Han Aiping, Liu Yanqiu, Cai Lingxian, Xie Jing, Hu Shouzhang
Department of Radiology, Affiliated Geriatric Hospital of Wuhan University of Science and Technology, Wuhan, China.
School of Public Health, Department of Medical, Wuhan University of Science and Technology, Wuhan, China.
Front Med (Lausanne). 2024 Nov 6;11:1457307. doi: 10.3389/fmed.2024.1457307. eCollection 2024.
This meta-analysis aimed to evaluate the diagnostic efficacy of dual-energy computed tomography (DECT) in detecting cervical lymph node metastasis among papillary thyroid cancer (PTC) patients.
A comprehensive search across PubMed, Embase, and Web of Science databases was conducted to identify pertinent publications up to May 2024. This search focused on studies examining the diagnostic accuracy of DECT in detecting cervical lymph node metastases in PTC patients. We employed a bivariate random-effects model to calculate pooled sensitivity and specificity of DECT. The degree of heterogeneity in the studies was quantified using the statistic. Furthermore, the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was utilized to evaluate the methodological quality of the included studies.
This meta-analysis encompassed 14 articles, collectively involving 1,615 patients. The pooled sensitivity, specificity, and AUC for DECT in detecting cervical lymph node metastases in PTC patients were 0.81 (95% CI: 0.76-0.85), 0.86 (95% CI: 0.80-0.91), and 0.89 (95% CI: 0.86-0.92), respectively. According to Fagan's nomogram, for DECT, with a pre-test probability of 50%, the post-test probability was calculated as 85% for a positive result and 18% for a negative result. Deeks' funnel plot asymmetry test showed no significant publication bias was observed for DECT ( = 0.28).
Our meta-analysis indicates that DECT demonstrates superior sensitivity and specificity in cervical lymph node metastasis among PTC patients. To corroborate these findings and evaluate their clinical applicability, further prospective studies are necessary.
本荟萃分析旨在评估双能计算机断层扫描(DECT)在检测甲状腺乳头状癌(PTC)患者颈部淋巴结转移中的诊断效能。
对PubMed、Embase和Web of Science数据库进行全面检索,以识别截至2024年5月的相关出版物。该检索集中于研究DECT在检测PTC患者颈部淋巴结转移中的诊断准确性的研究。我们采用双变量随机效应模型计算DECT的合并敏感性和特异性。使用统计量对研究中的异质性程度进行量化。此外,利用诊断准确性研究质量评估-2(QUADAS-2)工具评估纳入研究的方法学质量。
本荟萃分析纳入14篇文章,共涉及1615例患者。DECT在检测PTC患者颈部淋巴结转移中的合并敏感性、特异性和AUC分别为0.81(95%CI:0.76-0.85)、0.86(95%CI:0.80-0.91)和0.89(95%CI:0.86-0.92)。根据费根列线图,对于DECT,预测试概率为50%时,阳性结果的测试后概率计算为85%,阴性结果为18%。迪克斯漏斗图不对称性检验显示,DECT未观察到显著的发表偏倚(=0.28)。
我们的荟萃分析表明,DECT在PTC患者颈部淋巴结转移中显示出较高的敏感性和特异性。为证实这些发现并评估其临床适用性,有必要进行进一步的前瞻性研究。