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Volume 33 Issue 3
May  2024
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CHEN X, YANG B. The Application of Radiomics in the Prognosis of Non-small Cell Lung Cancer[J]. CT Theory and Applications, 2024, 33(3): 385-390. DOI: 10.15953/j.ctta.2023.071. (in Chinese).
Citation: CHEN X, YANG B. The Application of Radiomics in the Prognosis of Non-small Cell Lung Cancer[J]. CT Theory and Applications, 2024, 33(3): 385-390. DOI: 10.15953/j.ctta.2023.071. (in Chinese).
shu

The Application of Radiomics in the Prognosis of Non-small Cell Lung Cancer

  • 1.

    Department of Medical Imaging, Jining First People’s Hospital, Jining 272002, China

  • 2.

    Department of Medical Imaging, Calmette Hospital, The First Hospital of Kunming, Kunming 650051, China

More Information
  • Received Date: March 18, 2023
  • Revised Date: August 12, 2023
  • Accepted Date: September 11, 2023
  • Available Online: October 30, 2023
    Graphical Abstract
    • Abstract

  • Lung cancer remains a leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) as the most prevalent type. Accurately predicting NSCLC prognosis is crucial for optimizing patient survival. However, traditional assessment tools often lack the comprehensive and precise capability to effectively stratify patient risk. Recent research has focused on exploring the potential of imaging histology technology for NSCLC prognosis. This article delves into the core principles of imaging histology and reviews the current state of research on its application in predicting NSCLC outcomes.

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    • References (28)
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