A Computer-Aided Diagnosis for Evaluating Lung Nodules on Chest CT: the Current Status and Perspective

被引：60

作者：

Goo, Jin Mo ^{[1
,2
]}

机构：

[1] Seoul Natl Univ, Coll Med, Dept Radiol, Seoul 110744, South Korea

[2] Seoul Natl Univ, Med Res Ctr, Inst Radiat Med, Seoul 110744, South Korea

来源：

KOREAN JOURNAL OF RADIOLOGY | 2011年 / 12卷 / 02期

关键词：

Computed tomography (CT); Lung nodule; Computer-aided diagnosis; Volumetry; Follow-up; SMALL PULMONARY NODULES; GROUND-GLASS OPACITY; MULTIDETECTOR ROW CT; IMAGE-RECONSTRUCTION PARAMETERS; FOLLOW-UP; VOLUMETRIC MEASUREMENTS; DETECTION SYSTEM; RADIOLOGIST PERFORMANCE; DIFFERENTIATING BENIGN; PRELIMINARY EXPERIENCE;

D O I：

10.3348/kjr.2011.12.2.145

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：145 / 155

页数：11

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