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Article Synopsis
  • The study aimed to evaluate how well the Node Reporting and Data System (Node-RADS) works alongside CT radiomics in diagnosing nonenlarged regional lymph nodes in gastric cancer patients.
  • Researchers analyzed preoperative CT images from 376 patients, extracting various radiomics features to create a predictive model using machine learning, which showed improved accuracy compared to models without radiomics data.
  • The findings indicated that combining radiomics with Node-RADS significantly enhanced diagnostic performance, especially in lymph nodes measuring 4-7.9 mm, although the combination did not provide significant improvement for those in the 8-9.9 mm range.
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