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Computer Assisted Diagnosis System for CT Screening of Lung Cancer

肺癌CT筛查计算机辅助诊断系统

基本信息

批准号：
08308042
负责人：
NIKI Noboru
金额：
$ 6.46万
依托单位：
University of Tokushima
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1998
项目状态：
已结题

项目摘要

In Japan more than 45,000 people died of lung cancer in 1997 and the lung cancer was the highest cause among males. Recently, several studies have been reporting feasibility and efficacy of helical CT imaging that it may be an effective screening modality for lung cancer. In order to improve the chance of detecting pulmonary nodules which may be early lung cancers, we have been developping a computer-assisted diagnostic (CAD) system. This CAD system has an automatic detection of candidate nodules based on low dose helical CT images. Double reading of the CT screening is one potential solution to decreasing the number of the missed nodules. However, in practice, that is not feasible. Another potential solution is the use of the CAD system as the second reader. Two thousand consecutive CT images, which are obtained as part of lung cancer screeing, were tested to the thoracic radiologists and the CAD system. As a result, many candidate nodules were detected by the CAD system which were not seen initially by the radiologist. The double reading between the radiologist and the CAD system was effectively certified. The CAD system also has a benign or malignant diagnosis for each nodule candidate based on high dose helical CT images. A hundred of consecutive CT images, which are measured for the detection of candidate nodules on the CT screening, were comparatively evaluated between the radiologists and the CAD system. The CAD system showed an 80 % performance superior to the radiologist interpretation. The CAD software may detect pulmonary nodules which may have otherwise been overlooked by the radiologists at the initial interpretation. This may provide substantial benefit to the patient if the detected nodules are found to be at an early stage of lung cancer.

1997年，日本有超过45,000人死于肺癌，而肺癌是男性中死亡率最高的原因。最近，一些研究报告了螺旋CT成像的可行性和有效性，表明它可能是肺癌的有效筛查方式。为了提高检测出可能是早期肺癌的肺结节的机会，我们一直在开发计算机辅助诊断（CAD）系统。该 CAD 系统可根据低剂量螺旋 CT 图像自动检测候选结节。 CT 筛查的双重读取是减少漏检结节数量的一种潜在解决方案。然而，在实践中，这是不可行的。另一个潜在的解决方案是使用 CAD 系统作为第二个阅读器。作为肺癌筛查的一部分获得的 2000 张连续 CT 图像已接受胸部放射科医生和 CAD 系统的测试。结果，CAD 系统检测到了许多放射科医生最初未发现的候选结节。放射科医生和CAD系统之间的双重读取得到了有效认证。 CAD 系统还根据高剂量螺旋 CT 图像对每个候选结节进行良性或恶性诊断。放射科医生和 CAD 系统对一百张连续的 CT 图像进行了比较评估，这些图像用于在 CT 筛查中检测候选结节。 CAD 系统的性能优于放射科医生解释的 80%。 CAD 软件可以检测肺部结节，否则放射科医生在最初的解读中可能会忽略这些结节。如果发现检测到的结节处于肺癌的早期阶段，这可能会给患者带来实质性的好处。