• Tuberculosis and Respiratory Diseases
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• 제69권1호
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• pp.48-51
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• 2010

Sarcoidosis is a multi-systemic granulomatous disorder of unknown etiology. The characteristic pathological finding is the presence of non-caseating granulomas. The lungs are primarily affected, however other organs may be involved causing various symptoms and ambiguous laboratory findings can be present. There are a few reported cases of sarcoidosis with elevated tumor markers. We describe a 68-year-old woman presenting with sarcoidosis showing elevated serum carcinoembryonic antigen (CEA). The possibility of cancer arising from serum CEA such as gastrointestinal cancer, breast cancer and lung cancer was excluded. A transbronchial lung biopsy demonstrated a non-caseating granuloma without necrosis. As a result prescribed 30 mg prednisolone daily to the patient and serum CEA was decreased after 1 month of treatment. We report a case of pulmonary sarcoidosis with elevated serum CEA.

• Tuberculosis and Respiratory Diseases
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• 제46권5호
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• pp.723-728
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• 1999

Pulmonary embolism from metallic mercury is rare. It may occur after a deliberate intravenous injection of mercury as a suicide gesture, in the presence of drug abuse or severe psychiatric disturbance, with the hope of increasing athletic and sexual performance, and accidentally during right heart catheterization while sampling blood with mercury containing syringes. We have experienced the first case of pulmonary embolism associated with intravenous mercury injection in Korea. The blood mercury level remain elevated within the toxic range to date. This may be due to the continued absorption of embolized mercury. Multifocal areas of patchy perfusion defects are in both upper lung fields on perfusion scan of lung. Few of the abnormalities of respiratory or renal function reported previously were demonstrated. We report the case of a young male patient presenting with a clinical picture of pulmonary embolism, in whom widespread deposit of metallic mercury were demonstrated throughout both lungs and elsewhere in the body.

• Tuberculosis and Respiratory Diseases
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• 제53권4호
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• pp.463-469
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• 2002

저자들은 비폐색과 두통을 주소로 내원한 49세 남자에서 단백뇨 및 혈뇨와 병발된 다발성 폐결절을 발견하였고, c-ANCA와 조직검사를 통해 부비동, 폐, 신장을 침범한 Wegener씨 육아종증을 진단하고, cyclophosphamide와 스테로이드 병합투여로 증세가 호전되고, 흉부 방사선 사진에서도 호전된 소견을 보이는 환자를 경험하였기에 문헌고찰과 함께 보고하는 바이다.

• Tuberculosis and Respiratory Diseases
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• 제52권4호
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• pp.419-424
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• 2002

경금속 진폐증에 속하는 거대세포 간질성 폐렴은 경금속을 사용한 절삭, 연마의 과정 중 발생하는 분진을 흡입하여 발생하는 것으로 알려져 있으나 이러한 직업력이 불분명한 증례를 개흉생검술을 통해 진단하였기에 보고하는 바이다.

• Tuberculosis and Respiratory Diseases
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• 제66권3호
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• pp.236-240
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• 2009

저자들은 당뇨병의 과거력이 있는 57세 여자로 발열 및 호흡곤란을 주소로 내원하여 Mycoplasma pneumoniae에 의한 ARDS를 동반한 중증폐렴으로 오인되어 Levofloxacin 투여로 호흡곤란의 일시적인 호전 및 방사선적 소견상 호전을 보여 퇴원하였다. 퇴원 후 발열과 발한으로 시행한 HRCT 및 개흉 폐생검을 통해 속립성 결핵으로 진단되어 항결핵제 치료를 시행한 후 증상과 방사선학적 호전을 보였다. 폐렴의 치료 시 사용되는 fluoroquinolone제제의 결핵균에 대한 효과로 인해 결핵진단의 지연을 가져올 수 있어 급성 호흡곤란증후군과 같이 비전형적인 임상양상을 나타내는 속립성 결핵의 진단 시 주의를 기울여야겠다.

• Tuberculosis and Respiratory Diseases
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• 제66권3호
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• pp.220-224
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• 2009

콕시디오이데스 진균증은 미국 남서부 지역의 풍토병으로 알려져 있고 국내 발병 사례가 적으므로 진단에 혼선과 지연을 초래할 수 있다. 따라서 풍토지역 거주력이나 여행력을 문진하는 것이 매우 중요하고 호산구 증다증을 동반할 경우 콕시디오이데스 진균증을 감별질환의 한 가지로 생각해야 할 것이다. 또한 의심이 되는 경우 적극적인 조직검사 및 엄격한 보호아래 시행되는 배양검사를 통한 진단과 치료가 필요하겠다. 저자들은 C.immitis 풍토지역인 미국 애리조나 주에서 거주 후 입국한 정상 면역력환자에서 다발성 폐경화 및 폐문부 림프절 비대 소견을 보여 조직 검사와 기관지세척액 및 폐조직배양검사를 통하여 폐 콕시디오이데스 진균증으로 진단한 1예를 경험하였기에 문헌고찰과 함께 보고하는 바이다.

• Tuberculosis and Respiratory Diseases
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• 제65권5호
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• pp.421-425
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• 2008

외인성 지방성 폐렴은 지방물질의 흡인에 의하여 발생하는 폐의 만성 염증성 질환으로 임상병력, 방사선학적 이상소견과 폐조직에서 지방을 함유한 대식세포를 발견하여 진단할 수 있다. 기여인자로 신경학적 질환, 의식상태의 변화 및 연하장애를 유발하는 위식도 질환들이 있으며, 대부분 보존적 치료를 통해 호전되나 재발을 방지하기 위하여 기여인자에 대한 치료가 필요할 것으로 생각된다. 저자들은 식도이완불능증 환자에서 스쿠알렌 복용 후 발생한 지방성 폐렴을 경험하였기에 문헌고찰과 함께 보고하는 바이다.

• Tuberculosis and Respiratory Diseases
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• 제75권4호
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• pp.165-169
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• 2013

An inflammatory myofibroblastic tumor (IMT) is a rare disease entity reported to arise in various organs. It is thought to be a neoplastic or reactive inflammatory condition, controversially. The treatment of choice for myofibroblastic tumor is surgery, and recurrence is known to be rare. The optimal treatment method is not well-known for patients ineligible for surgery. We report a 47-year-old patient with aggressive recurrent IMT of the lungs. The patient had been admitted for an evaluation of back-pain two years after a complete resection of pulmonary IMT. Radiation therapy was performed for multiple bone recurrences, and the symptoms were improved. However the patient presented again with aggravated back-pain six months later. High-dose steroid and non-steroidal anti-inflammatory drugs were administered, but the disease progressed aggressively, resulting in spinal cord compression and metastasis to intra-abdominal organs. This is a very rare case of aggressively recurrent pulmonary IMT with multi-organ metastasis.

• Asian Pacific Journal of Cancer Prevention
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• 제17권12호
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• pp.5159-5164
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• 2016

Objective: The dynamics of morbidity, disability and death rates due to malignant neoplasms in the population in Uralsk city of the Republic of Kazakhstan were studied for 2011-2015, with a focus on age and sex, as well as tumor location. Methods: Statistics for total morbidity, primary disability and mortality from cancer in the adult population of the city of Uralsk for 2011-2015 were calculated per 100 thousand. Estimation of morbidity was based on data from form - $N{\underline{o}}12$ ${\ll}$Report on the number of diseases registered in patients living in the area of health care organizations and patient population under medical observation". Evaluation of primary disability was based on form $N{\underline{o}}7$ ${\ll}$The distribution of newly recognized disabled by disease class, age, sex and disability groups" for 2011-2015 in Ural city and analysis of cancer was carried out using annual form 7 "Report on the sick, and diseases of malignant neoplasms". Result: The most common localizations of cancer were the trachea, bronchi, lungs, stomach and mammary glands. High death rates were noted for patients with cancer of the trachea, bronchi, lung, as compared to stomach and esophagus. Conclusion: The results of our investigation and data in the literature indicate that regional characteristics influence the impact of risk factors associated with cancer. An unfavorable environmental background contributes to ill health of urban populations, contributing to development of cancer. Moreover behavioral risk factors are very important, such as smoking, alcohol drinking, and an unhealthy diet. All these factors require urgent adoption of a package of measures for prevention, early detection and timely treatment. Detailed study of cancer is necessary to develop national programs and activities for prevention and control.

• 한국의학물리학회지:의학물리
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• 제30권2호
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• pp.49-58
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• 2019

Purpose: Automated analytical systems have begun to emerge as a database system that enables the scanning of medical images to be performed on computers and the construction of big data. Deep-learning artificial intelligence (AI) architectures have been developed and applied to medical images, making high-precision diagnosis possible. Materials and Methods: For diagnosis, the medical images need to be labeled and standardized. After pre-processing the data and entering them into the deep-learning architecture, the final diagnosis results can be obtained quickly and accurately. To solve the problem of overfitting because of an insufficient amount of labeled data, data augmentation is performed through rotation, using left and right flips to artificially increase the amount of data. Because various deep-learning architectures have been developed and publicized over the past few years, the results of the diagnosis can be obtained by entering a medical image. Results: Classification and regression are performed by a supervised machine-learning method and clustering and generation are performed by an unsupervised machine-learning method. When the convolutional neural network (CNN) method is applied to the deep-learning layer, feature extraction can be used to classify diseases very efficiently and thus to diagnose various diseases. Conclusions: AI, using a deep-learning architecture, has expertise in medical image analysis of the nerves, retina, lungs, digital pathology, breast, heart, abdomen, and musculo-skeletal system.