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A Computer-Aided Diagnosis for Evaluating Lung Nodules on Chest CT: the Current Status and Perspective
Korean Journal of Radiology ; : 145-155, 2011.
Article in English | WPRIM | ID: wpr-18672
ABSTRACT
As the detection and characterization of lung nodules are of paramount importance in thoracic radiology, various tools for making a computer-aided diagnosis (CAD) have been developed to improve the diagnostic performance of radiologists in clinical practice. Numerous studies over the years have shown that the CAD system can effectively help readers identify more nodules. Moreover, nodule malignancy and the response of malignant lung tumors to treatment can also be assessed using nodule volumetry. CAD also has the potential to objectively analyze the morphology of nodules and enhance the workflow during the assessment of follow-up studies. Therefore, understanding the current status and limitations of CAD for evaluating lung nodules is essential to effectively apply CAD in clinical practice.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Radiography, Thoracic / Radiographic Image Interpretation, Computer-Assisted / Tomography, X-Ray Computed / Predictive Value of Tests / Clinical Trials as Topic / Diagnosis, Computer-Assisted / Sensitivity and Specificity / Solitary Pulmonary Nodule / Diagnosis, Differential / Lung Neoplasms Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Korean Journal of Radiology Year: 2011 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Radiography, Thoracic / Radiographic Image Interpretation, Computer-Assisted / Tomography, X-Ray Computed / Predictive Value of Tests / Clinical Trials as Topic / Diagnosis, Computer-Assisted / Sensitivity and Specificity / Solitary Pulmonary Nodule / Diagnosis, Differential / Lung Neoplasms Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Korean Journal of Radiology Year: 2011 Type: Article