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漏诊肺结节的原因判定以及阅片者培训与教育的影响:使用结节插入软件的模拟研究

Cause determination of missed lung nodules and impact of reader training and education: Simulation study with nodule insertion software.

作者信息

Digumarthy Subba R, Gullo Roberto Lo, Levesque Marie-Helene, Sayegh Karl, Rao Sishir, Raymond Scott B, Otrakji Alexi, Kalra Mannudeep K

机构信息

Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.

Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, School of Medicine, University of Milano, Milan, Italy.

出版信息

J Cancer Res Ther. 2020 Jul-Sep;16(4):780-787. doi: 10.4103/jcrt.JCRT_312_17.

Abstract

BACKGROUND

There are "blind spots" on chest computed tomography (CT) where pulmonary nodules can easily be overlooked. The number of missed pulmonary nodules can be minimized by instituting a training program with particular focus on the depiction of nodules at blind spots.

PURPOSE

The purpose of this study was to assess the variation in lung nodule detection in chest CT based on location, attenuation characteristics, and reader experience.

MATERIALS AND METHODS

We selected 18 noncalcified lung nodules (6-8 mm) suspicious of primary and metastatic lung cancer with solid (n = 7), pure ground-glass (6), and part-solid ground-glass (5) attenuation from 12 chest CT scans. These nodules were randomly inserted in chest CT of 34 patients in lung hila, 1 costochondral junction, branching vessels, paramediastinal lungs, lung apices, juxta-diaphragm, and middle and outer thirds of the lungs. Two residents and two chest imaging clinical fellows evaluated the CT images twice, over a 4-month interval. Before the second reading session, the readers were trained and made aware of the potential blind spots. Chi-square test was used to assess statistical significance.

RESULTS

Pretraining session: Fellows detected significantly more part-solid ground-glass nodules compared to residents (P = 0.008). A substantial number of nodules adjacent to branching vessels and posterior mediastinum were missed. Posttraining session: There was a significant increase in detectability independent of attenuation and location of nodules for all readers (P < 0.0008).

CONCLUSION

Dedicated chest CT training improves detection of lung nodules, especially the part-solid ground-glass nodules. Detection of nodules adjacent to branching vessels and the posterior mediastinal lungs is difficult even for fellowship-trained radiologists.

摘要

背景

胸部计算机断层扫描(CT)存在“盲点”,肺结节很容易在这些区域被漏诊。通过开展一项特别关注盲点处结节显示的培训计划,可将漏诊肺结节的数量降至最低。

目的

本研究的目的是评估基于位置、衰减特征和阅片者经验的胸部CT肺结节检测差异。

材料与方法

我们从12例胸部CT扫描中选取了18个怀疑为原发性和转移性肺癌的非钙化肺结节(6 - 8毫米),其密度分别为实性(n = 7)、纯磨玻璃样(6个)和部分实性磨玻璃样(5个)。这些结节被随机插入到34例患者胸部CT的肺门、1个肋软骨关节、分支血管、纵隔旁肺组织、肺尖、膈附近以及肺的中外1/3处。两名住院医师和两名胸部影像临床专科医师在4个月的时间间隔内对CT图像进行了两次评估。在第二次阅片前,阅片者接受了培训并了解了潜在的盲点。采用卡方检验评估统计学意义。

结果

培训前阶段:专科医师检测出的部分实性磨玻璃样结节明显多于住院医师(P = 0.008)。大量位于分支血管和后纵隔附近的结节被漏诊。培训后阶段:所有阅片者的结节可检测性均显著提高,且与结节的密度和位置无关(P < 0.0008)。

结论

专门的胸部CT培训可提高肺结节的检测能力,尤其是部分实性磨玻璃样结节。即使是接受过专科培训的放射科医师,检测位于分支血管和后纵隔旁肺组织附近的结节也很困难。

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