Comparison of four models predicting the malignancy of pulmonary nodules: A single-center study of Korean adults.
Comparison of four models predicting the malignancy of pulmonary nodules: A single-center study of Korean adults.
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预测肺结节恶性程度的四种模型的比较：针对韩国成年人的单中心研究。
DOI：
10.1371/journal.pone.0201242
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Lee K
中科院分区：
文献类型：
--
作者：
Yang B;Jhun BW;Shin SH;Jeong BH;Um SW;Zo JI;Lee HY;Sohn I;Kim H;Kwon OJ;Lee K
比较了四种常用的预测肺结节恶性概率的临床模型。虽然其中三个模型（梅奥诊所、退伍军人协会 [VA] 和布鲁克大学）基于临床和计算机断层扫描 (CT) 特征，但一种模型 (Herder) 在正电子发射断层扫描 (PET) 特征中还额外包含 18F-氟脱氧葡萄糖 (FDG) 摄取值。本研究旨在比较这四种模型在韩国结核病流行区单个中心的人群背景下的预测能力。对2015年1月至2015年12月242例患者的242个经病理证实的结节（直径4~30 mm）进行回顾性分析。受试者工作特征曲线下面积（AUC）用于评估对恶性肿瘤的预测性能。在 242 个结节中，187 个（77.2%）为恶性，55 个（22.8%）为良性，其中结核肉芽肿是最常见的良性结节类型（23/55）。对 227 个结节（93.8%）进行了 PET 检查。 Mayo、VA 和 Brock 模型对恶性结节表现出相似的预测性能（AUC 分别为 0.6145、0.6042 和 0.6820）。 Herder模型（AUC：0.5567）的性能与Mayo（vs. Herder，p = 0.576）或VA模型（vs. Herder，p = 0.999）没有显着差异，并且三种模型在确定肺结节恶性概率方面没有差异。然而，与 Brock 模型相比，Herder 模型预测恶性肿瘤的能力明显较低（调整后的 p = 0.0132）。在我们的研究中，包括 18FDG 摄取值的 Herder 模型在预测恶性结节方面并不比其他模型表现更好，这表明将 PET/CT 数据添加到预测良性炎症结节（例如结核病）流行地区人群恶性肿瘤的模型中的效用有限。
Four commonly used clinical models for predicting the probability of malignancy in pulmonary nodules were compared. While three of the models (Mayo Clinic, Veterans Association [VA], and Brock University) are based on clinical and computed tomography (CT) characteristics, one model (Herder) additionally includes the 18F-fluorodeoxyglucose (FDG) uptake value among the positron emission tomography (PET) characteristics. This study aimed to compare the predictive power of these four models in the context of a population drawn from a single center in an endemic area for tuberculosis in Korea. A retrospective analysis of 242 pathologically confirmed nodules (4–30 mm in diameter) in 242 patients from January 2015 to December 2015 was performed. The area under the receiver operating characteristic curve (AUC) was used to assess the predictive performance with respect to malignancy. Of 242 nodules, 187 (77.2%) were malignant and 55 (22.8%) were benign, with tuberculosis granuloma being the most common type of benign nodule (23/55). PET was performed for 227 nodules (93.8%). The Mayo, VA, and Brock models showed similar predictive performance for malignant nodules (AUC: 0.6145, 0.6042 and 0.6820, respectively). The performance of the Herder model (AUC: 0.5567) was not significantly different from that of the Mayo (vs. Herder, p = 0.576) or VA models (vs. Herder, p = 0.999), and there were no differences among the three models in determining the probability of malignancy of pulmonary nodules. However, compared with the Brock model, the Herder model showed a significantly lower ability to predict malignancy (adjusted p = 0.0132). In our study, the Herder model including the 18FDG uptake value did not perform better than the other models in predicting malignant nodules, suggesting the limited utility of adding PET/CT data to models predicting malignancy in populations within endemic areas for benign inflammatory nodules, such as tuberculosis.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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DOI：
10.6004/jnccn.2012.0022
发表时间：
2012-02
期刊：
Journal of the National Comprehensive Cancer Network : JNCCN
影响因子：
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DOI：
10.1016/j.athoracsur.2010.08.054
发表时间：
2011-01
期刊：
The Annals of thoracic surgery
影响因子：
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通讯作者：
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