Predicting Systemic Disease in Patients With Esophageal Cancer After Esophagectomy

2008302 citationsJournal Article

Authors

Christian G. Peyré · University of Southern California

Jeffrey A. Hagen · Cornell University

Steven R. DeMeester · University of Southern California

J. Jan B. van Lanschot · Cleveland Clinic Lerner College of Medicine

Arnulf H. Hölscher · University of Cologne

Simon Law · University of Hong Kong

Alberto Ruol

Abstract

This study shows that the number of involved lymph nodes can be used to predict the likelihood of systemic disease in patients with esophageal cancer. The probability of systemic disease exceeds 50% when 3 or more nodes are involved and approaches 100% when the number of involved nodes is 8 or more. Additional therapy is warranted in these patients with a high probability of systemic disease.

Topics & Keywords

Esophageal Cancer Research and Treatment Esophageal and GI Pathology Gastric Cancer Management and Outcomes

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Annals of Surgery

Volume 248, Issue 6, pp. 979-985

DOI: 10.1097/sla.0b013e3181904f3c

Field-Weighted Citation Impact: 22.04