• Title/Summary/Keyword: Lung model

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The Experimental Study for Isolated Rabbit Lung Preservation (가토 적출 폐장의 장시간 보존에 관한 실험적 연구)

  • Lee, Jong-Guk;Seo, Jae-Seong
    • Journal of Chest Surgery
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    • v.27 no.9
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    • pp.723-731
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    • 1994
  • We have modified the isolated perfused working rabbit lung model [IPWL] by perfusing the isolated lung with a hollow fiber membrane deoxygenator.For assessment the stored lung was ventilated with FIO2 0.4 and perfused with 37$^{\circ}$C deoxygenated circulating blood at a rate 5ml/kg/min for several hours until lung failure.We chose to compare our developing solution which contained low potassium and pentastarch with the modified Euro-Collins solution .Experiments were divided into four groups[n=6] based on the type of flushing preservation solution and preservation time.The flushed lungs were then preserved into same solution at 8~10$^{\circ}$C with 100% O2 inflated condition for 1 or 20 hours.These following results were obtained.The IPWL model requires only one animal per experiment and allows for the continuous assessment of aerodynamic performance. This should therefore be used as screening test in lung preservation.One hour preservation groups, there were no significant difference in recovery rates of PaO2, PAP and Paw. Survival time in the one hour preservation groups were very significant long in the Group II[LPPS, p<0.01]. Twenty hours preservation groups, there were no significant difference in the recovery rates of PAP and Paw between Group III[m-ECS] and Group IV[NS], but PaO2 was significantly worse at onset of reperfusion in Group III when compared with Group IV [p<0.05]. And also survival time in the 20 hours preservation groups were significant long in the Group IV [p<0.05].

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Development of a Risk Scoring Model to Predict Unexpected Conversion to Thoracotomy during Video-Assisted Thoracoscopic Surgery for Lung Cancer

  • Ga Young Yoo;Seung Keun Yoon;Mi Hyoung Moon;Seok Whan Moon;Wonjung Hwang;Kyung Soo Kim
    • Journal of Chest Surgery
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    • v.57 no.3
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    • pp.302-311
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    • 2024
  • Background: Unexpected conversion to thoracotomy during planned video-assisted thoracoscopic surgery (VATS) can lead to poor outcomes and comparatively high morbidity. This study was conducted to assess preoperative risk factors associated with unexpected thoracotomy conversion and to develop a risk scoring model for preoperative use, aimed at identifying patients with an elevated risk of conversion. Methods: A retrospective analysis was conducted of 1,506 patients who underwent surgical resection for non-small cell lung cancer. To evaluate the risk factors, univariate analysis and logistic regression were performed. A risk scoring model was established to predict unexpected thoracotomy conversion during VATS of the lung, based on preoperative factors. To validate the model, an additional cohort of 878 patients was analyzed. Results: Among the potentially significant clinical variables, male sex, previous ipsilateral lung surgery, preoperative detection of calcified lymph nodes, and clinical T stage were identified as independent risk factors for unplanned conversion to thoracotomy. A 6-point risk scoring model was developed to predict conversion based on the assessed risk, with patients categorized into 4 groups. The results indicated an area under the receiver operating characteristic curve of 0.747, with a sensitivity of 80.5%, specificity of 56.4%, positive predictive value of 1.8%, and negative predictive value of 91.0%. When applied to the validation cohort, the model exhibited good predictive accuracy. Conclusion: We successfully developed and validated a risk scoring model for preoperative use that can predict the likelihood of unplanned conversion to thoracotomy during VATS of the lung.

Meta-Analysis of the Association between the rs8034191 Polymorphism in AGPHD1 and Lung Cancer Risk

  • Zhang, Le;Jin, Tian-Bo;Gao, Ya;Wang, Hui-Juan;Yang, Hua;Feng, Tian;Chen, Chen;Kang, Long-Li;Chen, Chao
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.7
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    • pp.2713-2717
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    • 2015
  • Background: Possible associations between the single nucleotide polymorphism (SNP) rs8034191 in the aminoglycosidephosphotransferase domain containing 1 (AGPHD1) gene and lung cancer risk have been studied by many researchers but the results have been contradictory. Materials and Methods: A computerized search for publications on rs8034191 and lung cancer risk was performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association between rs8034191 and lung cancer risk with 13 selected case-control studies. Sensitivity analysis, test of heterogeneity, cumulative meta-analysis, and assessment of bias were also performed. Results: A significant association between rs8034191 and lung cancer susceptibility was found using the dominant genetic model (OR=1.344, 95% CI: 1.285-1.406), the additive genetic model (OR=1.613, 95% CI: 1.503-1.730), and the recessive genetic model (OR=1.408, 95% CI: 1.319-1.503). Moreover, an increased lung cancer risk was found with all genetic models after stratification of ethnicity. Conclusions: The association between rs8034191 and lung cancer risk was significant using multiple genetic models, suggesting that rs8034191 is a risk factor for lung cancer. Further functional studies of this polymorphism and lung cancer risk are warranted.

Evaluation of Lung Preservation by Using of Canine Bilateral Sequential Lung Tranplantation (성견의 연속 양측 폐이식을 이용한 폐보존 평가 연구)

  • 박창권;김재범;유영선;권건영;전석길;김정식
    • Journal of Chest Surgery
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    • v.33 no.5
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    • pp.377-384
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    • 2000
  • Background: Numerous studies of safe, long term preservation for lung transplantation have been performed using ex vivo models or in vivo single lung transplantation models. However, a safe preservation time which is applicable for clinical use is difficult to determine. We prepared LPDG solution for lung preservation study. In this study we examined the efficacy of LPDG(low potassium dextran glucose) solution in 24-hour lung preservation by using a sequential bilateral canine lung allotransplant model. Material and Method: Seven bilateral lung transplant procedures were performed using weight-matched pairs(24 to 25kg) of adult mongrel dogs. The donor lungs were flushed with LPDG solution and maintained hyperinflated with 100% oxygen at 1$0^{\circ}C$ for a planned ischemic time of 24 hours for the lung implanted first. After sequential bilateral lung transplantation, dogs were maintained on ventilators for 3 hours: arterial resistance were determined if the recipients hourly after bilateral reperfusion and compared with pretransplant-recipient values, which were used as controls. After 2hours of reperfusion, the chest X-ray, computed tomogram and lung perfusion scan were performed for assessmint of early graft lung function. Pathological examinations for ultrastructural findings of alveolar structure and endothelial structure of pulmonary artery were performed. Result: Five of seven experiments successfully finished the whole assessments after bilateral reperfusion for three hours. Arterial oxygen tension in the recipients was markedly decrased in immediate reperfusion period but gradually recovered after reperfusion for three hours. The pulmonary artery and pulmonary vascular resistance showed singificant elevation(p<0.05 versus control values) but also recovered after reperfusion for three hours(p<0.05 versus immediate period value). The ultrastructural findings of alveolar structure and endothelial structure of pulmonary artery showed reversible mild injury in 24 hours of lung perservation and reperfusion. Conclusion : This study suggests that LPDG solution provides excellent preservation in a canine model in which the dog is completely dependent on the function of the transplanted lung.

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SULT1A1 Arg213His Polymorphism and Lung Cancer Risk: a Meta-analysis

  • Liao, Shao-Guang;Liu, Lu;Zhang, Ying-Yi;Wang, Ying;Wang, Ya-Jie
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.2
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    • pp.579-583
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    • 2012
  • Background: The SULT1A1 Arg213His polymorphism is reported to be associated with lung cancer risk. However, this relationship remains controversial. For better understanding a meta-analysis was therefore performed. Methods: An extensive search was performed to identify all case-control studies investigating association between SULT1A1 Arg213His polymorphism and lung cancer risk. The strength was assessed by odds ratio (OR) with the corresponding 95% confidence interval (95%CI). Results: A total of five publications covering 1,669 cases and 1,890 controls were included in this meta-analysis. No significant association between SULT1A1 Arg213His polymorphism and lung cancer risk was observed in overall comparisons in all genetic models (dominant model: OR=1.33, 95%CI=1.00-1.76, P=0.05; additive model: OR=1.30, 95%CI=0.93-1.81, P=0.12; recessive model: OR=1.21, 95%CI=0.89-1.66, P=0.23). However, on subgroup analysis, an elevated risk in mixed populations with variant His allele was revealed in the dominant model (OR=1.66, 95% CI=1.06-2.62, P=0.03). Furthermore, the SULT1A1 Arg213His polymorphism was associated with an increased risk of lung cancer in both females and males in the dominant model (females: OR=1.72, 95%CI=1.29-2.27, P=0.00; males: OR=1.46, 95%CI=1.19-1.78, P=0.00). No significant association between this polymorphism and different smoking status (smokers and non-smokers) and the other ethnicities (Asians and Caucasians) was shown. Conclusions: The results of this meta-analysis indicate that the SULT1A1 Arg213His polymorphism is not associated with lung cancer risk in Asians and Caucasians, but possible elevation for genotype (GA/AA) in mixed populations and males and females needs further investigation.

Non-rigid Registration Method of Lung Parenchyma in Temporal Chest CT Scans using Region Binarization Modeling and Locally Deformable Model (영역 이진화 모델링과 지역적 변형 모델을 이용한 시간차 흉부 CT 영상의 폐 실질 비강체 정합 기법)

  • Kye, Hee-Won;Lee, Jeongjin
    • Journal of Korea Multimedia Society
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    • v.16 no.6
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    • pp.700-707
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    • 2013
  • In this paper, we propose a non-rigid registration method of lung parenchyma in temporal chest CT scans using region binarization modeling and locally deformable model. To cope with intensity differences between CT scans, we segment the lung vessel and parenchyma in each scan and perform binarization modeling. Then, we match them without referring any intensity information. We globally align two lung surfaces. Then, locally deformable transformation model is developed for the subsequent non-rigid registration. Subtracted quantification results after non-rigid registration are visualized by pre-defined color map. Experimental results showed that proposed registration method correctly aligned lung parenchyma in the full inspiration and expiration CT images for ten patients. Our non-rigid lung registration method may be useful for the assessment of various lung diseases by providing intuitive color-coded information of quantification results about lung parenchyma.

Lung Organoid on a Chip: A New Ensemble Model for Preclinical Studies

  • Hyung-Jun Kim;Sohyun Park;Seonghyeon Jeong;Jihoon Kim;Young-Jae Cho
    • International Journal of Stem Cells
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    • v.17 no.1
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    • pp.30-37
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    • 2024
  • The lung is a complex organ comprising a branched airway that connects the large airway and millions of terminal gas-exchange units. Traditional pulmonary biomedical research by using cell line model system have limitations such as lack of cellular heterogeneity, animal models also have limitations including ethical concern, race-to-race variations, and physiological differences found in vivo. Organoids and on-a-chip models offer viable solutions for these issues. Organoids are three-dimensional, self-organized construct composed of numerous cells derived from stem cells cultured with growth factors required for the maintenance of stem cells. On-a-chip models are biomimetic microsystems which are able to customize to use microfluidic systems to simulate blood flow in blood channels or vacuum to simulate human breathing. This review summarizes the key components and previous biomedical studies conducted on lung organoids and lung-on-a-chip models, and introduces potential future applications. Considering the importance and benefits of these model systems, we believe that the system will offer better platform to biomedical researchers on pulmonary diseases, such as emerging viral infection, progressive fibrotic pulmonary diseases, or primary or metastatic lung cancer.

Inhibitory Effects of GGX on Lung Injury of Chronic Obstructive Lung Disease (COPD) Mice Model (만성폐쇄성폐질환 동물모델에서 GGX의 폐손상 억제 효과)

  • Kim, Tae Hyeon;Yang, Won Kyung;Lee, Su Won;Kim, Seung Hyung;Lyu, Yee Ran;Park, Yang Chun
    • The Journal of Korean Medicine
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    • v.42 no.3
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    • pp.56-71
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    • 2021
  • Objectives: This study is aimed to evaluate the protective effects of GGX on lung injury of Chronic Obstructive Lung Disease (COPD) mice model. Materials and Methods: C57BL/6 mice were challenged with lipopolysaccharide (LPS) and cigarette smoke extract (CSE) and then treated with vehicle only (Control group), dexamethasone 3 mg/kg (Dexa group), gam-gil-tang 200 mg/kg (GGT group), GGX 100, 200, and 400 mg/kg (GGX group). After sacrifice, its bronchoalveolar lavage fluid (BALF) or lung tissue was analyzed with cytospin, Enzyme-Linked Immunosorbent Assay (ELISA), real-time polymerase chain reaction (PCR) and hematoxylin & eosin (H&E), and Masson's trichrome staining. Results: In the COPD model, GGX significantly inhibited the increase of neutrophils, TNF-𝛼, IL-17A, CXCL-1, MIP2 in BALF and TNF-𝛼, IL-1𝛽, IL-10 mRNA expression in lung tissue. It also decreased the severity of histological lung injury. Conclusion: This study suggests the usability of GGX for COPD patients by controlling lung tissue injury.

Immunocell Therapy for Lung Cancer: Dendritic Cell Based Adjuvant Therapy in Mouse Lung Cancer Model (폐암의 면역세포 치료: 동물 모델에서 수지상 세포를 이용한 Adjuvant Therapy 가능성 연구)

  • Lee, Seog-Jae;Kim, Myung-Joo;In, So-Hee;Baek, So-Young;Lee, Hyun-Ah
    • IMMUNE NETWORK
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    • v.5 no.1
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    • pp.36-44
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    • 2005
  • Background: The anti-tumor therapeutic effect of autologous tumor cell lysate pulseddendritic cells (DCs) was studied for non-immunogenic and immune suppressive lung cancer model. To test the possibility as an adjuvant therapy, minimal residual disease model was considered in mouse in vivo experiments. Methods: Syngeneic 3LL lung cancer cells were inoculated intravenously into the C57BL/6 mouse. Autologous tumor cell (3LL) or allogeneic leukemia cell (WEHI-3) lysate pulsed-DCs were injected twice in two weeks. Intraperitoneal DC injection was started one day (MRD model) after tumor cell inoculation. Two weeks after the final DC injection, tumor formation in the lung and the tumor-specific systemic immunity were observed. Tumor-specific lymphocyte proliferation and the IFN-${\gamma}$ secretion were analyzed for the immune monitoring. Therapeutic DCs were cultured from the bone marrow myeloid lineage cells with GM-CSF and IL-4 for 7 days and pulsed with tumor cell lysate for 18 hrs. Results: Compared to the saline treated group, tumor formation was suppressed in 3LL tumor cell lysate pulsed-DC treated group, while 3LL-specific immune stimulation was minimum. WEHI-3-specific immune stimulation occurred in WEHI-3 lysate-pulsed DC treated group, which had no correlation with tumor regression. Conclusion: The data suggest the possible anti-tumor effect of cultured DCs as an adjuvant therapy for minimal residual disease state of lung cancer. The significance of immune modulation in DC therapy including the possible involvement of NK cell as well as antigen-specific cytotoxic T cell activity induction was discussed.

Use of an Artificial Neural Network to Predict Risk Factors of Nosocomial Infection in Lung Cancer Patients

  • Chen, Jie;Pan, Qin-Shi;Hong, Wan-Dong;Pan, Jingye;Zhang, Wen-Hui;Xu, Gang;Wang, Yu-Min
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.13
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    • pp.5349-5353
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    • 2014
  • Statistical methods to analyze and predict the related risk factors of nosocomial infection in lung cancer patients are various, but the results are inconsistent. A total of 609 patients with lung cancer were enrolled to allow factor comparison using Student's t-test or the Mann-Whitney test or the Chi-square test. Variables that were significantly related to the presence of nosocomial infection were selected as candidates for input into the final ANN model. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. The prevalence of nosocomial infection from lung cancer in this entire study population was 20.1% (165/609), nosocomial infections occurring in sputum specimens (85.5%), followed by blood (6.73%), urine (6.0%) and pleural effusions (1.82%). It was shown that long term hospitalization (${\geq}22days$, P= 0.000), poor clinical stage (IIIb and IV stage, P=0.002), older age (${\geq}61days$ old, P=0.023), and use the hormones were linked to nosocomial infection and the ANN model consisted of these four factors. The artificial neural network model with variables consisting of age, clinical stage, time of hospitalization, and use of hormones should be useful for predicting nosocomial infection in lung cancer cases.