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Establishment and validation of a CT-based prediction model for the good dissolution of mild chronic subdural hematoma with atorvastatin treatment

  • Diagnostic Neuroradiology
  • Published:
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Abstract

Purpose

To develop and validate a prediction model based on imaging data for the prognosis of mild chronic subdural hematoma undergoing atorvastatin treatment.

Methods

We developed the prediction model utilizing data from patients diagnosed with CSDH between February 2019 and November 2021. Demographic characteristics, medical history, and hematoma characteristics in non-contrast computed tomography (NCCT) were extracted upon admission to the hospital. To reduce data dimensionality, a backward stepwise regression model was implemented to build a prognostic prediction model. We calculated the area under the receiver operating characteristic curve (AUC) of the prognostic prediction model by a tenfold cross-validation procedure.

Results

Maximum thickness, volume, mean density, morphology, and kurtosis of the hematoma were identified as the most significant predictors of good hematoma dissolution in mild CSDH patients undergoing atorvastatin treatment. The prediction model exhibited good discrimination, with an area under the curve (AUC) of 0.82 (95% confidence interval [CI], 0.74–0.90) and good calibration (p = 0.613). The validation analysis showed the AUC of the final prognostic prediction model is 0.80 (95% CI 0.71–0.86) and it has good prediction performance.

Conclusion

The imaging data-based prediction model has demonstrated great prediction accuracy for good hematoma dissolution in mild CSDH patients undergoing atorvastatin treatment. The study results emphasize the importance of imaging data evaluation in the management of CSDH patients.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Funding

This research was supported by the National Natural Science Foundation of China (Nos. 81671221, 81271359, and 81671380); Beijing Tianjin Hebei Basic Research Cooperation Project: Grant Number 19JCZDJC64600 (Z); the Tianjin Research Program of Application Foundation and Advanced Technology (No.19YFZCSY00650) and The Clinical Study of Tianjin Medical University (2017kylc007).

Author information

Author notes

  1. Xinjie Zhang, Zhuang Sha, and Dongyi Feng have contributed equally to this work.

  2. Junping Wang and Rongcai Jiang These authors have contributed equally to the work.

Authors and Affiliations

  1. Department of Neurosurgery, Tianjin Medical University General Hospital, Anshan Road 154, Heping District, Tianjin, 300070, China

    Xinjie Zhang, Zhuang Sha, Dongyi Feng, Chenrui Wu, Ye Tian, Dong Wang & Rongcai Jiang

  2. Department of Pediatric Neurosurgery, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

    Xinjie Zhang

  3. Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Anshan Road 154, Heping District, Tianjin, 300070, China

    Zhuang Sha, Dongyi Feng, Chenrui Wu, Ye Tian, Dong Wang & Rongcai Jiang

  4. Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Anshan Road 154, Heping District, Tianjin, 300070, China

    Junping Wang

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  1. Xinjie Zhang
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Contributions

(I) Conception and design: X. Zhang, R. Jiang, J. Wang; (II) administrative support: Z. Sha, D. Wu; (III) provision of study materials or patients: Y. Tian, D. Wang, M. Nie; (IV) collection and assembly of data: X. Zhang, J. Yuan, M. Liu, C. Gao; (V) data analysis and interpretation: X. Zhang, Z. Sha, D. Wu; (VI) manuscript writing: all authors; (VII) final approval of manuscript: all authors.

Corresponding authors

Correspondence to Junping Wang or Rongcai Jiang.

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Conflict of interest

The authors declare no competing interests.

Ethical approval

The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was approved by Ethics Committee of Tianjin Medical University General Hospital (Ethical.NO.IRB2022-WZ-157) and individual consent for this retrospective analysis was waived. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Informed consent

Individual consent for this retrospective analysis was waived.

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Zhang, X., Sha, Z., Feng, D. et al. Establishment and validation of a CT-based prediction model for the good dissolution of mild chronic subdural hematoma with atorvastatin treatment. Neuroradiology (2024). https://doi.org/10.1007/s00234-024-03340-z

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