Application of network analysis and association rule mining for visualizing the lymph node metastasis patterns in esophageal squamous cell carcinoma

Application of network analysis and association rule mining for visualizing the lymph node metastasis patterns in esophageal squamous cell carcinoma

Abstract Understanding the patterns of lymph node (LN) metastases in esophageal squamous cell carcinoma (ESCC) is important for accurate staging and defining the extent of lymphadenectomy. This study clarified the patterns of LN metastases in ESCC using data mining techniques. 1181 patients with LN...

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Bibliographic Details
Main Authors: Sangwon Baek, Kyunga Kim, Seong Yong Park, Yeong Jeong Jeon, Junghee Lee, Jong Ho Cho, Hong Kwan Kim, Yong Soo Choi, Jae Il Zo, Young Mog Shim
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Esophageal neoplasms
Oncologic outcome
Esophageal squamous cell cancer
Lymph node metastases
Network analysis
Association rule mining
Online Access:https://doi.org/10.1038/s41598-025-89340-2
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https://doi.org/10.1038/s41598-025-89340-2

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