人民卫生出版社系列期刊
ISSN 2096-2738 CN 11-9370/R

中国科技核心期刊(中国科技论文统计源期刊)
2020《中国学术期刊影响因子年报》统计源期刊

新发传染病电子杂志 ›› 2018, Vol. 3 ›› Issue (2): 115-117.

• 论著 • 上一篇    下一篇

数字化X线胸片计算机辅助诊断鉴别肺结节良恶性研究

赵文俐1, 郭红云1, 林土兴2, 权申文3, 李牡兰3   

  1. 1.深圳市南山区西丽人民医院,广东 深圳 518055;
    2.深圳市南山区蛇口人民医院,广东 深圳 518067;
    3.深圳市智影医疗科技有限公司,广东 深圳 518109
  • 收稿日期:2018-01-09 出版日期:2018-05-30 发布日期:2020-06-29
  • 通讯作者: 李牡兰,Email:limulan_@hotmail.com
  • 基金资助:
    深圳市南山区科技计划区属事业单位研发项目《计算机辅助诊断早期肺癌DR图像的数据库建立及技术开发》资助

Differentiation of benign and malignant pulmonary nodules by computer-aided diagnosis of digital chest X-ray

ZHAO Wen-li1, GUO Hong-yun1, LIN Tu-xing2, QUAN Shen-wen3, LI Mu-lan3   

  1. 1. ShenZhen XiLi People's Hospital, GuangDong ShenZhen 518055,China;
    2. ShenZhen SheKou People's Hospital, GuangDong ShenZhen 518067, China;
    3. ShenZhen Smart Imaging Healthcare Co.,Ltd, GuangDong ShenZhen 518109,China
  • Received:2018-01-09 Online:2018-05-30 Published:2020-06-29

摘要: 目的 观察分析数字化X线胸片计算机辅助诊断(computer-aided diagnosis,CAD)鉴别肺结节良恶性。方法 回顾性分析于2016年1月至2017年6月期间深圳市南山区西丽人民医院收治的154例单发结节患者作为本次研究对象,其中80例为恶性,74例为良性结节,分别诊断未使用和使用CAD输出图像的X线片,观察者的积分使用受试者操作特性曲线(ROC)完成分析。结果 平均ROC曲线的下面积,低年资医生从未使用CAD输出图像的0.713逐步增加至使用CAD输出图像的0.792(P<0.05);而高年资医生,使用CAD前后平均ROC曲线下面积并无显著差异(P>0.05)。CAD输出的肺结节风险值,与良恶性呈正相关,由此ROC图像下面积增强度存在显著差异。结论 通过对单发肺结节患者使用数字化X线胸片的计算机辅助诊断系统,能够更加行之有效地帮助低年资医生进行影像学诊断,完成对患者肺结节病灶良恶性的检出,在临床中能够对患者及早确诊、及时治疗,具有临床推广意义。

关键词: 数字化X线胸片, 计算机辅助诊断, 肺结节, 良恶性

Abstract: Objective To observe and analyze differentiation of benign and malignant pulmonary nodules by computer-aided diagnosis(CAD) of digital chest radiography. Methods A total of 154 patients with singular nodule treated in our hospital between January 2016 and June 2017 were recruited as subjects for the retrospective analysis. The subjects include 80 patients with malignant nodule and 74 with benign nodule. All malignant pulmonary nodules were confirmed by pathology, while all benign pulmonary nodules were confirmed by CT scans and their reading by more than 2 radiologists. All chest X-ray films were obtained from the Digital Radiography (DR) system, which were read by 5 senior radiologists and 5 junior radiologists. The chest X-ray films with and without CAD were analyzed. The analysis was performed using the Receiver Operating Characteristic (ROC) curve for observers’ scores. Results The average area under the ROC curve (AUC) increased gradually from 0.713 (without CAD) to 0.792 (with CAD) (P<0.05) in junior radiologists group. But senior radiologists group showed no significant difference (P>0.05). The risk scores of AUC output from CAD was positively correlated with the malignant nodules. Therefore, the enhancement of AUC showed significant differences. Conclusion CAD of digital chest radiography can more effectively facilitate junior radiologists diagnosing and differentiating benign and malignant pulmonary nodules in patients with singular nodule. The patients with early accurate diagnosis thus can receive timely appropriate treatment. Therefore, CAD of digital chest radiography deserves wide promotion in clinical practice.

Key words: Digital chest radiography, Computer-aided diagnosis, Pulmonary nodule, Benign or malignant