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CT features and histogram analysis of non-contrast images for differentiating malignant and benign mediastinal lymph nodes in Non-Small Cell Lung Cancer (NSCLC)

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  • Pakorn Prakaikietikul
  • Yutthaphan Wannasopha
  • Juntima Euathrongchit
  • Apichat Tantraworasin

Abstract

Objective: To evaluate the diagnostic value of CT features and histogram analysis in distinguishing between malignant and benign mediastinal lymph nodes in patients with non-small cell lung cancer (NSCLC). Method: This retrospective study analyzed non-contrast chest CT images from 40 NSCLC patients, comprising 80 pathology-proven mediastinal lymph nodes (46 benign, 34 metastasis). Morphologic features, including size, shape, margins, and internal composition, were independently assessed by two radiologists. Histogram analysis was conducted using the Synapse Vincent system with six parameters: mean attenuation, mean positive pixel (MPP), standard deviation (SD), skewness, kurtosis, and entropy. Statistical analysis included the Mann-Whitney test for continuous data, Fisher’s exact test for categorical data, and receiver-operating characteristic (ROC) curve analysis to assess diagnostic accuracy, with statistical significance set at p

Suggested Citation

  • Pakorn Prakaikietikul & Yutthaphan Wannasopha & Juntima Euathrongchit & Apichat Tantraworasin, 2025. "CT features and histogram analysis of non-contrast images for differentiating malignant and benign mediastinal lymph nodes in Non-Small Cell Lung Cancer (NSCLC)," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-14, April.
    • Handle: RePEc:plo:pone00:0321921
    DOI: 10.1371/journal.pone.0321921
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