• Tuberculosis and Respiratory Diseases
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• v.61 no.2
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• pp.171-177
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• 2006

Extranodal marginal zone B-cell lymphoma of the mucosa-associated lymphoid tissue (MALT lymphoma) is usually indolent. Although it was reported recently that about 20-30% cases of MALT lymphoma presented with a disseminated disease at diagnosis, it was described as a disease localized at diagnosis and remaining stable for a prolonged period. However, only a few cases of MALT lymphoma involved the lung and gastrointestinal tract all at once. We report a case of a 73-year-old man with disseminated MALT lymphoma. He presented with non-productive cough, initial chest radiograph showed a nodule in the right lower lobe. The diagnosis of stage IV MALT lymphoma was made by CT scan, video-assisted thoracoscopic excisional biopy, gastrofiberscopic biopsy and bone marrow biopsy. The lymphoma involved the lung, stomach and bone marrow at the time of diagnosis. Because he refused chemotherapy, he discharged after Helicobacter pylori eradication without chemotherapy. Regular follow-up examination did not show any evidence of disease progression over 22 months.

• Tuberculosis and Respiratory Diseases
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• v.62 no.2
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• pp.149-153
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• 2007

A pulmonary blastoma is a rare malignant tumor of the lung that is composed of epithelial and mesenchymal elements and resembles the structure of an embryonic lung. Pulmonary blastomas have a very poor prognosis and make up 0.25 to 0.5 percent of all primary malignant lung tumors. A pulmonary blastoma usually manifests as a solitary parenchymal mass or nodule and multiple subpleural mass with effusion on chest X-ray and computed tomography. We encountered a very rare case of pulmonary blastoma in a 52 years old male. He complained of abdominal pain, fullness, and dyspnea. The radiology examination revealed a huge lung mass invading the mediastinum, heart, diaphragm, and liver. The percutaneous needle biopsies were performed, and this tumor was diagnosed as a pulmonary blastoma. We report a biopsy confirmed case of a huge pulmonary blastoma invading multiple organs.

• Journal of Digestive Cancer Research
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• v.6 no.2
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• pp.73-77
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• 2018

A 70-year-old female diagnosed with pancreatic ductal adenocarcinoma was treated by pylorus-preserving pancreaticoduodenectomy (PPPD) and adjuvant concurrent chemoradiotherapy with 5-fluorouracil. Pancreatic ductal adenocarcinoma pT3N0 (stage IIA) was pathologically confirmed. Abdominal computed tomography (CT) findings 14 months after PPPD showed 10 mm sized solitary liver metastasis in segment 3. After 12 cycles of gemcitabine and 9 cycles of capecitabine plus oxaliplatin, the metastatic nodule increased in size to 27 mm. Tumorectomy at segment 3 of liver was done. 25 months after tumorectomy, chest CT showed 23 mm sized cavitary nodule in right upper lobe of lung. The result of percutaneous biopsy favored metastatic adenocarcinoma. Two sets of stereotactic body radiation therapy were done and the patient has survived without further disease progression for 6 years after initial diagnosis. This case suggests that selected population of recurrent pancreatic cancer patients with solitary liver or pulmonary metastasis can be treated by resection of metastatic site and ablative therapies.

• Tuberculosis and Respiratory Diseases
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• v.44 no.6
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• pp.1263-1270
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• 1997

Background : Differentiation of malignity and benignity is crucial for management of solitary pulmonary nodule(SPN). Clinical parameters such as patient's age, nodule size, smoking history, doubling time, typical calcification in X-ray and CT findings have been reported as helpful in this purpose. However, in most cases, these parameters are not conclusive. Glucose metabolism is increased in cancer tissues including lung cancer tissues. After uptake of 2-[F-18]-fluoro-2-deoxy-D-glucose(FDG), the glucose analogue, by cancer cell, FDG is trapped in the cell without further metabolism after phosphorylation. Thus, hypermetabolic focus in FDG-positron emission tomography (PET) imaging suggest malignancy. We evaluated the diagnostic efficacy of FDG-PET imaging in distinguishing malignant and benign SPN. Methods : We evaluated 28 patients with SPN from Jan. 1995 to Jan. 1997. CT scan of chest and whole-body FDG-PET imaging were performed in all patients. Histologic diagnosis was confirmed by transthoracic fine needle aspiration and biopsy, bronchoscopic biopsy and open thoracotomy. Results : Of the 28 SPN's, 22 nodules were malignant and 6 nodules were benign. FDG-PET imaging diagnosed all malignant nodules correctly as positive, and diagnosed 4 of 6 benign nodules correctly as negative. One tuberculous granuloma and one aspergilloma showed hypennetabolic focus and were diagnosed falsely positve with FDG-PET imaging. In the diagnosis of SPN with FDG-PET, sensitivity and specificity were 100% and 66.7%, positive predictive value and negative predictive value were 92% and 100%. Conclusion : FDG-PET imaging is highly useful noninvasive diagnostic tool in distinguishing between malignant SPN and benign SPN.

• Tuberculosis and Respiratory Diseases
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• v.80 no.4
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• pp.368-376
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• 2017

Background: A ground-glass nodule (GGN) represents early-stage lung adenocarcinoma. However, there is still no consensus for preoperative staging of GGNs. Therefore, we evaluated the need for the routine use of positron emission tomography/computed tomography (PET)/computed tomography (CT) scans and brain magnetic resonance imaging (MRI) during staging. Methods: A retrospective analysis was undertaken in 72 patients with 74 GGNs of less than 3 cm in diameter, which were confirmed via surgery as malignancy, at the Samsung Medical Center between May 2010 and December 2011. Results: The median age of the patients was 59 years. The median GGN diameter was 18 mm. Pure and part-solid GGNs were identified in 35 (47.3%) and 39 (52.7%) cases, respectively. No mediastinal or distant metastasis was observed in these patients. In preoperative staging, all of the 74 GGNs were categorized as stage IA via chest CT scans. Additional PET/CT scans and brain MRIs classified 71 GGNs as stage IA, one as stage IIIA, and two as stage IV. However, surgery and additional diagnostic work-ups for abnormal findings from PET/CT scans classified 70 GGNs as stage IA, three as stage IB, and one as stage IIA. The chest CT scans did not differ from the combined modality of PET/CT scans and brain MRIs for the determination of the overall stage (94.6% vs. 90.5%; kappa value, 0.712). Conclusion: PET/CT scans in combination with brain MRIs have no additional benefit for the staging of patients with GGN lung adenocarcinoma before surgery.

• The Journal of the Korean life insurance medical association
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• v.2 no.1
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• pp.128-134
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• 1985

Circumscribed solitary pulmonary nodule is often founded on the plain chest P-A. Even if many study results of coin lesion have been reported by some scholars, it is still very difficult to judge whether the coin lesion is to be benign or malignant. In order to avoid unnecessary surgical treatment, it must be made an examination and analysis very carefully in advance. In the chest P-A, we can grasp the aspects of the site and size of lesion, marginal state of lesion, calcification, cavity, and the growth rate in comparison to follow-up chest P-A. On the basis of above-mentioned analysis, we have to judge whether it is benign or malignant, and decide the next examinations. And then the doctor make diagnosis definitely by the clinical history, plain chest P-A, tomography, bronchography, CT, variable laboratory findings.

• The Korean Journal of Cytopathology
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• v.8 no.1
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• pp.103-107
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• 1997

Initial rapid diagnosis of primary pulmonary cryptococcosis(PPC) occurring in a immunocompetent host was made by transthoracic fine needle aspiration cytology of a solitary subpleural nodule. Numerous refractile spherical organisms surrounded by a clear halo were demonstrated with haematoxylin-eosin and Papanicolaou stains. The organisms, $5{\sim}15{\mu}m$ in diameter, were easily demonstrated with Gomori methenamine-silver stain. Many of the organisms showed narrow-base budding. Carminophilic cell walls were well demonstrated with mucicarmine stain.

• Journal of Chest Surgery
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• v.30 no.6
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• pp.631-635
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• 1997

혈관에서 기원되는 종양은 혈관외피 세포로부터 발생되는 종양 혈관외피종과 glomus tumor)관 혈관내피 세포로부터 발생되는 종양(를상피 혈관내피종)의 두가지로 구분된다. 이들은 매우 드물게 발생되며 악성종양의 특성을 가지고 있는데, 폐에서 발생된 경우에는 무증상의 작은 종괴로부터 증상이 있는 커다란 종양 의 형태로 나타난다. 최근 저자들은 단일성의 유상피 혈관내피종과 혈관외피종 각각 1례를 치험하였기에 문헌고찰과 함께 보 고하는 바이다. a Tumors of vascular origin are subdivided into two groups: those composed of pericytes (hemangiopericytoma and glomus tumor), and those composed of endothelial cells(hemangioendothelioma). They are uncommon, potentially malignant tumors, and in the lung, the tumors may present as a small asymptomatic nodule or a large symptomatic lesion. Recently we experienced two cases of solitary pulmonary vascular tumors(epithelioid hemangioendothelioma and hemangiopericytoma), and reviewed them with references.

• Tuberculosis and Respiratory Diseases
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• v.67 no.2
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• pp.105-112
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• 2009

Background: Solitary pulmonary nodules (SPN) are encountered incidentally in 0.2% of patients who undergo chest X-ray or chest CT. Although SPN has malignant potential, it cannot be treated surgically by biopsy in all patients. The first stage is to determine if patients with SPN require periodic observation and biopsy or resection. An important early step in the management of patients with SPN is to estimate the clinical pretest probability of a malignancy. In every patient with SPN, it is recommended that clinicians estimate the pretest probability of a malignancy either qualitatively using clinical judgment or quantitatively using a validated model. This study examined whether Bayesian analysis or multiple logistic regression analysis is more predictive of the probability of a malignancy in SPN. Methods: From January 2005 to December 2008, this study enrolled 63 participants with SPN at the Kangnam Sacred Hospital. The accuracy of Bayesian analysis and Bayesian analysis with a FDG-PET scan, and Multiple logistic regression analysis was compared retrospectively. The accurate probability of a malignancy in a patient was compared by taking the chest CT and pathology of SPN patients with <30 mm at CXR incidentally. Results: From those participated in study, 27 people (42.9%) were classified as having a malignancy, and 36 people were benign. The result of the malignant estimation by Bayesian analysis was 0.779 (95% confidence interval [CI], 0.657 to 0.874). Using Multiple logistic regression analysis, the result was 0.684 (95% CI, 0.555 to 0.796). This suggests that Bayesian analysis provides a more accurate examination than multiple logistic regression analysis. Conclusion: Bayesian analysis is better than multiple logistic regression analysis in predicting the probability of a malignancy in solitary pulmonary nodules but the difference was not statistically significant.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.6019-6023
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• 2013

Lung cancer, one of the leading causes of cancer-related deaths, usually appears as solitary pulmonary nodules (SPNs) which are hard to diagnose using the naked eye. In this paper, curvelet-based textural features and clinical parameters are used with three prediction models [a multilevel model, a least absolute shrinkage and selection operator (LASSO) regression method, and a support vector machine (SVM)] to improve the diagnosis of benign and malignant SPNs. Dimensionality reduction of the original curvelet-based textural features was achieved using principal component analysis. In addition, non-conditional logistical regression was used to find clinical predictors among demographic parameters and morphological features. The results showed that, combined with 11 clinical predictors, the accuracy rates using 12 principal components were higher than those using the original curvelet-based textural features. To evaluate the models, 10-fold cross validation and back substitution were applied. The results obtained, respectively, were 0.8549 and 0.9221 for the LASSO method, 0.9443 and 0.9831 for SVM, and 0.8722 and 0.9722 for the multilevel model. All in all, it was found that using curvelet-based textural features after dimensionality reduction and using clinical predictors, the highest accuracy rate was achieved with SVM. The method may be used as an auxiliary tool to differentiate between benign and malignant SPNs in CT images.