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基于放射组学预测胆道癌患者淋巴结转移的荟萃分析。

A meta-analysis of based radiomics for predicting lymph node metastasis in patients with biliary tract cancers.

作者信息

Ma Yuhu, Lin Yanyan, Lu Jiyuan, He Yulong, Shi Qianling, Liu Haoran, Li Jianlong, Zhang Baoping, Zhang Jinduo, Zhang Yong, Yue Ping, Meng Wenbo, Li Xun

机构信息

The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.

Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China.

出版信息

Front Surg. 2023 Jan 6;9:1045295. doi: 10.3389/fsurg.2022.1045295. eCollection 2022.

Abstract

BACKGROUND

To assess the predictive value of radiomics for preoperative lymph node metastasis (LMN) in patients with biliary tract cancers (BTCs).

METHODS

PubMed, Embase, Web of Science, Cochrane Library databases, and four Chinese databases [VIP, CNKI, Wanfang, and China Biomedical Literature Database (CBM)] were searched to identify relevant studies published up to February 10, 2022. Two authors independently screened all publications for eligibility. We included studies that used histopathology as a gold standard and radiomics to evaluate the diagnostic efficacy of LNM in BTCs patients. The quality of the literature was evaluated using the Radiomics Quality Score (RQS) and the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). The diagnostic odds ratio (DOR), sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and area under the receiver operating characteristic curve (AUC) were calculated to assess the predictive validity of radiomics for lymph node status in patients with BTCs. Spearman correlation coefficients were calculated, and Meta-regression and subgroup analyses were performed to assess the causes of heterogeneity.

RESULTS

Seven studies were included, with 977 patients. The pooled sensitivity, specificity and AUC were 83% [95% confidence interval (CI): 77%, 88%], 78% (95% CI: 71, 84) and 0.88 (95% CI: 0.85, 0.90), respectively. The substantive heterogeneity was observed among the included studies (  = 80%, 95%CI: 58,100). There was no threshold effect seen. Meta-regression showed that tumor site contributed to the heterogeneity of specificity analysis ( < 0.05). Imaging methods, number of patients, combined clinical factors, tumor site, model, population, and published year all played a role in the heterogeneity of the sensitivity analysis ( < 0.05). Subgroup analysis revealed that magnetic resonance imaging (MRI) based radiomics had a higher pooled sensitivity than contrast-computed tomography (CT), whereas the result for pooled specificity was the opposite.

CONCLUSION

Our meta-analysis showed that radiomics provided a high level of prognostic value for preoperative LMN in BTCs patients.

摘要

背景

评估影像组学对胆道癌(BTC)患者术前淋巴结转移(LMN)的预测价值。

方法

检索了PubMed、Embase、Web of Science、Cochrane图书馆数据库以及四个中文数据库[维普、中国知网、万方和中国生物医学文献数据库(CBM)],以识别截至2022年2月10日发表的相关研究。两位作者独立筛选所有出版物以确定其是否符合要求。我们纳入了以组织病理学为金标准且使用影像组学评估BTC患者LNM诊断效能的研究。使用影像组学质量评分(RQS)和诊断准确性研究质量评估2(QUADAS-2)对文献质量进行评估。计算诊断比值比(DOR)、敏感性、特异性、阳性似然比(PLR)、阴性似然比(NLR)以及受试者操作特征曲线下面积(AUC),以评估影像组学对BTC患者淋巴结状态的预测效度。计算Spearman相关系数,并进行Meta回归和亚组分析以评估异质性的原因。

结果

纳入7项研究,共977例患者。合并敏感性、特异性和AUC分别为83%[95%置信区间(CI):77%,88%]、78%(95%CI:71,84)和0.88(95%CI:0.85,0.90)。在纳入的研究中观察到实质性异质性(I² = 80%,95%CI:58,100)。未发现阈值效应。Meta回归显示肿瘤部位导致特异性分析的异质性(P < 0.05)。成像方法、患者数量、联合临床因素、肿瘤部位、模型、人群和发表年份均在敏感性分析的异质性中起作用(P < 0.05)。亚组分析显示,基于磁共振成像(MRI)的影像组学合并敏感性高于对比计算机断层扫描(CT),而合并特异性结果则相反。

结论

我们的Meta分析表明,影像组学为BTC患者术前LMN提供了较高水平的预后价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2a0/9852536/f436bdbd57b4/fsurg-09-1045295-g001.jpg

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