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A noninvasive approach based on ultrasonography and machine learning for selective cervical lymphadenectomy in thoracic esophageal cancer
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J
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DOI：10.1097/JS9.0000000000003803.png)
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Abstract
En 中文
The role of cervical lymph node dissection in esophageal squamous cell carcinoma (ESCC) surgery remains controversial. This study aims to explore a machine learning (ML) approach that integrates sonographic and clinical findings for the noninvasive evaluation of cervical lymph node involvement in patients with ESCC.
Keywords:
artificial intelligence
esophageal neoplasms
lymphatic metastasis
lymph node excision
machine learning
ultrasonography
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