Visual Emphysema as a Category Modifier in Lung-RADS: Secondary Analysis of National Lung Screening Trial.

Sowon Jang, Jihang Kim, Seungjae Lee, Yeon Wook Kim, Junghoon Kim, Kyung Won Lee, Choon-Taek Lee
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Abstract

Objective: The Lung CT Reporting and Data System (Lung-RADS) does not consider emphysema, a lung cancer risk factor detectable on CT, when assessing nodule risk. This study aimed to evaluate the impact of incorporating emphysema into Lung-RADS on lung cancer diagnosis.

Methods: In this secondary analysis of the National Lung Screening Trial data, CT arm participants with noncalcified nodules were assigned to Lung-RADS categories, and their emphysema severity was visually dichotomized. Lung cancer rates within each Lung-RADS category were compared based on emphysema severity. A modified Lung-RADS, reclassifying nodules with significant emphysema into a higher category, was evaluated against standard Lung-RADS.

Results: A study of 9,444 participants (782 [8.3%] with lung cancer) revealed difference in lung cancer rates across Lung-RADS categories based on visual emphysema severity: category 2 (2.6% versus 4.9%; P = .007), 3 (4.9% versus 9.0%; P < .001), 4A (9.2% versus 15.5%; P = .01), 4B (16.1% versus 24.1%; P = .12), and 4X (25.3% versus 33.2%; P = .008) without or with significant emphysema. Compared with standard Lung-RADS, modified Lung-RADS demonstrated a comparable area under the curve (0.73 versus 0.74, P = .009), increased sensitivity (61.3% versus 67.6%, P < .001), decreased specificity (77.2% versus 71.4%, P < .001), and improved goodness of fit (P = .008) for predicting lung cancer.

Discussion: Lung cancer rates differ by emphysema severity within Lung-RADS categories. Using the visual emphysema severity as a category modifier in Lung-RADS increased sensitivity while achieving comparable area under the curve for lung cancer.

视肺气肿作为肺- rads的分类修饰:国家肺筛查试验的二次分析。
目的:肺CT报告和数据系统(Lung- rads)在评估结节风险时未考虑CT可检测到的肺癌危险因素肺气肿。本研究旨在评估肺气肿纳入lung - rads对肺癌诊断的影响。方法:在对国家肺筛查试验数据的二次分析中,CT组中有非钙化结节的参与者被分配到Lung- rads类别,他们的肺气肿严重程度被视觉上二分类。每个Lung- rads类别的肺癌发病率根据肺气肿严重程度进行比较。改进的Lung-RADS,将明显肺气肿结节重新分类到更高的类别,并与标准Lung-RADS进行评估。结果:一项9444名参与者(782例[8.3%]肺癌患者)的研究显示,基于视觉肺气肿严重程度,肺癌发病率在lung - rads类别之间存在差异:2类(2.6% vs. 4.9%;P = 0.007), 3 (4.9% vs. 9.0%;P < 0.001), 4A (9.2% vs. 15.5%;P = 0.01), 4B (16.1% vs. 24.1%;P = 0.12)和4X (25.3% vs. 33.2%;P = 0.008),没有或有明显的肺气肿。与标准lung - rads相比,改进的lung - rads在预测肺癌方面显示出相当的曲线下面积(AUC) (0.73 vs. 0.74, P = 0.009),增加的敏感性(61.3% vs. 67.6%, P < 0.001),降低的特异性(77.2% vs. 71.4%, P < 0.001)和改善的拟合优度(P = 0.008)。讨论:肺癌发病率因肺- rads分类中肺气肿严重程度的不同而不同。使用视觉肺气肿严重程度作为肺- rads的分类调节剂增加了敏感性,同时获得了与肺癌相当的AUC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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