Esophageal Cancer

Autor: Robert J. Cerfolio, Carolyn Apperson-Hansen, M. Pera, Toni Lerut, Chen Lq, André Duranceau, James D. Luketich, Jarmo A. Salo, Chadrick E. Denlinger, Eugene H. Blackstone, Simon Law, Hemant Ishwaran, Thomas J. Watson, Paul H. Schipper, Walter J. Scott, Gail Darling, Wayne L. Hofstetter, Thomas W. Rice, Mark S. Allen, Valerie W. Rusch, Kenneth A. Kesler
Rok vydání: 2017
Předmět:
Zdroj: Annals of Surgery. 265:122-129
ISSN: 0003-4932
Popis: OBJECTIVES: To identify the associations of lymph node metastases (pN+), number of positive nodes, and pN subclassification with cancer, treatment, patient, geographic, and institutional variables, and to recommend extent of lymphadenectomy needed to accurately detect pN+ for esophageal cancer. SUMMARY BACKGROUND DATA: Limited data and traditional analytic techniques have precluded identifying intricate associations of pN+ with other cancer, treatment, and patient characteristics. METHODS: Data on 5806 esophagectomy patients from the Worldwide Esophageal Cancer Collaboration were analyzed by Random Forest machine learning techniques. RESULTS: pN+, number of positive nodes, and pN subclassification were associated with increasing depth of cancer invasion (pT), increasing cancer length, decreasing cancer differentiation (G), and more regional lymph nodes resected. Lymphadenectomy necessary to accurately detect pN+ is 60 for shorter, well-differentiated cancers (
Databáze: OpenAIRE