申太忠,魏友平,马风荣,张顺,王淑荔.基于深度学习的检测算法对不同肺叶肺结节的检出效果[J].中国医学影像技术,2019,35(12):1780~1783
基于深度学习的检测算法对不同肺叶肺结节的检出效果
Effect of detection algorithm based on deep learning for pulmonary nodules in different lung lobes
投稿时间:2019-07-07  修订日期:2019-09-03
DOI:10.13929/j.1003-3289.201907053
中文关键词:  计算机辅助检测  深度学习  多发肺结节
英文关键词:computer-aided detection  deep learning  multiple pulmonary nodules
基金项目:
作者单位E-mail
申太忠 航空总医院医学影像科, 北京 100012 962743005@qq.com 
魏友平 航空总医院医学影像科, 北京 100012  
马风荣 航空总医院医学影像科, 北京 100012  
张顺 航空总医院医学影像科, 北京 100012  
王淑荔 航空总医院医学影像科, 北京 100012  
摘要点击次数: 1352
全文下载次数: 696
中文摘要:
      目的 基于深度学习(DL)的检测算法对不同位置肺结节的检出效果。方法 对肺部CT扫描中符合入组条件的493例病例进行肺结节标注。利用基于DL的肺结节检测算法得到检出结果,并将之与医师标注结节进行匹配;分别统计各处检出结节与医师标注结节的匹配度等指标。最后由医师对未匹配上的算法检出框进行审核,确定算法检出框类别分布。结果 基于DL的肺结节检测算法对于4.1~30.0 mm肺结节与医师标注结节的匹配度分别为左肺上叶96.05%(73/76)、左肺下叶96.91%(94/97)、右肺上叶96.94%(95/98)、右肺中叶98.59%(70/71)、右肺下叶95.95%(71/74)及叶间胸膜96.30%(26/27),其间匹配度差异均无统计学意义(P均>0.05)。未能匹配的算法检出框中,经审核确定50.92%(747/1467)为结节,其位置分布差异有统计学意义(P均<0.05)。结论 基于DL的肺结节检测算法对于肺结节的检出效果不受其所在位置的影响;算法多检出的结节的位置分布符合临床认知。
英文摘要:
      Objective To explore the effect of pulmonary nodules in different lung lobes detection algorithm based on deep learning (DL). Methods Totally 493 eligible patients with pulmonary nodules on chest CT were included, and pulmonary nodules were labeled. The results of pulmonary nodules detection algorithm based on DL were compared with those of radiologist's labelling, and the match ratios in every lung lobe were counted, respectively. The radiologist finally re-evaluated the nodules that might be detected by algorithm but were missed during the initial inspection. Results The match ratio of 4.1 -30.0 mm nodules of DL algorithm was 96.05% (73/76), 96.91% (94/97), 96.94% (95/98), 98.59% (70/71), 95.95% (71/74) and 96.30% (26/27) for pulmonary nodules in left upper lobe, left lower lobe, right upper lobe, right middle lobe, right lower lobe and interlobar pleura, respectively (all P>0.05). After re-evaluation, 50.92% (747/1467) of the no matched nodules detected by algorithm were reassigned as true positives. There were statistical differences among the missed nodules on different lobes (all P<0.05). Conclusion The performance of pulmonary nodule detection algorithm based DL is not affected by nodule locations in terms of pulmonary lobes. The distribution of missed nodules meets the general consensus of medical profession.
查看全文  查看/发表评论  下载PDF阅读器