Open Access

Clinical and radiomic factors for predicting invasiveness in pulmonary ground‑glass opacity

  • Authors:
    • Yutao Dang
    • Ruotian Wang
    • Kun Qian
    • Jie Lu
    • Yi Zhang
  • View Affiliations

  • Published online on: September 22, 2022     https://doi.org/10.3892/etm.2022.11621
  • Article Number: 685
  • Copyright: © Dang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Patients with preinvasive or invasive pulmonary ground‑glass opacity (GGO) often face different clinical treatments and prognoses. The present study aimed to identify the invasiveness of pulmonary GGO by analysing clinical and radiomic features. Patients with pulmonary GGOs who were treated between January 2014 and February 2019 were included. Clinical features were collected, while radiomic features were extracted from computed tomography records using the three‑dimensional Slicer software. Predictors of GGO invasiveness were selected by least absolute shrinkage and selection operator logistic regression analysis, and receiver operating characteristic (ROC) curves were drawn for each prediction model. A total of 194 patients with pulmonary GGOs were included in the present study. The maximum diameter of the solid component, waveletHLL_ngtdm_Coarseness (P=0.03), waveletLHH_firstorder_Maximum (P<0.01) and waveletLLH_glrlm_LongRunEmphasis (P<0.01) were significant predictors of invasive lung GGOs. The area under the ROC curve (AUC) for the prediction models of clinical features and radiomic features was 0.755 and 0.719, respectively, whereas the AUC for the combined prediction model was 0.864 (95% CI, 0.802‑0.926). Finally, a nomogram was established for individualized prediction of invasiveness. The combination of radiomic and clinical features can enable the differentiation between preinvasive and invasive GGOs. The present results can provide some basis for the best choice of treatment in patients with lung GGOs.

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November-2022
Volume 24 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Dang Y, Wang R, Qian K, Lu J and Zhang Y: Clinical and radiomic factors for predicting invasiveness in pulmonary ground‑glass opacity. Exp Ther Med 24: 685, 2022
APA
Dang, Y., Wang, R., Qian, K., Lu, J., & Zhang, Y. (2022). Clinical and radiomic factors for predicting invasiveness in pulmonary ground‑glass opacity. Experimental and Therapeutic Medicine, 24, 685. https://doi.org/10.3892/etm.2022.11621
MLA
Dang, Y., Wang, R., Qian, K., Lu, J., Zhang, Y."Clinical and radiomic factors for predicting invasiveness in pulmonary ground‑glass opacity". Experimental and Therapeutic Medicine 24.5 (2022): 685.
Chicago
Dang, Y., Wang, R., Qian, K., Lu, J., Zhang, Y."Clinical and radiomic factors for predicting invasiveness in pulmonary ground‑glass opacity". Experimental and Therapeutic Medicine 24, no. 5 (2022): 685. https://doi.org/10.3892/etm.2022.11621