• Title/Summary/Keyword: artificial lung

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Visual Evaluation of Rib Shadow and Lung Marking during High-voltage Chest Radiography (흉부 고관전압 촬영에 있어서의 늑골음영과 폐문리의 시각적 평가)

  • Choi, Kwon-Kyu;Lee, Chang-Yup;Shin, Dong-Sik;Kim, Chang-Nam;Choi, Ki-Young;Huh, Joon
    • Journal of radiological science and technology
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    • v.15 no.1
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    • pp.99-105
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    • 1992
  • Visual evaluation of rib shadow and lung marking during high voltage chest radiography. The Purpose of this study is to improvement of visual discrimination of pulmonary structures on the conventional chest radiogram. The author prepared an artificial lung using an acryl plate, 8 cm in thickness, which is nearly equivalent to human lung, and 0.6 cm thickness of an aluminum plate for an artificial rib, and 0.5 cm of an acryl plate as a pulmonary vessel as well. And they were used as objects for experimental radiograms. This study performed with gradual increasing densities of film bases in the sequences of densities of 0.6, 0.9, 1.1 and 1.3. We made two combinations of images after multiple and regular cuts, with width of 1 cm, of 4 radiograms at the above mentioned densities of film bases. One image consisted of alternative combination of radiograms taken at densities of 0.6 and 1.3, and the other did at 0.9 and 1.1. The latter image provided better visual perception of pulmonary structures than the former. Experimental radiograms were also taken with 60 kV and 120 kV respectively. After careful evaluation and comparison to images taken on varieties of different densities with combinations and kV, the author had a conclusion that it is advisable to use a high kV X-ray which makes rib shadow subtle, for better visual delineation of pulmonary structures behind ribcage, eventhough contrast of pulmonary structures are decreased at high kV radiogram.

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Effect of Korean Red Ginseng on Artificial Sand Dust (ASD) Induced Allergic Lung Inflammation

  • Kim, Jung-Ha;Lee, Tae-Jin;Im, Jee-Aee;Lee, Duk-Chul
    • Biomedical Science Letters
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    • v.20 no.3
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    • pp.173-179
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    • 2014
  • Asian sand dust is known to promote various respiratory symptoms or disorders. For the prevention of harmful health effects by Asian sand dust, the best strategy is known to avoid or reduce exposure to the Asian sand dust. Several studies have shown that Korean red ginseng (RG) has anti-inflammatory and anti-allergic effects. The study aimed to clarify the effect of Korean red ginseng intake on lung inflammation responses to artificial sand dust (ASD) similar to Asian sand dust. BALB/c mice were divided into five groups (n=12) of control (saline), ovalbumin (OVA), OVA with ASD, OVA plus RG with ASD, and OVA plus dexamethasone (DEXA) with ASD. Histopathologic evaluation of lung was conducted. Interleukin (IL)-5, IL-12, interferon (IFN)-${\gamma}$, IL-13, monocyte chemotactic protein (MCP)-1, and eotaxin within bronchoalveolar lavage (BAL) fluid were measured by ELISA. OVA+ASD group significantly increased concentrations of IL-5, IL-13, MCP-1, and eotaxin (P<0.01) compared to the control. OVA+ASD+RG group showed significant decreased levels of IL-2, IL-13, MCP-1 and eotaxin (P<0.01) compared with OVA+ASD. Between RG and DEXA treatment groups, there was no significant difference in all cytokines and chemokines. The inflammatory cells were significantly decreased in treatment groups with RG or DEXA compared to OVA+ASD group. This study suggests a beneficial effect of Korean RG administration in preventing inflammation of lung resulting from Asian sand dust.

Cavitary Lung Abscess Mistaken for Pneumothorax after Drainage of Pus (배농후 기흉으로 오인된 공동성 폐농양)

  • Hong, Bum-Kee;Chang, Jung-Hyun;Kim, Se-Kyu;Kim, Sung-Kyu;Lee, Won-Young
    • Tuberculosis and Respiratory Diseases
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    • v.40 no.4
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    • pp.449-453
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    • 1993
  • A 64-year-old male was admitted due to abruptly developed, severe dyspnea via local clinic. He had been a heavy smoker and alcoholic for a long time. Chest PA showed huge haziness in right upper lung field. Sputum culture for bacteriology was positive for Klebsiella pneumoniae. Immediately, appropriate antibiotics were administered and artificial ventilation was started. On 40th hospital day, simple chest roentgenogram taken due to sudden aggravated dyspnea showed marked hyperlucency in right upper lung field, suggestive of rupture of abscess cavity and resultant pneumothorax. At that time, chest tube was inserted but air leakage from the chest tube persisted. Chest CT scan taken after chest tube insertion showed the tube inserted into a thin-walled cavity in the above lesion. on 84th hospital day, right upper lobectomy with decortication was performed. Pathologically, cavittary lung abscess was diagnosed on the findings of partial re-epithelialization of ciliated columnar epithelium with severe pulmonary vascular occlusion and extensive fibrous pleural adhesions.

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Application of Deep Learning-Based Nuclear Medicine Lung Study Classification Model (딥러닝 기반의 핵의학 폐검사 분류 모델 적용)

  • Jeong, Eui-Hwan;Oh, Joo-Young;Lee, Ju-Young;Park, Hoon-Hee
    • Journal of radiological science and technology
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    • v.45 no.1
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    • pp.41-47
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    • 2022
  • The purpose of this study is to apply a deep learning model that can distinguish lung perfusion and lung ventilation images in nuclear medicine, and to evaluate the image classification ability. Image data pre-processing was performed in the following order: image matrix size adjustment, min-max normalization, image center position adjustment, train/validation/test data set classification, and data augmentation. The convolutional neural network(CNN) structures of VGG-16, ResNet-18, Inception-ResNet-v2, and SE-ResNeXt-101 were used. For classification model evaluation, performance evaluation index of classification model, class activation map(CAM), and statistical image evaluation method were applied. As for the performance evaluation index of the classification model, SE-ResNeXt-101 and Inception-ResNet-v2 showed the highest performance with the same results. As a result of CAM, cardiac and right lung regions were highly activated in lung perfusion, and upper lung and neck regions were highly activated in lung ventilation. Statistical image evaluation showed a meaningful difference between SE-ResNeXt-101 and Inception-ResNet-v2. As a result of the study, the applicability of the CNN model for lung scintigraphy classification was confirmed. In the future, it is expected that it will be used as basic data for research on new artificial intelligence models and will help stable image management in clinical practice.

Monitoring and Interpretation of Mechanical Ventilator Waveform in the Neuro-Intensive Care Unit (신경계 중환자실에서 기계호흡 그래프 파형 감시와 분석)

  • Park, Jin
    • Journal of Neurocritical Care
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    • v.11 no.2
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    • pp.63-70
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    • 2018
  • Management of mechanical ventilation is essential for patients with neuro-critical illnesses who may also have impairment of airways, lungs, respiratory muscles, and respiratory drive. However, balancing the approach to mechanical ventilation in the intensive care unit (ICU) with the need to prevent additional lung and brain injury, is challenging to intensivists. Lung protective ventilation strategies should be modified and applied to neuro-critically ill patients to maintain normocapnia and proper positive end expiratory pressure in the setting of neurological closed monitoring. Understanding the various parameters and graphic waveforms of the mechanical ventilator can provide information about the respiratory target, including appropriate tidal volume, airway pressure, and synchrony between patient and ventilator, especially in patients with neurological dysfunction due to irregularity of spontaneous respiration. Several types of asynchrony occur during mechanical ventilation, including trigger, flow, and termination asynchrony. This review aims to present the basic interpretation of mechanical ventilator waveforms and utilization of waveforms in various clinical situations in the neuro-ICU.

Breath Gas Sensors for Diabetes and Lung Cancer Diagnosis

  • Byeongju Lee;Jin-Oh Lee;Junyeong Lee;Inkyu Park;Dae-Sik Lee
    • Journal of Sensor Science and Technology
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    • v.32 no.1
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    • pp.1-9
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    • 2023
  • Recently, the digital healthcare technologies including non-invasive diagnostics based on Internet of Things (IOT) are getting attention. Human exhaled breath contains a variety of volatile organic compounds (VOCs), which can provide information of malfunctions of the body and presence of a specific disease. Detection of VOCs in exhaled breath using gas sensors are easy to use, safe, and cost-effective. However, accurate diagnosis of diseases is challenging because changes in concentration of VOCs are extremely small and lots of body factors directly or indirectly influence to the conditions. To overcome the limitations, highly selective nanosensors and artificial intelligent electronic nose (E-nose) systems have been mainly researched in recent decades. This review provides brief reviews of the recent studies for diabetes and lung cancer diagnosis using nanosensors and E-nose systems.

Evaluation of Adult Lung CT Image for Ultra-Low-Dose CT Using Deep Learning Based Reconstruction

  • JO, Jun-Ho;MIN, Hyo-June;JEON, Kwang-Ho;KIM, Yu-Jin;LEE, Sang-Hyeok;KIM, Mi-Sung;JEON, Pil-Hyun;KIM, Daehong;BAEK, Cheol-Ha;LEE, Hakjae
    • Korean Journal of Artificial Intelligence
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    • v.9 no.2
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    • pp.1-5
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    • 2021
  • Although CT has an advantage in describing the three-dimensional anatomical structure of the human body, it also has a disadvantage in that high doses are exposed to the patient. Recently, a deep learning-based image reconstruction method has been used to reduce patient dose. The purpose of this study is to analyze the dose reduction and image quality improvement of deep learning-based reconstruction (DLR) on the adult's chest CT examination. Adult lung phantom was used for image acquisition and analysis. Lung phantom was scanned at ultra-low-dose (ULD), low-dose (LD), and standard dose (SD) modes, and images were reconstructed using FBP (Filtered back projection), IR (Iterative reconstruction), DLR (Deep learning reconstruction) algorithms. Image quality variations with respect to varying imaging doses were evaluated using noise and SNR. At ULD mode, the noise of the DLR image was reduced by 62.42% compared to the FBP image, and at SD mode, the SNR of the DLR image was increased by 159.60% compared to the SNR of the FBP image. Based on this study, it is anticipated that the DLR will not only substantially reduce the chest CT dose but also drastic improvement of the image quality.

Induction of Apoptotic Cell Death by Egg white combined-Chalcanthite on NCI-H460 Human Lung Cancer Cells (난담반의 인체폐암세포주 NCI-H460에 대한 세포자살유도 효능)

  • Choi, Eun-A;Kim, Kyung-Hee;Yoo, Byong-Chul;Yoo, Hwa-Seung
    • Journal of Pharmacopuncture
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    • v.12 no.3
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    • pp.49-59
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    • 2009
  • Background : Anticancer effects of herbal medicine have been reported in various types of cancer, but the systematic approaches to explain molecular mechanism(s) are not established yet. Objective : The purpose of this study is to investigate the apoptotic cell death by Egg White combined Chalcanthite in NCI-H460 human lung cancer cells. Methods : Inhibitory effects were estimated by the MTT-assay. Cancer cells were stained with DAPI and showed condensed and fragmented nuclei. The expression of cleaved caspase-3, bcl-2, and bax was detected by western blotting. To establish a basis of understanding for anti-cancer mechanism, whole proteins have been obtained from NCI-H460 harvested at 24 hrs after the treatment of Egg White combined Chalcanthite, protein expression has been profiled by 2DE-based proteomic approach. Results : NCI-H460 human lung cancer cells were treated by three samples of IS3, IS4 and IS5. IS4 inhibited most effectively the growth of NCI-H460 human lung cancer cells. The expression of cleaved caspase-3 increased in IS4 in a concentration-dependent manner. Various changes of the protein expression have been monitored, and most frequent dysregulation was found in Vimentin, Lamin-A/C. Conclusion : Egg White combined-Chacanthite inhibited the growth of NCI-H460 human lung cancer cells by inducing the apoptotic cell death via caspase-3 activation. Based upon the present findings, the further study will focus on monitoring various cancer survival factors after artificial regulation of the proteins identified, and it would be the basis for the understanding of the Chacabthite anticancer effect(s) at the molecular level.

Sequential Bilateral Lung Transplantation with Extracorporeal Membrane Oxygenation (ECMO) Support - A case report - (체외막 산소화 장치를 이용한 순차적 양측 폐이식 수술 치험 - 1예 보고 -)

  • Lee, Mina;Kim, Kwhanmien;Sung, Ki-Ick
    • Journal of Chest Surgery
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    • v.43 no.1
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    • pp.96-99
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    • 2010
  • Artificial lung support may be necessary in various conditions during the performance of bilateral lung transplantation, and cardiopulmonary bypass (CPB) has usually been used. Yet using the conventional CPB techniques may increase risk of bleeding and early allograft dysfunction due to the large dosages of heparin and the complement activation. Extracorporeal membrane oxygenation (ECMO) is able to support gas exchange and maintain the hemodynamics without administering high-dose heparin for anticoagulation. We performed sequential bilateral lung transplantation with ECMO support. ECMO is a valuable tool when performing lung transplantation and it has the potential to replace CPB.

Study on the Modeling Technique for Prediction about Pressure Drop of an Intravenous Lung Assist Device (혈관 내 폐 보조장치의 압력손실 예측을 위한 모델링기법에 관한 연구)

  • 김기범;권대규;정경락
    • Journal of Biomedical Engineering Research
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    • v.24 no.4
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    • pp.293-299
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    • 2003
  • In this paper, the correlation of Pressure drop about the Newtonian and non-Newtonian fluid was investigated experimentally for vibrating intravascular lung assist device (VIVLAD) and we determined correlation equation to make a prediction about Pressure drop for designing VIVLAD. Design conditions to predict the pressure drop of the modules were studied through an experimental modeling before inserting the artificial lung assist device into as venous. Experiments were performed by distilled water, glycerol/water mixed solution(40% glycerol) of Newtonian fluids. and the bovine blood of non-Newtonian fluids. These fluids were flowed outside and parallel of hollow fiber membranes. Also we measured pressure drop according to the number of the fiber membranes which ware inserted into the inside diameter of shell of 3 cm, and developed the prediction equations by curve fitting method based on correlation between the experimental pressure drop and the frontal area or the packing density of device. The result showed that the Pressure drop and the friction factor of the water/glycerol mixed solution were similar to that of bovine blood. It was showed that the water/glycerol mixed solution (40% glycerol) could be used for measuring the pressure drop and the friction factor instead of the bovine blood. Also, we could estimate the prediction equation of pressure drop and friction factor as the function of Packing density at the number of hollow fibers. We obtained the reliance of the prediction equations because the pressure drop and the friction factor measured from the experiments were similar to that from the prediction equation. These results may be used to further usefulness for the design of VIVLAD.