Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Department of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, Jilin, 130041, China.
Clin Transl Oncol. 2024 Dec;26(12):3252-3263. doi: 10.1007/s12094-024-03556-8. Epub 2024 Jun 13.
This study aims to assess the diagnostic utility of circulating tumor cells (CTCs) in conjunction with low-dose computed tomography (LDCT) for differentiating between benign and malignant pulmonary nodules and to substantiate the foundation for their integration into clinical practice.
A systematic literature review was performed independently by two researchers utilizing databases including PubMed, Web of Science, The Cochrane Library, Embase, and Medline, to collate studies up to September 15, 2023, that investigated the application of CTCs in diagnosing pulmonary nodules. A meta-analysis was executed employing Stata 15.0 and Revman 5.4 to calculate the pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC). Additionally, trial sequential analysis was conducted using dedicated TSA software.
The selection criteria identified 16 studies, encompassing a total of 3409 patients. The meta-analysis revealed that CTCs achieved a pooled sensitivity of 0.84 (95% CI 0.80 to 0.87), specificity of 0.80 (95% CI 0.73 to 0.86), PLR of 4.23 (95% CI 3.12 to 5.72), NLR of 0.20 (95% CI 0.16 to 0.25), DOR of 20.92 (95% CI 13.52 to 32.36), and AUC of 0.89 (95% CI 0.86 to 0.93).
Circulating tumor cells demonstrate substantial diagnostic accuracy in distinguishing benign from malignant pulmonary nodules. The incorporation of CTCs into the diagnostic protocol can significantly augment the diagnostic efficacy of LDCT in screening for malignant lung diseases.
本研究旨在评估循环肿瘤细胞(CTC)与低剂量计算机断层扫描(LDCT)联合应用于鉴别肺良恶性结节的诊断效能,并为其纳入临床实践提供依据。
两名研究人员独立进行系统文献回顾,使用包括 PubMed、Web of Science、Cochrane 图书馆、Embase 和 Medline 在内的数据库,检索截至 2023 年 9 月 15 日评估 CTC 应用于诊断肺结节的研究。采用 Stata 15.0 和 Revman 5.4 进行荟萃分析,计算合并敏感性、特异性、阳性和阴性似然比(PLR 和 NLR)、诊断优势比(DOR)和受试者工作特征曲线下面积(AUC)。此外,采用专用 TSA 软件进行试验序贯分析。
根据入选标准共纳入 16 项研究,共计 3409 例患者。荟萃分析显示,CTC 的合并敏感性为 0.84(95%CI 0.80 至 0.87),特异性为 0.80(95%CI 0.73 至 0.86),PLR 为 4.23(95%CI 3.12 至 5.72), NLR 为 0.20(95%CI 0.16 至 0.25),DOR 为 20.92(95%CI 13.52 至 32.36),AUC 为 0.89(95%CI 0.86 至 0.93)。
循环肿瘤细胞在鉴别肺良恶性结节方面具有较高的诊断准确性。将 CTC 纳入诊断方案可显著提高 LDCT 在恶性肺部疾病筛查中的诊断效能。