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26-12-2023 | Meningioma | Research

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

Authors: Leihao Ren, Jiawei Chen, Jiaojiao Deng, Xie Qing, Haixia Cheng, Daijun Wang, Jing Ji, Hong Chen, Tareq A. Juratli, Hiroaki Wakimoto, Ye Gong, Lingyang Hua

Published in: Journal of Neuro-Oncology | Issue 1/2024

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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Title: The development of a combined clinico-radiomics model for predicting post-operative recurrence in atypical meningiomas: a multicenter study
Authors: Leihao Ren
Jiawei Chen
Jiaojiao Deng
Xie Qing
Haixia Cheng
Daijun Wang
Jing Ji
Hong Chen
Tareq A. Juratli
Hiroaki Wakimoto
Ye Gong
Lingyang Hua
Publication date: 26-12-2023
Publisher: Springer US
Keywords: Meningioma
Meningioma
Magnetic Resonance Imaging
Magnetic Resonance Imaging
Published in: Journal of Neuro-Oncology / Issue 1/2024
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI: https://doi.org/10.1007/s11060-023-04511-3

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

Abstract

Purpose

Materials and methods

Results

Conclusions

Advances in Alzheimer's

EASD 2024

Springer Medicine

Abstract

Purpose

Materials and methods

Results

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