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March 29, 2024Translational OncologyOpen Access

An advanced nomogram model using deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma

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GYGuanchao YeCZChi ZhangYZYuzhou Zhuang

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Ye et al. (2024) studied this question.

synapsesocial.com/papers/68e71ba3b6db643587695802https://doi.org/10.1016/j.tranon.2024.101922
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma2025
  2. 2A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma2024 · 7 citations
  3. 3An MRI-Based Deep Learning Radiomics Nomogram Analysis for Prediction of Postoperative Lymph Node Metastasis in Patients with Locally Advanced Cervical Cancer Receiving Neoadjuvant Therapy2024
  4. 4A comparison of machine learning methods for radiomics modeling in prediction of occult lymph node metastasis in clinical stage IA lung adenocarcinoma patients2024 · 7 citations
  5. 5Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicenter study2024 · 4 citations