Machine-Learning Based Elastography Analysis in Predicting Lymph Node Metastasis

Lung cancer ranks as the second most prevalent cancer and is the primary cause of cancer-related mortality globally, leading to the highest death rates in both genders. Cancer-related mortality is primarily caused by tumor metastases. Early cancer metastases occur in the regional lymph nodes. The accurate characterization of lymph nodes in cancer patients and patients with unexplained lymphadenopathy is fundamental for therapy planning and prognosis. The main objective of this research is to develop a lymph node metastasis analysis system based on ultrasound images and artificial intelligence techniques. This system could help doctors better assess lymph node metastasis. Moreover, due to the cost effectiveness of ultrasound imaging, routine medical ultrasound consultations could help detect malignancy at a much earlier stage.