Lymph node metastasis and predictive model in esophageal carcinoma

doi:10.3877/cma.j.issn.1674-6899.2020.03.013

Abstract

Abstract:

The esophagus has a rich lymphatic network which covers a wide drainage area including more than 20 groups of lymph nodes in the neck, chest, and abdomen. Lymph node metastasis is an important descriptor to determine the stage of esophageal cancer, and correlates independently with the poor prognosis of patients. Surgery is still one of the most important treatments for esophageal cancer. However, there is still no unified consensus on the patterns of lymph nodes metastasis and extent of lymphadenectomy for esophageal cancer. Selective three-field lymphadenectomy seems to be a good choice and is consistent with the trend of personalized medicine. However, due to low sensitivity and specificity in imaging diagnosis of cervical metastatic lymph nodes, the efficacy of selective three-field lymphadenectomy still needs to be verified by high-quality clinical evidence. Big data-based mathematical models and radiomics have been applied to the clinical decisions on the diagnosis, treatment and prognosis of several diseases, and further research on these methods will contribute to esophageal cancer-related diagnosis and treatment.

Key words: Esophageal cancer, Lymph node metastasis, Predictive model

Boshi Fan, Weian Song, Taiqian Gong. Lymph node metastasis and predictive model in esophageal carcinoma[J]. Chinese Journal of Laparoscopic Surgery(Electronic Edition), 2020, 13(03): 188-192.

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