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前哨淋巴结取样对复发高危子宫内膜癌的诊断准确性及临床影响:一项荟萃分析

Diagnostic Accuracy and Clinical Impact of Sentinel Lymph Node Sampling in Endometrial Cancer at High Risk of Recurrence: A Meta-Analysis.

作者信息

Lecointre Lise, Lodi Massimo, Faller Émilie, Boisramé Thomas, Agnus Vincent, Baldauf Jean-Jacques, Gallix Benoît, Akladios Chérif

机构信息

Department of Gynecologic Surgery, Hôpitaux Universitaires de Strasbourg, 67200 Strasbourg, France.

I-Cube UMR 7357-Laboratoire des Sciences de L'ingénieur, de L'informatique et de L'imagerie, Université de Strasbourg, 67081 Strasbourg, France.

出版信息

J Clin Med. 2020 Nov 28;9(12):3874. doi: 10.3390/jcm9123874.

DOI:10.3390/jcm9123874
PMID:33260511
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7761304/
Abstract

PURPOSE

To assess the value of sentinel lymph node (SLN) sampling in high risk endometrial cancer according to the ESMO-ESGO-ESTRO classification.

METHODS

We performed a comprehensive search on PubMed for clinical trials evaluating SLN sampling in patients with high risk endometrial cancer: stage I endometrioid, grade 3, with at least 50% myometrial invasion, regardless of lymphovascular space invasion status; or stage II; or node-negative stage III endometrioid, no residual disease; or non-endometrioid (serous or clear cell or undifferentiated carcinoma, or carcinosarcoma). All patients underwent SLN sampling followed by pelvic with or without para-aortic lymphadenectomy.

RESULTS

We included 17 original studies concerning 1322 women. Mean detection rates were 89% for unilateral and 68% for bilateral. Pooled sensitivity was 88.5% (95%CI: 81.2-93.2%), negative predictive value was 96.0% (95%CI: 93.1-97.7%), and false negative rate was 11.5% (95%CI: 6.8; 18.8%). We noted heterogeneity in SLN techniques between studies, concerning the tracer and its detection, the injection site, the number of injections, and the surgical approach. Finally, we found a correlation between the number of patients included and the SLN sampling performances.

DISCUSSION

This meta-analysis estimated the SLN sampling performances in high risk endometrial cancer patients. Data from the literature show the feasibility, the safety, the limits, and the impact on surgical de-escalation of this technique. In conclusion, our study supports the hypothesis that SLN sampling could be a valuable technique to diagnose lymph node involvement for patients with high risk endometrial cancer in replacement of conventional lymphadenectomy. Consequently, randomized clinical trials are necessary to confirm this hypothesis.

摘要

目的

根据欧洲肿瘤内科学会(ESMO)-欧洲妇科肿瘤学会(ESGO)-欧洲放射肿瘤学会(ESTRO)分类评估前哨淋巴结(SLN)取样在高危子宫内膜癌中的价值。

方法

我们在PubMed上进行了全面检索,以查找评估高危子宫内膜癌患者SLN取样的临床试验:Ⅰ期子宫内膜样癌,3级,肌层浸润至少50%,无论有无脉管间隙浸润;或Ⅱ期;或淋巴结阴性的Ⅲ期子宫内膜样癌,无残留病灶;或非子宫内膜样癌(浆液性或透明细胞或未分化癌,或癌肉瘤)。所有患者均接受SLN取样,随后进行盆腔淋巴结清扫,可联合或不联合腹主动脉旁淋巴结清扫。

结果

我们纳入了17项涉及1322名女性的原始研究。单侧SLN的平均检出率为89%,双侧为68%。合并敏感度为88.5%(95%置信区间:81.2 - 93.2%),阴性预测值为96.0%(95%置信区间:93.1 - 97.7%),假阴性率为11.5%(95%置信区间:6.8;18.8%)。我们注意到各研究之间在SLN技术方面存在异质性,涉及示踪剂及其检测、注射部位、注射次数和手术方式。最后,我们发现纳入患者数量与SLN取样性能之间存在相关性。

讨论

这项荟萃分析评估了高危子宫内膜癌患者的SLN取样性能。文献数据显示了该技术的可行性、安全性、局限性以及对手术降期的影响。总之,我们的研究支持这样一种假设,即SLN取样可能是一种有价值的技术,可用于诊断高危子宫内膜癌患者的淋巴结受累情况,以替代传统的淋巴结清扫术。因此,有必要进行随机临床试验来证实这一假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/86a0fe20164a/jcm-09-03874-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/0d2108a3a04c/jcm-09-03874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/4617024ef9b0/jcm-09-03874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/640517325884/jcm-09-03874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/c94008984b5a/jcm-09-03874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/86a0fe20164a/jcm-09-03874-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/0d2108a3a04c/jcm-09-03874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/4617024ef9b0/jcm-09-03874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/640517325884/jcm-09-03874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/c94008984b5a/jcm-09-03874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade1/7761304/86a0fe20164a/jcm-09-03874-g005.jpg

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