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A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell Carcinoma

  • Image & Signal Processing
  • Published:
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Abstract

The purpose of the study was to compare the texture based discriminative performances between non-contrast enhanced computed tomography (NECT) and contrast-enhanced computed tomography (CECT) images in differentiating lung adenocarcinoma (ADC) from squamous cell carcinoma (SCC) patients. Eighty-seven lung cancer subjects were enrolled in the study, including pathologically proved 47 ADC patients and 40 SCC patients, and 261 texture features were extracted from the manually delineated region of interests on CECT and NECT images respectively. Fisher score was then used to select the effective discriminative texture features between groups, and the selected texture features were adopted to differentiate ADC from SCC using Support Vector Machine and Leave-one-out cross-validation. Both NECT and CECT images could achieve the same best classification accuracy of 95.4%, and most of the informative features were from the gray-level co-occurrence matrix. In addition, CECT images were found with enhanced texture features compared with NECT images, and combining texture features of CECT and NECT images together could further improve the prediction accuracy. Besides the texture feature, the tumor location information also contributed to the differential diagnosis between ADC and SCC.

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Funding

This work was supported by National Natural Science Foundation of China (grant numbers 81220108007), Beijing Natural Science Foundation (No. 4122018). Bin Jing was supported by Beijing Natural Science Foundation (No. 7174282).

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Author notes

  1. Han Liu and Bin Jing contributed equally to this work.

Authors and Affiliations

  1. School of Biomedical Engineering, Capital Medical University, Fengtai District, Beijing, 100069, China

    Han Liu, Bin Jing, Zhuqing Long, Xiao Mo & Haiyun Li

  2. Department of Radiology, the General Hospital of Chinese People’s Armed Police Forces, Beijing, 100039, China

    Wenjuan Han

Authors
  1. Han Liu
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  2. Bin Jing
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  3. Wenjuan Han
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  4. Zhuqing Long
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Correspondence to Haiyun Li.

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Liu, H., Jing, B., Han, W. et al. A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell Carcinoma. J Med Syst 43, 59 (2019). https://doi.org/10.1007/s10916-019-1175-y

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