiscale detector, the line detectors with longer length produce more vessel responses than the ones with shorter length; the improved multiscale detector combines all the responses at different scales by setting different weights for each scale. The methodology is evaluated on two publicly available databases, DRIVE and STARE. Experimental results demonstrate an excellent performance that approximates the average accuracy of a human observer. Moreover, the method is simple, fast, and robust to noise, so it is suitable for being integrated into a computer-assisted diagnostic system for ophthalmic disorders.

Retinal Blood Vessel Segmentation using Deep Learning (딥러닝 기법을 이용한 망막 혈관 분할)

  • Kim, Beomsang;Lee, Ik Hyun
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.5
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    • pp.77-82
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    • 2019
  • Diabetic retinopathy is a complicated form of diabetes due to circulatory disorder in the peripheral blood vessels of the retina. We segment the microvessel for diagnosing diabetic retinophathy. The conventional methods using filter and features can segment the thick blood vessels, but it has relatively weak for segmenting fine blood vessels. In pre-processing step, noise reduction filter and histogram equalization are applied to suppress the noise and enhance the image contrast. Then, deep learning technique is used for pixel-by-pixel segmentation. The accuracy of conventional methods is between 90% to 94%, while the proposed method has improved as 95% accuracy. There is a problem of segmentation error around the optic disc and exudate due to the network depth. However the accuracy can be improved by modifying the network architecture in the future.