No abstract available.
Carcinoma, Papillary ; Lung ; Lung Neoplasms ; Multiple Pulmonary Nodules ; Thyroid Gland

Myopericytoma is a benign tumor that occurs in soft tissues. Myopericytoma in the lungs is very rare. We report the case of a 63-year-old woman presenting with cavitary masses in the left lung and multiple tiny nodules in both lungs. She underwent surgery, and a histological examination revealed primary pulmonary myopericytoma.
Female ; Humans ; Lung ; Middle Aged ; Multiple Pulmonary Nodules

When pulmonary nodules are detected in children receiving chemotherapy for osteosarcoma, it is often assumed that they have metastatic disease. However, these pulmonary nodules do not always represent metastatic disease. There are considerable similarities in the computed tomography (CT) images of benign pulmonary nodules and those of malignant nodules. Therefore, we have to be careful when diagnosing pulmonary metastases based on chest CT scan alone. We report a case of benign multiple pulmonary nodules in a patient with osteosarcoma.
Child ; Humans ; Multiple Pulmonary Nodules ; Neoplasm Metastasis ; Osteosarcoma ; Thorax

Lung cancer has the highest mortality rate among all malignant tumors. The key to reducing lung cancer mortality is the accurate diagnosis of pulmonary nodules in early-stage lung cancer. Computer-aided diagnostic techniques are considered to have potential beyond human experts for accurate diagnosis of early pulmonary nodules. The detection and classification of pulmonary nodules based on deep learning technology can continuously improve the accuracy of diagnosis through self-learning, and is an important means to achieve computer-aided diagnosis. First, we systematically introduced the application of two dimension convolutional neural network (2D-CNN), three dimension convolutional neural network (3D-CNN) and faster regions convolutional neural network (Faster R-CNN) techniques in the detection of pulmonary nodules. Then we introduced the application of 2D-CNN, 3D-CNN, multi-stream multi-scale convolutional neural network (MMCNN), deep convolutional generative adversarial networks (DCGAN) and transfer learning technology in classification of pulmonary nodules. Finally, we conducted a comprehensive comparative analysis of different deep learning methods in the detection and classification of pulmonary nodules.
Deep Learning ; Humans ; Multiple Pulmonary Nodules ; Neural Networks, Computer ; Solitary Pulmonary Nodule ; Tomography, X-Ray Computed

Humans ; Multiple Pulmonary Nodules ; Lung ; Lung Neoplasms/surgery* ; Solitary Pulmonary Nodule/surgery* ; Bronchoscopy

Sarcoidosis is a multi-organ disease with various clinical manifestations. The lung is the most common site of manifestation; however, unusual findings may delay the correct diagnosis of sarcoidosis. Here we report a case of 32-year-old man with 4-month history of neck mass. Radiological findings revealed multiple pulmonary parenchymal nodules, with initial biopsy results of his neck lymph node showing chronic granuloma with focal necrosis. The patient was treated with anti-tuberculosis medications, but the size of the nodules did not change. Biopsy was performed from one of his pulmonary nodules, which revealed chronic granuloma without necrosis. Therefore, the patient was diagnosed with sarcoidosis. We present a case of sarcoidosis with multiple lung parenchymal nodules that is uncommon in Korea, with an aim to alert physicians of such unusual presentations.
Adult ; Biopsy ; Diagnosis ; Granuloma ; Humans ; Korea ; Lung* ; Lymph Nodes ; Multiple Pulmonary Nodules ; Neck ; Necrosis ; Sarcoidosis*

Pulmonary cryptococcosis is rare in immunocompetent subjects. Here, we present the case of a 16-year-old boy who was referred to our pediatric department for the management of multiple consolidations detected on chest radiography, which was routinely performed when the patient was being evaluated for an ankle fracture. Fine needle aspiration biopsy was performed, and the definitive diagnosis was established as cryptococcal pneumonia. After 8 weeks of antifungal treatment, the pulmonary nodules on the chest radiographs disappeared.
Adolescent ; Animals ; Ankle ; Biopsy ; Biopsy, Fine-Needle ; Child ; Cryptococcosis ; Humans ; Multiple Pulmonary Nodules ; Pneumonia ; Thorax

BACKGROUND: Caplan originally described a condition, now reffered to as Caplan's syndrome or Caplan's disease, where progressive massive fibrosis was exhibited by coal miners with multiple pulmonary nodules, and rheumatoid arthritis. This syndrome is very rare in Korea. CASE REPORT: The patient was a 49-year old male, with occupational history as a stonemason for 25 years. Silicosis was diagnosed by chest X-ray, while rheumatoid arthritis was diagnosed by immunological examination. Caplan's syndrome was confirmed based on these findings, occupational history, and clinical symptoms. DISCUSSION: The authors report on the patient's Caplan's syndrome, with a particular focus on his silicosis.
Arthritis, Rheumatoid ; Caplan Syndrome ; Coal ; Fibrosis ; Humans ; Korea ; Male ; Multiple Pulmonary Nodules ; Pneumoconiosis ; Silicosis ; Thorax

A benign metastasizing leiomyoma is a rare condition that affects women with a history of uterine leiomyoma, usually after a myomectomy or hysterectomy. Typical radiographic findings include well-circumscribed solitary or multiple pulmonary nodules ranging from a few millimeters to several centimeters in diameter and scattered among the normal interstitium. We report a case of a benign metastasizing leiomyoma that manifested with multiple cavitary nodules in a 46-year-old woman with no previous history of a myomectomy or hysterectomy.
Female ; Humans ; Hysterectomy ; Leiomyoma* ; Lung ; Middle Aged ; Multiple Pulmonary Nodules ; Neoplasm Metastasis ; Uterus

The aim of this study was to propose an algorithm for three-dimensional projection onto convex sets (3D POCS) to achieve super resolution reconstruction of 3D lung computer tomography (CT) images, and to introduce multi-resolution mixed display mode to make 3D visualization of pulmonary nodules. Firstly, we built the low resolution 3D images which have spatial displacement in sub pixel level between each other and generate the reference image. Then, we mapped the low resolution images into the high resolution reference image using 3D motion estimation and revised the reference image based on the consistency constraint convex sets to reconstruct the 3D high resolution images iteratively. Finally, we displayed the different resolution images simultaneously. We then estimated the performance of provided method on 5 image sets and compared them with those of 3 interpolation reconstruction methods. The experiments showed that the performance of 3D POCS algorithm was better than that of 3 interpolation reconstruction methods in two aspects, i.e., subjective and objective aspects, and mixed display mode is suitable to the 3D visualization of high resolution of pulmonary nodules.
Algorithms ; Humans ; Imaging, Three-Dimensional ; Lung ; pathology ; Multiple Pulmonary Nodules ; diagnosis ; Tomography, X-Ray Computed