4.5 Article

Lymphovascular invasion quantification could improve risk prediction of lymph node metastases in patients with submucosal (T1b) esophageal adenocarcinoma

Journal

UNITED EUROPEAN GASTROENTEROLOGY JOURNAL
Volume 9, Issue 9, Pages 1066-1073

Publisher

JOHN WILEY & SONS LTD
DOI: 10.1002/ueg2.12151

Keywords

endoscopic mucosal resection; esophagectomy lLymphovascular invasion; LVI; lymph node metastases; prediction; quantification; risk assessment; submucosal esophageal adenocarcinoma; T1b adenocarcinoma

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This study aimed to quantify lymphovascular invasion (LVI) in patients with pT1b esophageal adenocarcinoma to assess its prognostic value. The risk of metastases increased with a higher number of LVI foci. A prediction model with good discriminative ability was developed but requires external validation before clinical implementation.
Aim: To quantify lymphovascular invasion (LVI) and to assess the prognostic value in patients with pT1b esophageal adenocarcinoma. Methods: In this nationwide, retrospective cohort study, patients were included if they were treated with surgery or endoscopic resection for pT1b esophageal adenocarcinoma. Primary endpoint was the presence of metastases, lymph node metastases, or distant metastases, in surgical resection specimens or during follow-up. A prediction model to identify risk factors for metastases was developed and internally validated. Results: 248 patients were included. LVI was distributed as follows: no LVI (n = 196; 79.0%), 1 LVI focus (n = 16; 6.5%), 2-3 LVI foci (n = 21; 8.5%) and >= 4 LVI foci (n = 15; 6.0%). Seventy-eight patients had metastases. The risk of metastases was increased for tumors with 2-3 LVI foci [subdistribution hazard ratio (SHR) 3.39, 95% confidence interval (CI) 2.10-5.47] and >= 4 LVI foci (SHR 3.81, 95% CI 2.37-6.10). The prediction model demonstrated a good discriminative ability (c-statistic 0.81). Conclusion: The risk of metastases is higher when more LVI foci are present. Quantification of LVI could be useful for a more precise risk estimation of metastases. This model needs to be externally validated before implementation into clinical practice.

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