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DOI: 10.1055/a-2577-5449
Interobserver variability in lymph node evaluation with endoscopic ultrasonography in cholangiocarcinoma

Background: Accurate preoperative lymph node (LN) assessment is crucial for patients with intrahepatic cholangiocarcinoma (iCCA) and perihilar cholangiocarcinoma (pCCA), as the 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 the interobserver agreement among endosonographers in evaluating LN characteristics in patients with iCCA and pCCA. Materials and 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: The 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. The 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: The 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 on when to perform tissue acquisition, based on objective criteria such as short-axis diameter. Further research is required to refine and optimize these guidelines.
Publikationsverlauf
Eingereicht: 25. November 2024
Angenommen nach Revision: 07. April 2025
Accepted Manuscript online:
08. April 2025
© . The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).
Georg Thieme Verlag KG
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