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A preliminary investigation of radiomics differences between ruptured and unruptured intracranial aneurysms

  • Imaging Informatics and Artificial Intelligence
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

Prediction of intracranial aneurysm rupture is important in the management of unruptured aneurysms. The application of radiomics in predicting aneurysm rupture remained largely unexplored. This study aims to evaluate the radiomics differences between ruptured and unruptured aneurysms and explore its potential use in predicting aneurysm rupture.

Methods

One hundred twenty-two aneurysms were included in the study (93 unruptured). Morphological and radiomics features were extracted for each case. Statistical analysis was performed to identify significant features which were incorporated into prediction models constructed with a machine learning algorithm. To investigate the usefulness of radiomics features, three models were constructed and compared. The baseline model A was constructed with morphological features, while model B was constructed with addition of radiomics shape features and model C with more radiomics features. Multivariate analysis was performed for the ten most important variables in model C to identify independent risk factors. A simplified model based on independent risk factors was constructed for clinical use.

Results

Five morphological features and 89 radiomics features were significantly associated with rupture. Model A, model B, and model C achieved the area under the receiver operating characteristic curve of 0.767, 0.807, and 0.879, respectively. Model C was significantly better than model A and model B (p < 0.001). Multivariate analysis identified two radiomics features which were used to construct the simplified model showing an AUROC of 0.876.

Conclusions

Radiomics signatures were different between ruptured and unruptured aneurysms. The use of radiomics features, especially texture features, may significantly improve rupture prediction performance.

Key Points

• Significant radiomics differences exist between ruptured and unruptured intracranial aneurysms.

• Radiomics shape features can significantly improve rupture prediction performance over conventional morphology-based prediction model. The inclusion of histogram and texture radiomics features can further improve the performance.

• A simplified model with two variables achieved a similar level of performance as the more complex ones. Our prediction model can serve as a promising tool for the risk management of intracranial aneurysms.

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Abbreviations

CTA:

Computed tomography angiography

GLCM:

Gray-level co-occurrence matrix

GLDM:

Gray-level dependence matrix

GLRLM:

Gray-level run length matrix

GLSZM:

Gray-level size zone matrix

NGTDM:

Neighboring gray tone difference matrix

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Funding

Funding was provided through the National Health and Medical Research Council (NHMRC) Project (Grant ID: APP1157566).

Author information

Authors and Affiliations

  1. Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia

    Chubin Ou, Michael Morgan & Yi Qian

  2. National Key Clinical Specialty/Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Neurosurgery Institute, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China

    Chubin Ou, Chuan-Zhi Duan & Xin Zhang

  3. Monash Medical Centre, Monash University, Clayton, Victoria, Australia

    Winston Chong

Authors
  1. Chubin Ou
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  3. Chuan-Zhi Duan
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  4. Xin Zhang
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Corresponding author

Correspondence to Yi Qian.

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Guarantor

The scientific guarantor of this publication is Yi Qian who works in Macquarie University.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Approval for this study was obtained from the local Institutional Review Board of Macquarie University.

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• retrospective

• cross sectional study

• performed at one institution

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Ou, C., Chong, W., Duan, CZ. et al. A preliminary investigation of radiomics differences between ruptured and unruptured intracranial aneurysms. Eur Radiol 31, 2716–2725 (2021). https://doi.org/10.1007/s00330-020-07325-3

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  • DOI: https://doi.org/10.1007/s00330-020-07325-3

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