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在全国性肺癌筛查计划中,使用计算机评估对低剂量胸部 CT 的解读存在变异性:个体机构前瞻性阅读与回顾性中心阅读的比较。

Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading.

机构信息

Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.

Cancer Research Institute, Seoul National University, Seoul, South Korea.

出版信息

Eur Radiol. 2021 May;31(5):2845-2855. doi: 10.1007/s00330-020-07424-1. Epub 2020 Oct 30.

DOI:10.1007/s00330-020-07424-1
PMID:33123794
Abstract

OBJECTIVES

To evaluate the degree of variability in computer-assisted interpretation of low-dose chest CTs (LDCTs) among radiologists in a nationwide lung cancer screening (LCS) program, through comparison with a retrospective interpretation from a central laboratory.

MATERIALS AND METHODS

Consecutive baseline LDCTs (n = 3353) from a nationwide LCS program were investigated. In the institutional reading, 20 radiologists in 14 institutions interpreted LDCTs using computer-aided detection and semi-automated segmentation systems for lung nodules. In the retrospective central review, a single radiologist re-interpreted all LDCTs using the same system, recording any non-calcified nodules ≥ 3 mm without arbitrary rejection of semi-automated segmentation to minimize the intervention of radiologist's discretion. Positive results (requiring additional follow-up LDCTs or diagnostic procedures) were initially classified by the lung CT screening reporting and data system (Lung-RADS) during the interpretation, while the classifications based on the volumetric criteria from the Dutch-Belgian lung cancer screening trial (NELSON) were retrospectively applied. Variabilities in positive rates were assessed with coefficients of variation (CVs).

RESULTS

In the institutional reading, positive rates by the Lung-RADS ranged from 7.5 to 43.3%, and those by the NELSON ranged from 11.4 to 45.0% across radiologists. The central review exhibited higher positive rates by Lung-RADS (20.0% vs. 27.3%; p < .001) and the NELSON (23.1% vs. 37.0%; p < .001), and lower inter-institution variability (CV, 0.30 vs. 0.12, p = .003 by Lung-RADS; CV, 0.25 vs. 0.12, p = .014 by the NELSON) compared to the institutional reading.

CONCLUSION

Considerable inter-institution variability in the interpretation of LCS results is caused by different usage of the computer-assisted system.

KEY POINTS

• Considerable variability existed in the interpretation of screening LDCT among radiologists partly from the different usage of the computerized system. • A retrospective reading of low-dose chest CTs in the central laboratory resulted in reduced variability but an increased positive rate.

摘要

目的

通过与中心实验室的回顾性解读进行比较,评估全国性肺癌筛查(LCS)项目中放射科医生对低剂量 CT(LDCT)的计算机辅助解读的变异性程度。

材料与方法

对一项全国性 LCS 项目中的连续基线 LDCT(n=3353)进行了研究。在机构阅读中,14 家机构的 20 名放射科医生使用计算机辅助检测和半自动化结节分割系统解读 LDCT。在回顾性中心审查中,一名放射科医生使用相同的系统重新解读所有 LDCT,记录任何非钙化结节≥3mm,不任意拒绝半自动化分割,以尽量减少放射科医生判断的干预。阳性结果(需要进一步进行 LDCT 随访或诊断程序)在解读过程中最初按照肺 CT 筛查报告和数据系统(Lung-RADS)进行分类,而基于荷兰-比利时肺癌筛查试验(NELSON)体积标准的分类则是回顾性应用的。通过变异系数(CV)评估阳性率的变异性。

结果

在机构阅读中,Lung-RADS 的阳性率范围为 7.5%至 43.3%,NELSON 的阳性率范围为 11.4%至 45.0%,不同放射科医生之间存在差异。中心审查结果显示,Lung-RADS(20.0%对 27.3%;p<0.001)和 NELSON(23.1%对 37.0%;p<0.001)的阳性率更高,机构间的变异性更低(Lung-RADS 的变异系数为 0.30 对 0.12,p=0.003;NELSON 的变异系数为 0.25 对 0.12,p=0.014)。

结论

在 LCS 结果的解读中,由于计算机辅助系统的使用不同,存在相当大的机构间变异性。

关键点

  • 放射科医生在解读筛查性 LDCT 时存在相当大的差异,部分原因是计算机化系统的使用不同。

  • 中心实验室对低剂量胸部 CT 的回顾性解读降低了变异性,但增加了阳性率。

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本文引用的文献

1
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Anticancer Res. 2005 Jan-Feb;25(1B):483-8.
比较 HANSE LCS 试验中用于自动检测、量化和分类肺结节的人工智能软件工具。
Sci Rep. 2024 Nov 13;14(1):27809. doi: 10.1038/s41598-024-78568-z.
4
Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies.软件使用人工智能进行 CT 肺癌筛查中的结节和癌症检测:检测准确性研究的系统评价。
Thorax. 2024 Oct 16;79(11):1040-1049. doi: 10.1136/thorax-2024-221662.
5
See Lung Cancer with an AI.借助人工智能观察肺癌。
Cancers (Basel). 2023 Feb 19;15(4):1321. doi: 10.3390/cancers15041321.
6
Single CT Appointment for Double Lung and Colorectal Cancer Screening: Is the Time Ripe?单次CT检查用于双肺和结直肠癌筛查:时机成熟了吗?
Diagnostics (Basel). 2022 Sep 27;12(10):2326. doi: 10.3390/diagnostics12102326.
7
Determination of the optimum definition of growth evaluation for indeterminate pulmonary nodules detected in lung cancer screening.肺癌筛查中检测到的不定型肺结节生长评估的最佳定义的确定。
PLoS One. 2022 Sep 15;17(9):e0274583. doi: 10.1371/journal.pone.0274583. eCollection 2022.
8
Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology.低剂量 CT 肺癌筛查:意大利胸放射学会立场文件。
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9
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Ann Am Thorac Soc. 2022 Mar;19(3):433-441. doi: 10.1513/AnnalsATS.202011-1413OC.