No abstract available.
Diagnosis* ; Lung Diseases* ; Lung*

173 patients admitted to the Respiratory Department of Bach Mai Hospital between 12/2000 to 7/2001 were underwent flexible bronchoscopy. The results showed that the rate of bronchial cancer was highest (57.8%). Among that, the rate of central bronchial cancer was 87% and the rate of periperal bronchial cancer was 13%. Lung tuberculosis was 8.1% and chronic bronchitis is 9.8%. Bronchoscopy was useful in diagnosing some other conditions such as asthma, sarcoidosis, laryngoptosis etc. Bronchoscopy combined with bronchial fluid aspiration produced high diagnostic value in bronchial tuberculosis. Rate of smokers in bronchial cancer patients was 60%. The higher level of smoking, the more likely to be suffered from lung cancer.
Bronchoscopy ; lung ; Lung Diseases ; diagnosis

No abstract available.
Diagnosis* ; Lung Diseases*

The introduction of high-resolution CT (HRCT) in recent years has improved the ability of radiologists to detect and characterize the diffuse infiltrative lung disease (DILD). The detection and diagnosis of diffuse lung disease using HRCT are based on the recognition of specific abnormal findings. In this article, pattern recognition of HRCT findings is reviewed in the differential diagnosis of diffuse infiltrative lung disease. In general, HRCT findings of lung disease can be classified into four categories based on their appearances. These categories consist of (1) nodules and nodular opacities, (2) linear and reticular opacities, (3) increased lung opacity, and (4) decreased lung opacity, including cystic lesions.
Diagnosis ; Diagnosis, Differential ; Lung Diseases ; Lung*

Background: Bronchoscopy is an essential technique for diagnosis of some lung diseases by taking samples for histological and cytological tests. Objective: To assess the role of transbronchial lung biopsy procedure in diagnosis some parenchymal pulmonary diseases. Subjects and method: A retrospective study conducted in 50 patients with diffuse and localized lung diseases, who were admitted to the Department of Respiratory in Bach Mai Hospital, from January 2003 to December 2005. Results: Transbronchial lung biopsy confirmed the diagnosis in 30 of 50 (60%) cases; with localized malignant lesions (12%), diffuse lung disease (16%), tuberculosis (28%), and cystic fibrosis (4%). Following transbronchial lung biopsy, two patients had pneumothorax (1 patient had chest tube drainage) and five patients had hemoptysis but no of them required further treatment. Conclusions: Transbronchial lung biopsy offer good diagnostic accuracy and low complication rate.
Bronchoscopy/ contraindications ; Lung Diseases/ diagnosis

A prospective trial has based a combination of established technique. Such as conventional diagnostic procedures (endobronchial forcepsbiopsy, bronchial brushing) and transbronchial needle aspiration. These techniques result in an excellent diagnostic yield and safe. Study object 61 patients in clinic, x-ray age at diagnosis 32-75 years, (range 53,5 years) having bronchogenic carcinoma in suspection. All most of them were in brochoscopy and operation. 70,49% patients have mediastinal and hilar lympho node. There was no incidence and complication happened.
Lung Neoplasms ; Bronchial Diseases ; diagnosis

Diagnosis, Differential ; Granuloma/diagnosis* ; Humans ; Lung ; Lung Diseases/diagnosis*

The Radiology approach to diffuse infiltrative lung disease (DILD) is based on a chest radiography and CT. Chest radiography can categorize DILD into five main patterns of abnormality: linear, reticular, cystic, nodular, and ground-glass patterns. The CT patterns of DILD can be classified into six patterns including thickened interlobular septa, reticular, cystic, nodular, ground-glass, and consolidation patterns. The pertinent differential diagnosis of DILD is based on the pattern recognition approach of abnormalities, and a specific diagnosis can often be made using chest radiography and CT. This pictorial essay illustrates the radiology pattern recognition approach for DILD using chest radiography and CT.
Diagnosis ; Diagnosis, Differential ; Lung Diseases* ; Lung* ; Radiography ; Thorax

PURPOSE: We wanted to develop and test an artificial intelligence (AI) to assist physicians in making the thin-section CT diagnosis of diffuse pulmonary diseases. MATERIALS AND METHODS: The AI was composed of knowledge bases (KB) of 12 diffuse pulmonary diseases and an inference engine (IE). The KB of a disease included both the inclusion criteria (IC) and the exclusion criteria (EC), which were the clinical or thin-section CT findings that were known to be present or absent in that particular disease, respectively. From imputing the clinical or thin-section CT findings by the operator who was reading the thin-section CT, AI instantly executed the following two steps. First, the IE eliminated all diseases from the list which the EC had for those particular findings. Next, from a list of remaining diseases, the AI selected those diseases having those findings in its IC to formulate the 1st-step differential diagnosis (DD1). For the differential diagnosis in the next step, the reader could choose one more clinical or thin-section CT finding from the new list: [(all the findings in the IC or EC of DD1) - (the findings in the IC common to all the DD1s)]. The reader could proceed even further if needed. The system was tested on 10 radiology residents who solved 24 problems (two problems for each of 12 diffuse pulmonary diseases) without and then with the aid of the AI. The scores were compared using the Wilcoxon signed rank test. RESULTS: An AI was made; it was composed of 280 rules (214 IC and 66 EC) and three interfaces (two for program management and another for problem solving). Contestants scored higher (p = 0.0078) using the AI (167 vs. 110 respectively), and they responded that they felt that the program was helpful in making decisions. CONCLUSION: AI appeared to be helpful in making thin-section CT diagnosis.
Artificial Intelligence* ; Diagnosis* ; Diagnosis, Differential ; Knowledge Bases ; Lung ; Lung Diseases*

Child ; Humans ; Lung Diseases, Interstitial ; diagnosis