首页> 外文期刊>Radiology >Detection failures in spiral CT screening for lung cancer: analysis of CT findings.
【24h】

Detection failures in spiral CT screening for lung cancer: analysis of CT findings.

机译:螺旋螺旋CT筛查肺癌的检测失败:CT表现分析。

获取原文
获取原文并翻译 | 示例
       

摘要

PURPOSE: To clarify the computed tomographic (CT) findings and the progression of minute lung cancers that were missed at initial spiral CT screening but were later detected. MATERIALS AND METHODS: The findings from seven patients with lung cancer that was missed at the initial spiral CT screening were reviewed. Retrospective CT findings, time to detection, cell type, and pathologic stage were evaluated. RESULTS: Minute lung cancers missed at early spiral CT included a nodule among the shadows of old tuberculosis (n = 2), a faint nodule with high attenuation in the center of the nodule (n = 1), an increase in attenuation just adjacent to an axial peripheral pulmonary vessel (n = 1) and adjacent to a craniocaudal peripheral pulmonary vessel (n = 1), and a minute faint nodule (n = 2). The time to detection ranged from 6 to 18 months. At pathologic examination, six cancers were stage I, and one was stage II. CONCLUSION: Minute nodules of lung cancer that are near the threshold of detectability may be missed at spiral CT screening. It is important to examine noncalcified nodules with thin-section CT even when lesions from prior disease, such as those from old tuberculosis, exist and to evaluate the shadows of pulmonary vessels carefully. A follow-up examination is highly recommended.
机译:目的:为阐明计算机断层扫描(CT)的发现以及微小的肺癌进展,这些进展在最初的螺旋CT筛查中被遗漏,但后来被发现。材料和方法:回顾了最初螺旋CT筛查漏诊的7例肺癌患者的发现。回顾性CT检查结果,检测时间,细胞类型和病理分期均进行了评估。结果:早期螺旋CT漏诊的微小肺癌包括一个在旧结核阴影中的结节(n = 2),一个微弱的结节,在结节中心的高度衰减(n = 1),在与之相邻的衰减增加轴向外周肺血管(n = 1),并与颅尾外周肺血管(n = 1)相邻,并有微弱的小结节(n = 2)。检测时间为6到18个月不等。在病理检查中,六种癌症为I期,一种为II期。结论:螺旋CT筛查可能漏诊了接近可检测阈值的微小结节。重要的是,即使存在先前疾病(例如旧结核病)的病变,也要用薄层CT检查未钙化的结节,并仔细评估肺血管的阴影。强烈建议进行随访检查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号