Suppr超能文献

恶性实性肺结节的危险因素:一项荟萃分析。

Risk factors for malignant solid pulmonary nodules: a meta-analysis.

作者信息

Yang Yantao, Li Xuancheng, Duan Yaowu, Zhao Jie, Huang Qiubo, Zhou Chen, Li Wangcai, Ye Lianhua

机构信息

Department of Thoracic and Cardiovascular Surgery, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, No. 519 Kunzhou Road, Xishan District, Kunming City, Yunnan Province, China.

The second department of thoracic surgery, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, the Third Affiliated Hospital of Kunming Medical University, Kunming, China.

出版信息

BMC Cancer. 2025 Feb 21;25(1):312. doi: 10.1186/s12885-025-13702-2.

Abstract

BACKGROUND

Previous studies have indicated that clinical and imaging features may assist in distinguishing between benign and malignant solid lung nodules. Yet, the specific characteristics in question continue to be debated. This meta-analysis aims to identify risk factors for malignant solid lung nodules, thereby supporting informed clinical decision-making.

METHODS

A comprehensive search of databases including PubMed, Embase, Web of Science, Cochrane Library, Scopus, Wanfang, CNKI, VIP, and CBM was conducted up to October 6, 2024. Only publications in Chinese or English were considered. Data analysis was performed using Stata 16.0 software.

RESULTS

This analysis included 32 studies, comprising 7758 solid pulmonary nodules, of which 3359 were benign and 4399 were malignant. It was found that the incidence of spiculate signs in malignant solid pulmonary nodules (MSPN) was higher than in benign solid pulmonary nodules (BSPN) [OR = 3.06, 95% CI (2.35, 3.98), P < 0.05. Additionally, increases were observed in the incidences of vascular convergence[OR = 16.57, 95% CI (8.79, 31.24), P < 0.05], lobulated signs [OR = 5.17, 95% CI (3.83, 6.98)], air bronchogram sign[OR = 2.96, 95% CI (1.62, 5.41), P < 0.05], pleura traction sign [OR = 2.33, 95% CI (1.65, 3.29), P < 0.05], border blur [OR = 2.94, 95% CI (1.47, 5.85), P < 0.05], vacuole signs [OR = 5.25, 95% CI (2.66, 10.37), P < 0.05], and family history of cancer [OR = 3.85, 95% CI (2.43, 6.12), P < 0.05] compared to BSPN. Older age[OR = 1.06, 95% CI (1.04, 1.07), P < 0.05], higher prevalence in females [OR = 2.98, 95% CI (2.27, 3.92), P < 0.05], larger nodule diameters [OR = 1.25, 95% CI (1.13, 1.38), P < 0.05], and lower incidence of calcification [OR = 0.21, 95% CI (0.10, 0.48), P < 0.05] were also associated with MSPN. No significant differences were found between MSPN and BSPN regarding CEA and emphysema (all P > 0.05).

CONCLUSIONS

This meta-analysis highlights that spiculate sign, vascular convergence sign, lobulated sign, diameter, border blur, vacuole sign, age, gender, family history of cancer, pleura traction, air bronchogram sign, and calcification are significant markers for predicting malignancy in SPNs, potentially influencing clinical management. However, further well-designed, large-scale studies are needed to confirm these findings.

摘要

背景

先前的研究表明,临床和影像学特征可能有助于区分良性和恶性实性肺结节。然而,相关的具体特征仍存在争议。本荟萃分析旨在确定恶性实性肺结节的危险因素,从而为明智的临床决策提供支持。

方法

截至2024年10月6日,对包括PubMed、Embase、Web of Science、Cochrane图书馆、Scopus、万方、知网、维普和中国生物医学文献数据库在内的数据库进行了全面检索。仅纳入中文或英文出版物。使用Stata 16.0软件进行数据分析。

结果

本分析纳入了32项研究,共7758个实性肺结节,其中3359个为良性,4399个为恶性。结果发现,恶性实性肺结节(MSPN)中毛刺征的发生率高于良性实性肺结节(BSPN)[比值比(OR)=3.06,95%置信区间(CI)(2.35,3.98),P<0.05]。此外,与BSPN相比,MSPN中血管集束征[OR=16.57,95%CI(8.79,31.24),P<0.05]、分叶征[OR=5.17,95%CI(3.83,6.98)]、空气支气管征[OR=2.96,95%CI(1.62,5.41),P<0.05]、胸膜牵拉征[OR=2.33,95%CI(1.65,3.29),P<0.05]、边界模糊[OR=2.94,95%CI(1.47,5.85),P<0.05]、空泡征[OR=5.25,95%CI(2.66,10.37),P<0.05]以及癌症家族史[OR=3.85,95%CI(2.43,6.12),P<0.05]的发生率均有所增加。与BSPN相比,年龄较大[OR=1.06,95%CI(1.04,1.07),P<0.05]、女性患病率较高[OR=2.98,95%CI(2.27,3.92),P<0.05]、结节直径较大[OR=1.25,95%CI(1.13,1.38),P<0.05]以及钙化发生率较低[OR=0.21,95%CI(0.10,0.48),P<0.05]也与MSPN相关。在MSPN和BSPN之间,癌胚抗原(CEA)和肺气肿方面未发现显著差异(所有P>0.05)。

结论

本荟萃分析强调,毛刺征、血管集束征、分叶征、直径、边界模糊、空泡征、年龄、性别、癌症家族史、胸膜牵拉、空气支气管征和钙化是预测SPN恶性的重要指标,可能影响临床管理。然而,需要进一步设计良好的大规模研究来证实这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c7/11844030/d4d6654297ac/12885_2025_13702_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验