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Chinese Journal of Clinicians(Electronic Edition) ›› 2019, Vol. 13 ›› Issue (05): 367-370. doi: 10.3877/cma.j.issn.1674-0785.2019.05.009

Special Issue:

• Clinical Research • Previous Articles     Next Articles

CT texture analysis in diagnosis of invasiveness of lung adenocarcinoma manifesting as pure ground glass nodules less than 10 mm

Haixia Mao1, Menglai Xu1, Yinbo Feng1, Hongwei Chen1, Xiangming Fang1,()   

  1. 1. Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi 214023, China
  • Received:2018-12-11 Online:2019-03-01 Published:2019-03-01
  • Contact: Xiangming Fang
  • About author:
    Corresponding author: Fang Xiangming, Email:

Abstract:

Objective

To assess the value of CT texture analysis in diagnosing the invasiveness of lung adenocarcinoma manifesting as pure ground glass nodules less than 10 mm.

Methods

The preoperative CT data of 148 patients manifesting as pure ground glass nodules less than 10 mm who underwent operation were analyzed retrospectively. Among 148 cases of pure ground glass nodules, 73 were preinvasive lesions and 75 were invasive lesions of lung adenocarcinoma. ImageJ software was used to extract the texture features of the images and then the parameters that differed significantly between the preinvasive lesions and invasive lesions were identified. Spearman correlation analysis was used for feature dimension reduction, and then independent predictors were selected out. Receiver operator characteristic curve was then used to evaluate the diagnostic efficiency of independent predictors.

Results

Among 31 parameters of texture feature obtained by CT feature extraction, 19 statistically differed between the two groups. Three independent parameters related to lung adenocarcinoma invasiveness were obtained after dimension reduction, which were angular second moment, contrast, and inverse difference moment. The areas under the curves of the three parameters for diagnosing the invasiveness of early lung adenocarcinoma were 0.715, 0.720, and 0.736, respectively.

Conclusion

CT texture analysis is helpful in the diagnosis of invasiveness of early lung adenocarcinoma.

Key words: Texture analysis, Lung neoplasms, Neoplasm invasiveness, Tomography, X-ray computed

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