• Journal of Chest Surgery
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• v.21 no.4
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• pp.711-715
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• 1988

Pulmonary arteriovenous fistula is a congenital vascular malformation originated from abnormalities of capillary development. Fistulas may develop only in the lung or may be associated with similar abnormalities of the skin, mucous membrane, and the other organs. It may occur with hereditary hemorrhagic telangietasia[Rendu-Osier-Weber syndrome]. Recently we have experienced a case of the pulmonary arteriovenous fistula associated with Schwannoma in 20 year old male man. Tennis ball sized bright reddish mass which was composed of variable sized vascular channels filled with blood clots was located in the just subpleural portion of left lower lobe. Left lower lobectomy was done. Microscopic findings showed variable sized numerous blood vessels embedding in the parenchyma. There was a thumb-tip sized brown nodular mass which was turned out to be Schwannoma at the left 7th thoracic paravertebral area.

• Journal of Chest Surgery
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• v.50 no.4
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• pp.300-304
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• 2017

A 42-year-old man was diagnosed with cancer of the right lower lung lobe with a posteparterial type of tracheal bronchus, in which the posterior segmental bronchus of the right upper lobe arose from the distal bronchus intermedius. A mass involved the distal bronchus intermedius, requiring a right lower bilobectomy with an additional posterior segmental resection of the right upper lung lobe. Thus, we performed a right lower bilobectomy and sleeve anastomosis of the posterior segmental bronchus of the right upper lobe to the proximal bronchus intermedius, sparing the pulmonary parenchyma of the same lobe.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5613-5618
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• 2015

Clinicians should looking for techniques that helps to early diagnosis of cancer, because early cancer detection is critical to increase survival and cost effectiveness of treatment, and as a result decrease mortality rate. Medical images are the most important tools to provide assistance. However, medical images have some limitations for optimal detection of some neoplasias, originating either from the imaging techniques themselves, or from human visual or intellectual capacity. Image processing techniques are allowing earlier detection of abnormalities and treatment monitoring. Because the time is a very important factor in cancer treatment, especially in cancers such as the lung and breast, imaging techniques are used to accelerate diagnosis more than with other cancers. In this paper, we outline experience in use of image processing techniques for lung and breast cancer diagnosis. Looking at the experience gained will help specialists to choose the appropriate technique for optimization of diagnosis through medical imaging.

• Tuberculosis and Respiratory Diseases
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• v.83 no.3
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• pp.195-200
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• 2020

The disease concept of interstitial lung disease with idiopathic pulmonary fibrosis at its core has been relied on for many years depending on morphological classification. The separation of non-specific interstitial pneumonia with a relatively good prognosis from usual interstitial pneumonia is also based on the perception that morphology enables predict the prognosis. Beginning with dust-exposed lungs, initially, interstitial pneumonia is classified by anatomical pathology. Diagnostic imaging has dramatically improved the diagnostic technology for surviving patients through the introduction of high-resolution computed tomography scan. And now, with the introduction of therapeutics, the direction of diagnosis is turning. It can be broadly classified into to make known the importance of early diagnosis, and to understand the importance of predicting the speed of progression/deterioration of pathological conditions. For this reason, the insight of "early lesions" has been discussed. There are reports that the presence or absence of interstitial lung abnormalities affects the prognosis. Searching for a biomarker is another prognostic indicator search. However, as is the case with many chronic diseases, pathological conditions that progress linearly are extremely rare. Rather, it progresses while changing in response to environmental factors. In interstitial lung disease, deterioration of respiratory functions most closely reflect prognosis. Treatment is determined by combining dynamic indicators as faithful indicators of restrictive impairments. Reconsidering the history being classified under the disease concept, the need to reorganize treatment targets based on common pathological phenotype is under discussed. What is the disease concept? That aspect changes with the discussion of improving prognosis.

• Journal of Chest Surgery
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• v.55 no.1
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• pp.77-80
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• 2022

Kartagener syndrome (KS) is a rare disease with an incidence of 1 in 20,000 to 30,000 births. There is no cure for KS, and conservative medical treatments are used to relieve symptoms and prevent disease progression. Lung transplantation (LT) is the only treatment option for end-stage KS. Since patients with KS have anatomical abnormalities such as situs inversus totalis, which often require surgery to correct, most reports are related to surgical techniques. Reports about morphological adaptations and changes in transplanted lung structure after LT in patients with KS are rare. We performed LT in a patient with KS and observed morphological adaptation of the lungs for 6 months on chest computed tomography using a quantitative evaluation tool (Chest Image Platform; Harvard University Disability Resources, Cambridge, MA, USA).

• Korean Journal of Radiology
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• v.22 no.3
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• pp.476-488
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• 2021

Objective: We aimed to develop a deep neural network for segmenting lung parenchyma with extensive pathological conditions on non-contrast chest computed tomography (CT) images. Materials and Methods: Thin-section non-contrast chest CT images from 203 patients (115 males, 88 females; age range, 31-89 years) between January 2017 and May 2017 were included in the study, of which 150 cases had extensive lung parenchymal disease involving more than 40% of the parenchymal area. Parenchymal diseases included interstitial lung disease (ILD), emphysema, nontuberculous mycobacterial lung disease, tuberculous destroyed lung, pneumonia, lung cancer, and other diseases. Five experienced radiologists manually drew the margin of the lungs, slice by slice, on CT images. The dataset used to develop the network consisted of 157 cases for training, 20 cases for development, and 26 cases for internal validation. Two-dimensional (2D) U-Net and three-dimensional (3D) U-Net models were used for the task. The network was trained to segment the lung parenchyma as a whole and segment the right and left lung separately. The University Hospitals of Geneva ILD dataset, which contained high-resolution CT images of ILD, was used for external validation. Results: The Dice similarity coefficients for internal validation were 99.6 ± 0.3% (2D U-Net whole lung model), 99.5 ± 0.3% (2D U-Net separate lung model), 99.4 ± 0.5% (3D U-Net whole lung model), and 99.4 ± 0.5% (3D U-Net separate lung model). The Dice similarity coefficients for the external validation dataset were 98.4 ± 1.0% (2D U-Net whole lung model) and 98.4 ± 1.0% (2D U-Net separate lung model). In 31 cases, where the extent of ILD was larger than 75% of the lung parenchymal area, the Dice similarity coefficients were 97.9 ± 1.3% (2D U-Net whole lung model) and 98.0 ± 1.2% (2D U-Net separate lung model). Conclusion: The deep neural network achieved excellent performance in automatically delineating the boundaries of lung parenchyma with extensive pathological conditions on non-contrast chest CT images.

• Biomedical Science Letters
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• v.10 no.3
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• pp.195-202
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• 2004

Lung cancer is a leading cause of cancer death worldwide; however, despite major advances in cancer treatment during the past two decades, the prognostic outcome of lung cancer patients has improved only minimally. This is largely due to the inadequacy of the traditional screening approach of diagnosis in lung cancer, which detects only well­established overt cancers and fails to identify precursor lesions in premalignant conditions of the bronchial tree. In recent years this situation has fundamentally changed with the identification of molecular abnormalities characteristic of premalignant changes; these concern tumour suppressor genes, loss of heterozygosity at crucial sites and activation of oncogenes. Basic knowledge at the molecular level has extremely important clinical implications with regard to early diagnosis, risk assessment and prevention, and therapeutic targets. In this study we used a 'cap-finder' subtractive hybridization method, 'long distance' polymerase chain reaction (PCR), streptavidin magnetic beads mediated subtraction, and spin column chromatography to detect differential expression genes of human small cell lung carcinoma. We have now isolated ninety two genes that expressed differentially in the human small cell lung carcinoma cells and analyzed of 12 clones with sequencing, nine cDNAs include tapasin (NGS-17) mRNA, BC200 alpha scRNA, chromosome 12q24 PAC RPCI3-462E2, protein phosphatase 1 (PPPICA), translocation protein 1 (TLOC1), ribosomal protein S24 (RPS24) mRNA, protein phosphatase (PPEF2), cathepsin Z, MDM2 gene and three novel genes. They may be oncogenesis­related proteins.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.454-456
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• 2002

The evaluation of interval changes between temporally sequential chest radiographs is necessary for the detection of new abnormalities or interval changes, such as pulmonary nodules and interstitial disease. For interstitial lung disease, the interval changes are very important for diagnosis and treatment. Especially, interstitial lung disease may show rapid changes in the radiographs, show changes in the entire lung field in minute detail, or show changes in multiple parts depending on the type. It is therefore difficult to have an accurate grasp of the condition of the disease only with conventional radiographs. The temporal subtraction technique which was developed at the University of Chicago, provides a subtraction image of the current warped image and the previous image. A temporal subtraction image, shows only differences and changes between the two images, can be very useful for a diagnosis of interstitial lung disease. However, the evaluation of the temporal subtraction technique for interstitial lung disease using receiver operating characteristic(ROC) studies has not been reported yet. Therefore, we have evaluated the clinical usefulness of a temporal subtraction technique for detection of interval changes of interstitial lung disease by ROC analysis.

• Journal of Chest Surgery
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• v.26 no.9
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• pp.730-734
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• 1993

Three neonates with congenital diaphragmatic eventration underwent intrathoracic operation had marked improvements in symptoms postoperatively. Two were one day of ages, one was 1 month of age, and they were all female and had other congenital abnormalities of lung hypoplasia, cleft palate, nasal polyps and neonatal hepatitis. The right diaphragm was more affected than left as 2:1. The repair for diaphragmatic eventration was performed successfully by plication of remnant diaphragm, and there were no complications postoperatively.

• Tuberculosis and Respiratory Diseases
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• v.73 no.5
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• pp.249-257
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• 2012

The frequency of diagnosing bronchiectasis is increasing around the world. Cystic fibrosis is the most common inherited cause of bronchiectasis, but there is increasing recognition of significant numbers of patients with bronchiectasis from various causes. With increasing awareness of bronchiectasis, a significant number of research, concerning the causes and treatments, were published over the past few years. Investigation of the underlying cause of bronchiectasis is the most important key to effective management. The purpose of this report is to review the immunological abnormalities that cause bronchiectasis in those that the cystic fibrosis has been excluded, identify the available evidences of current management, and discuss several controversies in the treatment of this disorder.