Creation and assessment of a CT-radiomics framework for diagnosing lung cancer linked to cystic airspaces: a multicenter investigation - Takeaways - MDSpire

Creation and assessment of a CT-radiomics framework for diagnosing lung cancer linked to cystic airspaces: a multicenter investigation

  • By

  • Jiangshan Ai

  • Hengyan Li

  • Man Wang

  • Lianzheng Zhao

  • Yuanyong Wang

  • Shiwen Ai

  • December 9, 2025

  • 0 min

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  • 1

    Lung cancer associated with cystic airspaces (LCCA) is often misdiagnosed due to its benign appearance in early stages.

  • 2

    A multicenter study aimed to develop a radiomics model for differentiating LCCA from benign lesions using preoperative CT images.

  • 3

    The study included patients who underwent surgical resection for lung lesions, adhering to ethical guidelines and using de-identified data.

  • 4

    Radiomics feature extraction involved analyzing tumor and peritumor regions, resulting in 1888 features for each case.

  • 5

    The research highlights the need for accurate, non-invasive diagnostic methods for LCCA, leveraging advanced radiomics technology.

Original Source(s)

Creation and assessment of a CT-radiomics framework for diagnosing lung cancer linked to cystic airspaces: a multicenter investigation

  • by Jiangshan Ai, Hengyan Li, Man Wang, Lianzheng Zhao, Yuanyong Wang, Shiwen Ai

  • December 9, 2025

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