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The development of a combined clinico-radiomics model for predicting post-operative recurrence in atypical meningiomas: a multicenter study

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Abstract

Purpose

Atypical meningiomas could manifest early recurrence after surgery and even adjuvant radiotherapy. We aimed to construct a clinico-radiomics model to predict post-operative recurrence of atypical meningiomas based on clinicopathological and radiomics features.

Materials and methods

The study cohort was comprised of 224 patients from two neurosurgical centers. 164 patients from center I were divided to the training cohort for model development and the testing cohort for internal validation. 60 patients from center II were used for external validation. Clinicopathological characteristics, radiological semantic, and radiomics features were collected. A radiomic signature was comprised of four radiomics features. A clinico-radiomics model combining the radiomics signature and clinical characteristics was constructed to predict the recurrence of atypical meningiomas.

Results

1920 radiomics features were extracted from the T1 Contrast and T2-FLAIR sequences of patients in center I. The radiomics signature was able to differentiate post-operative patients into low-risk and high-risk groups based on tumor recurrence (P < 0.001). A clinic-radiomics model was established by combining age, extent of resection, Ki-67 index, surgical history and the radiomics signature for recurrence prediction in atypical meningiomas. The model achieved a good prediction performance with the integrated AUC of 0.858 (0.802−0.915), 0.781 (0.649−0.912) and 0.840 (0.747−0.933) in the training, internal validation and external validation cohort, respectively.

Conclusions

The present study established a radiomics signature and a clinico-radiomics model with a favorable performance in predicting tumor recurrence for atypical meningiomas.

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Data availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledements

We would like to express our gratitude to the Professor Ye gong, Doctor Lingyang Hua and Jiaojiao Deng for their financial support (National Natural Science Foundation of China: 82072788 to YG, 82203390 to LYH, 82203204 to JJD) and insightful discussions throughout the course of this study.

Funding

This work was supported by grants from the National Natural Science Foundation of China (82072788 to YG, 82203390 to LYH, 82203204 to JJD).

Author information

Author notes

  1. Leihao Ren, Jiawei Chen, Jiaojiao Deng have contributed equally to this work.

  2. Lingyang Hua and Ye Gong have share senior authors.

Authors and Affiliations

  1. Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China

    Leihao Ren, Jiawei Chen, Jiaojiao Deng, Xie Qing, Daijun Wang, Ye Gong & Lingyang Hua

  2. Institute of Neurosurgery, Fudan University, Shanghai, China

    Leihao Ren, Jiawei Chen, Jiaojiao Deng, Xie Qing, Daijun Wang, Ye Gong & Lingyang Hua

  3. Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China

    Leihao Ren, Jiawei Chen, Jiaojiao Deng, Xie Qing, Daijun Wang, Ye Gong & Lingyang Hua

  4. Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China

    Haixia Cheng & Hong Chen

  5. Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

    Jing Ji

  6. Department of Neurosurgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany

    Tareq A. Juratli

  7. Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA

    Hiroaki Wakimoto

  8. Department of Critical Care Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China

    Ye Gong

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  1. Leihao Ren
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Contributions

LR, JC, JD, XQ, HC, DW, JJ, HC, TAJ, HW, YG, LH contributed to the study conception and design. Material preparation, data collection and analysis were performed by [LR], [JC] and [LH]. The first draft of the manuscript was written by [LR] and all authors commented on previous versions of the manuscript. LR, JC, JD, XQ, HC, DW, JJ, HC, TAJ, HW, YG, LH read and approved the final manuscript.

Corresponding authors

Correspondence to Ye Gong or Lingyang Hua.

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The authors have no relevant financial or non-financial interests to disclose.

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This clinical study was approved by the Human Subjects Institutional Review Board at Huashan Hospital, Fudan University.

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The consent process was omitted due to the retrospective nature of our study.

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The authors affirm that human research participants provided informed consent for publication of the images in Fig. 1.

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Ren, L., Chen, J., Deng, J. et al. The development of a combined clinico-radiomics model for predicting post-operative recurrence in atypical meningiomas: a multicenter study. J Neurooncol 166, 59–71 (2024). https://doi.org/10.1007/s11060-023-04511-3

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