Development of a multi-modal learning-based lymph node metastasis prediction model for lung cancer.
Jeongmin ParkSeonhwa KimJune Hyuck LimChul-Ho KimSeulgi YouJeong-Seok ChoiJun Hyeok LimJae Won ChangDongil ParkMyung-Won LeeByung-Joo LeeSung-Chan ShinYong-Il CheonIl-Seok ParkSeung Hoon HanDaemyung YounHye Sang LeeJaesung HeoPublished in: Clinical imaging (2024)
Integrating CT images and clinical information improved the performance of the lymph node metastasis prediction models in patients with NSCLC. The proposed 3D multi-modal lymph node prediction model can serve as an auxiliary tool for evaluating lymph node metastasis in patients with non-pretreated NSCLC, aiding in patient screening and treatment planning.
Keyphrases
- lymph node metastasis
- lymph node
- small cell lung cancer
- squamous cell carcinoma
- papillary thyroid
- advanced non small cell lung cancer
- computed tomography
- case report
- neoadjuvant chemotherapy
- brain metastases
- image quality
- healthcare
- magnetic resonance imaging
- sentinel lymph node
- dual energy
- optical coherence tomography
- positron emission tomography
- epidermal growth factor receptor
- pet ct
- locally advanced