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Application of computer-aided diagnosis in early detection of pulmonary nodules based on digital chest radiograph / 生物医学工程学杂志
J. biomed. eng ; Sheng wu yi xue gong cheng xue za zhi;(6): 1117-1120, 2014.
Article em Zh | WPRIM | ID: wpr-234447
Biblioteca responsável: WPRO
ABSTRACT
This study aims to explore the clinical value of the computer-aided diagnosis (CAD) system for early detection of the pulmonary nodules on digital chest X-ray. A total of 100 cases of digital chest radiographs with pulmonary nodules of 5-20 mm diameter were selected from Pictures Archiving and Communication System (PACS) database in West China Hospital of Sichuan University were enrolled into trial group, and other 200 chest radiographs without pulmonary nodules as control group. All cases were confirmed by CT examination. Firstly, these cases were diagnosed by 5 different-seniority doctors without CAD, and after three months, these cases were re-diagnosed by the 5 doctors with CAD. Subsequently, the diagnostic results were analyzed by using SPSS statistical methods. The results showed that the sensitivity and specificity for detecting pulmonary nodules tended to be improved by using the CAD system, especially for specificity, but there was no significant difference before and after using CAD system.
Assuntos
Texto completo: 1 Índice: WPRIM Assunto principal: Patologia / Tórax / Radiografia Torácica / Intensificação de Imagem Radiográfica / China / Diagnóstico por Computador / Diagnóstico Precoce / Pulmão Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Revista: J. biomed. eng / Sheng wu yi xue gong cheng xue za zhi Ano de publicação: 2014 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Assunto principal: Patologia / Tórax / Radiografia Torácica / Intensificação de Imagem Radiográfica / China / Diagnóstico por Computador / Diagnóstico Precoce / Pulmão Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Revista: J. biomed. eng / Sheng wu yi xue gong cheng xue za zhi Ano de publicação: 2014 Tipo de documento: Article