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Computer-aided diagnosis of gastrointestinal stromal tumors: a radiomics method on endoscopic ultrasound image

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Abstract

Purpose

The purpose of our study is to propose a preoperative computer-aided diagnosis system based on a radiomics method to differentiate gastrointestinal stromal tumors (GISTs) of the higher-risk group (HRG) from those of the lower-risk group (LRG) on endoscopic ultrasound (EUS) images.

Materials and method

Gastro-EUS (G-EUS) images of four different risk level GISTs were collected from 19 hospitals. The datasheet included 168 case HRG GISTs and 747 case LRG GISTs. A radiomics method with image segmentation, feature extraction, feature selection and classification was developed. Here 439 radiomics features were firstly extracted, and then, the least absolute shrinkage selection operator (lasso) model with a tenfold cross-validation and 31 bootstraps was used to reduce the dimension of feature sets. Finally, random forest was applied to establish the classification model.

Results

The proposed model differentiated 32 case HRG GISTs from 149 case LRG GISTs. Result for the testing set achieved the area under the receiver operating characteristic curve of 0.839, the accuracy of 0.823, the sensitivity of 0.813 and the specificity of 0.826.

Conclusion

The model could increase preoperative diagnostic accuracy and provide a valuable reference for the doctors.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grants 61871135 and 81830058) and the Science and Technology Commission of Shanghai Municipality (Grant 18511102904).

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Authors and Affiliations

  1. Department of Electronic Engineering, Fudan University, Shanghai, China

    Xinyi Li, Yi Guo & Yuanyuan Wang

  2. Department of Gastroenterology, Changhai Hospital, Shanghai, China

    Fei Jiang & Zhendong Jin

Authors
  1. Xinyi Li
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  2. Fei Jiang
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  3. Yi Guo
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  4. Zhendong Jin
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  5. Yuanyuan Wang
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Corresponding authors

Correspondence to Yi Guo or Yuanyuan Wang.

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Conflict of interest

We have no conflict of interest to declare.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the Declaration of Helsinki. For retrospective study, formal consent is not required. Informed consent was obtained from all individual participants included in the study. This study has been approved by the Ethics Committee of the Changhai Hospital.

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Li, X., Jiang, F., Guo, Y. et al. Computer-aided diagnosis of gastrointestinal stromal tumors: a radiomics method on endoscopic ultrasound image. Int J CARS 14, 1635–1645 (2019). https://doi.org/10.1007/s11548-019-01993-3

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  • DOI: https://doi.org/10.1007/s11548-019-01993-3

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