Interobserver variability in lymph node evaluation with endoscopic ultrasonography in cholangiocarcinoma

胆管癌内镜超声淋巴结评估中的观察者间差异

阅读:1

Abstract

BACKGROUND AND STUDY AIMS: Accurate preoperative lymph node (LN) assessment is crucial for patients with intrahepatic cholangiocarcinoma (iCCA) and perihilar cholangiocarcinoma (pCCA) because presence of LN metastases significantly reduces survival rates and can contraindicate surgical resection. Endoscopic ultrasound (EUS) provides a reliable method for LN assessment with the advantage of enabling tissue acquisition for pathological confirmation. This study aimed to assess interobserver agreement among endosonographers in evaluating LN characteristics in patients with iCCA and pCCA. METHODS: A cross-sectional survey study was conducted among 24 endosonographers. Participants reviewed 42 EUS images from iCCA and pCCA patients, classifying LNs based on six characteristics (demarcation, shape, echogenicity, homogeneity, suspiciousness, and need to retrieve tissue). Interobserver agreement was determined using Light's kappa statistics. Accuracy, sensitivity, and specificity in identifying malignant LNs were calculated. RESULTS: Overall kappa values indicated moderate to fair agreement on LN characteristics, with Kappa values of 0.24 for demarcation, 0.45 for shape, 0.38 for echogenicity, 0.52 for homogeneity, and 0.36 for suspiciousness. Overall accuracy of endosonographers in correctly identifying malignant LNs was 62%, with individual accuracy ranging from 44 to 75%. Sensitivity was 60% (range: 29%-90%) and specificity was 64% (range: 28%-89%). CONCLUSIONS: Endosonographic assessment of LN morphology and characterization demonstrates considerable variability among endosonographers. Thus, there is a clear need for standardization in preoperative LN evaluation, including establishing consensus about when to perform tissue acquisition, based on objective criteria such as short-axis diameter. Further research is required to refine and optimize these guidelines.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。