1 Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China ; 2 Department of Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China ; 3 Department of Thoracic Surgery, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China ; 4 Department of Surgery, Guangzhou Institute of Respiratory Diseases, Guangzhou 510120, China ; 5 National Respiratory Disease Clinical Research Center, Guangzhou 510120, China.
J Thorac Dis. 2014 Jun;6(6):668-76. doi: 10.3978/j.issn.2072-1439.2014.06.22.
The purpose of this study was to analyze the role of the sizes of solitary pulmonary nodules (SPNs) in predicting their potential malignancies.
A total of 379 patients with pathologically confirmed SPNs were enrolled in this study. They were divided into three groups based on the SPN sizes: ≤10, 11-20, and >20 mm. The computed tomography (CT) findings of these SPNs were analyzed in these three groups to identify the malignant and benign SPNs. The risk factors were analyzed using binary logistic regression analysis.
Of these 379 patients, 120 had benign SPNs and 259 had malignant SPNs. In the ≤10 mm SPN group, air cavity density was the risk factor for malignancy, with the sensitivity, specificity, and accuracy being 77.8%, 75.0%, and 76.3%. In the 11-20 mm SPN group, age, glitches and vascular aggregation were the risk factors for malignancy, with the sensitivity, specificity, and accuracy being 91.3%, 56.9%, and 81.5%. In the >20 mm SPN group, age, lobulation, and vascular aggregation were the risk factors for malignancy, with the sensitivity, specificity, and accuracy being 88.6%, 57.1%, and 79.1%.
According to CT findings of SPNs, age, glitches, lobulation, vascular aggregation, and air cavity density are the risk factors of malignancy, whereas calcification and satellite lesions are the protective factors. During the course of development from small to large nodules, air cavity density could be firstly detected in early stages, followed by glitches and vascular aggregation. Lobulation is associated with relatively large lesions.
本研究旨在分析孤立性肺结节(SPN)大小在预测其潜在恶性肿瘤中的作用。
本研究共纳入 379 例经病理证实的 SPN 患者,根据 SPN 大小分为≤10mm、11-20mm 和>20mm 三组。分析三组 SPN 的 CT 表现,以确定良恶性 SPN。采用二项逻辑回归分析方法分析危险因素。
379 例患者中,良性 SPN120 例,恶性 SPN259 例。在≤10mm SPN 组中,空气腔密度是恶性肿瘤的危险因素,其敏感性、特异性和准确性分别为 77.8%、75.0%和 76.3%。在 11-20mm SPN 组中,年龄、毛刺和血管聚集是恶性肿瘤的危险因素,其敏感性、特异性和准确性分别为 91.3%、56.9%和 81.5%。在>20mm SPN 组中,年龄、分叶和血管聚集是恶性肿瘤的危险因素,其敏感性、特异性和准确性分别为 88.6%、57.1%和 79.1%。
根据 SPN 的 CT 表现,年龄、毛刺、分叶、血管聚集和空气腔密度是恶性肿瘤的危险因素,而钙化和卫星病灶是保护因素。在从小结节到大结节的发展过程中,首先可以检测到空气腔密度,然后是毛刺和血管聚集。分叶与较大的病变有关。