• 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.

• Korean Journal of Radiology
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• v.23 no.1
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• pp.139-149
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• 2022

Objective: To compare the effects of bone suppression imaging using deep learning (BSp-DL) based on a generative adversarial network (GAN) and bone subtraction imaging using a dual energy technique (BSt-DE) on radiologists' performance for pulmonary nodule detection on chest radiographs (CXRs). Materials and Methods: A total of 111 adults, including 49 patients with 83 pulmonary nodules, who underwent both CXR using the dual energy technique and chest CT, were enrolled. Using CT as a reference, two independent radiologists evaluated CXR images for the presence or absence of pulmonary nodules in three reading sessions (standard CXR, BSt-DE CXR, and BSp-DL CXR). Person-wise and nodule-wise performances were assessed using receiver-operating characteristic (ROC) and alternative free-response ROC (AFROC) curve analyses, respectively. Subgroup analyses based on nodule size, location, and the presence of overlapping bones were performed. Results: BSt-DE with an area under the AFROC curve (AUAFROC) of 0.996 and 0.976 for readers 1 and 2, respectively, and BSp-DL with AUAFROC of 0.981 and 0.958, respectively, showed better nodule-wise performance than standard CXR (AUAFROC of 0.907 and 0.808, respectively; p ≤ 0.005). In the person-wise analysis, BSp-DL with an area under the ROC curve (AUROC) of 0.984 and 0.931 for readers 1 and 2, respectively, showed better performance than standard CXR (AUROC of 0.915 and 0.798, respectively; p ≤ 0.011) and comparable performance to BSt-DE (AUROC of 0.988 and 0.974; p ≥ 0.064). BSt-DE and BSp-DL were superior to standard CXR for detecting nodules overlapping with bones (p < 0.017) or in the upper/middle lung zone (p < 0.017). BSt-DE was superior (p < 0.017) to BSp-DL in detecting peripheral and sub-centimeter nodules. Conclusion: BSp-DL (GAN-based bone suppression) showed comparable performance to BSt-DE and can improve radiologists' performance in detecting pulmonary nodules on CXRs. Nevertheless, for better delineation of small and peripheral nodules, further technical improvements are required.

• Tuberculosis and Respiratory Diseases
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• v.40 no.5
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• pp.622-626
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• 1993

When the chest roentgenogram reveals the presence of multiple pulmonary nodules, the basic investigation includes a history, physical examination, routine hematologic and urine studies, and sputum specimens to search the etiology. We have experienced a case of endometrial sarcoma with metastasis to the lung.

• Journal of Chest Surgery
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• v.14 no.3
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• pp.225-227
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• 1981

A 31-year-old female visited O.P.D. of internal medicine, Kyung Hee Medical center, with the chief complaint of generalized weakness and headache. She took a routine chest P-A and there was a 6.5 x 7.5 cm sized round mass in the right middle lung field. She admitted to the Dept. of Thoracic and Cardiovascular Surgery under the impression of malignant bronchogenic carcinoma with the remit of bronchoscopy and sputum cytology and tomogram. Middle and lower lobectomy of right lung was performed and postoperative surgical biopsy revealed out the plasma cell granuloma. The plasma cell granuloma may occur as a solitary nodule in the lung or be associated with systemic disease, plasma protein imbalance, or nonspecific local inflammatory reaction . More than two third of the reported patients were less than 30 year of age. Grossly the lesion appears reddish-brown and microscopic features include pallisade or a cartwheel distribution of plasma cells with Russel bodies and amyloid. Local excision or lobectomy has been curative in most cases.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.1
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• pp.13-19
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• 2012

In this paper, we propose the pulmonary nodule detection method based on hierarchical 3D block analysis. The proposed system consists of two main part. In the first part, we select the block which is need to analysis. In the second part, we analysis the selected blocks. We extract the shape based features of the object in the selected blocks. Support Vector Machine is applied to the extracted features to classify into nodules and non-nodules.

• Journal of Chest Surgery
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• v.36 no.12
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• pp.943-951
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• 2003

We are now detecting an increasing number of solitary pulmonary nodules (SPNs) that are difficult to diagnosis. The purpose of this study was to evaluate the useful radiologic findings for differentiating benign from malignant pulmonary nodules. Material and Method: The high-resolution CT (HRCT) findings of SPNs smaller than 3 cm in largest diameter were evaluated in 134 patients with malignant and benign nodules in regard to internal structures, margin characteristics, and surrounding parenchymal responses. Result: The nodules with the area of ground-glass attenuation (GGA) greater then 50% were noted in adenocarcinoma, inflammatory lesions and some of metastatic tumors, and the lesions greater than 90% were noted only in adenocarcinoma. The area of GGA in non-adenocarcinoma, benign tumors and tuberculomas were less than 50%, and mainly less than 10%. The findings of air bronchogram, spiculation, lobulation, vascular involvement, and pleural indentation were some noted at every types of malignant tumors, but especially high over than 30% in adenocarcinomas. Conclusion: Most peripheral lung adenocarcinomas form a characteristic radiologic findings especially in HRCT. Evaluation of these findings would be helpful in differentiating between lung cancer, especially adenocarcinoma, and other lesions.

• The Korean Journal of Cytopathology
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• v.15 no.2
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• pp.101-105
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• 2004

Fine needle aspiration (FNA) cytological examination is an appropriate method for the evaluation of pulmonary nodules. In major types of lung cancer, Its diagnostic accuracy is quite high. However, it is sometimes difficult, using this technique, to differentiate between some unusual phenotypes including adenosquamous carcinoma, bronchioloalveolar carcinoma (BAC), neuroendocrine tumor, mucoepidermoid carcinoma, and sclerosing hemangioma. Here, we present a case involving extremely well differentiated adenosquamous carcinoma, mimicking benign lesions, such as pulmonary scar and adenomatoid malformation with squamous metaplasia. The patient was a 68-year-old man presenting with a solitary pulmonary nodule$(1.6\times1.6cm)$, which was incidentally found at the periphery of the right lower lobe. FNA revealed some clusters of glandular cells with minimal atypia, in addition to squamous cells at a nearly full maturational state. Histological examination verified the cytological diagnosis on a lobectomy specimen. The tumor exhibited a well differentiated adenocarcinoma component, mimicking the bronchioles in scarred lung tissue. and a well differentiated squamous cell carcinoma component, mimucking the squamous cell nests of adenoacanthoma, in the other organs. In the present case, the possibility of adenosquamous carcinoma should have been considered if squamous cells were seen in the FNA from the peripheral pulmonary nodule, even though they appeared to be benign.

• Tuberculosis and Respiratory Diseases
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• v.75 no.2
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• pp.67-70
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• 2013

A 52-year-old man was referred to our clinic for an 11.3 mm nodule in the left lower lobe that was discovered on a chest computed tomography (CT) scan. Eleven small nodules were subsequently found in both lungs. Initially, we performed a transthoracic needle aspiration using CT scan guidance. The pathologic report showed a few clusters of atypical cells that were suspicious for malignancy. The positron emission tomography images revealed multiple lung nodules scattered throughout both lungs. The largest nodule (11.3 mm) in the left lower lobe did not have any discernible fludeoxyglucose uptake. For pathologic confirmation, we consulted a thoracic surgeon to perform the video-assisted thoracoscopic surgery. The final diagnosis was minute pulmonary meningothelial-like nodules (MPMNs). MPMNs are benign in nature, and only a few cases require treatment. However, when clinicians are suspicious of potential malignancy, a pathological correlation is essential, even if the final diagnosis is MPMNs.

• Tuberculosis and Respiratory Diseases
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• v.51 no.2
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• pp.147-154
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• 2001

Background : Bronchoscopy has been widely used for a histologic diagnosis through a transbronchial lung biopsy or for staging of patients with peripheral lung cancer. However a transthoracic needle aspiration (TTNA) has been used more widely for a histologic diagnosis in patient with a small size nodule or a nodule located in the outer portion of the lung because of the low diagnostic yield of bronchoscopy in these cases. The role of bronchoscopy for staging is not well established in patients with peripheral lung cancer diagnosed by a TTNA or patients who are undergoing surgery without a histologic diagnosis. Method: To evaluate the role of bronchoscopy for the staging in patients with peripheral lung cancer, who were diagnosed by TTNA, the medical records of 86 patients with peripheral lung cancer who underwent bronchoscopyat Kyungpook National University Hospital between January 1995 and May 1997 were reviewed. Results : While 53 cases had normal bronchoscopic findings, 33 cases had abnormal bronchoscopic findings comprising 9 cases of tumor, 10 cases of infiltration and 14 cases of compression of which there were 25 cases of T1 and 8 T2 endoscopically. The bronchoscopic staging did not influence the changes of the clinical stage of lung cancer. The frequencies of bronchial involvement tended to increase as the sizes of the nodule increased. Among the 42 patients who underwent surgery, 9 patients staged higher after operation because of lymph node involvement in 8 patients and the involvement of the pulmonary artery in 1 patient. No case staged above after operation due to a bronchial invasion. Conclusion : These findings suggests that bronchoscopy is not useful for staging in patients with peripheral lung cancer diagnosed by a TTNA.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.35-43
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• 2009

In the Computer Aided Diagnosis(CAD) System, the efficient way of classifying nodules from chest CT images of a patient is to perform the classification of the remaining part after the pulmonary vessel extraction. During the pulmonary vessel extraction, due to the small difference between the vessel and nodule features in imaging studies such as CT scans after having an injection of contrast, nodule maybe extracted along with the pulmonary vessel. Therefore, the pulmonary vessel extraction method plays an important role in the nodule classification process. In this paper, we propose a nodule reclassification method based on vessel thickness analysis. The proposed method consist of four steps, lung region searching step, vessel extraction and thinning step, vessel topology formation and correction step and the reclassification of nodule in the vessel candidate step. The radiologists helped us to compare the accuracy of the CAD system using the proposed method and the accuracy of general one. Experimental results show that the proposed method can extract pulmonary vessels and reclassify false-positive nodules accurately.