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Exploring the association of glioma tumor residuals from incongruent [18F]FET PET/MR imaging with tumor proliferation using a multiparametric MRI radiomics nomogram

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An Editorial to this article was published on 13 November 2023

Abstract

Purpose

The study aimed to using multiparametric MRI radiomics to predict glioma tumor residuals (TRFET over MR) derived from incongruent [18F]fluoroethyl-L-tyrosine ([18F]FET) PET/MR imaging.

Methods

One hundred ten patients with gliomas who underwent [18F]FET PET/MR scanning were retrospectively analyzed. The TRFET over MR was identified by the discrepancy-PET that the extent of resection (EOR) based on MRI subtracted the biological tumor volume on PET images. The MRI parameters and radiomics features were extracted based on EOR and selected by the least absolute shrinkage and selection operator to construct radiomics score (Rad-score). The correlation network analysis of all features was analyzed by Spearman’s correlation tests. The methods for evaluating the clinical usefulness consisted of the receiver operating characteristic curve, the calibration curve, and decision curve analysis.

Results

The Rad-score of the patients with the TRFET over MR was significantly higher than those with the non TRFET over MR (p < 0.001). The Rad-score was significantly correlated with the discrepancy-PET (r = 0.72, p < 0.001), Ki-67 level (r = 0.76, p < 0.001), and epidermal growth factor receptor (EGFR) of gliomas (r = 0.75, p < 0.001), respectively. Moreover, there was a difference of the correlation network analysis between the TRPET over MR group and non TRFET over MR group. The nomogram combing Rad-score and clinical features had the greatest performance in predicting TRFET over MR (AUC = 0.90/0.87, training/testing). There was a significant difference in prognosis (median OS, 17 m vs. 43 m) between patients with TRFET over MR and non TRFET over MR based on nomogram prediction (p < 0.001).

Conclusion

The nomogram based on MRI radiomics would predict gliomas tumor residuals caused by the absence of 18F-PET PET examination and adjust EOR to improve prognosis.

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Data availability

Dates of this research are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was supported by Hongwei Yang, Lei Ma, Dongmei Shuai. This native English writing embellishment was supported by Dr. Hui Liao. We would like to thank the OnekeyAI platform for supporting the Python technology.

Funding

This study has received funding from the National Key Research and Development Program of China (No.2022YFC2406900), and the Huizhi Ascent Project of Xuanwu Hospital (HZ2021ZCLJ005).

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Author notes

  1. Xiaoran Li and Ye Cheng contributed equally to this work and should be considered co-first authors.

Authors and Affiliations

  1. Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China

    Xiaoran Li, Xin Han, Bixiao Cui, Jing Li, Hongwei Yang & Jie Lu

  2. Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China

    Xiaoran Li, Xin Han, Bixiao Cui, Jing Li, Hongwei Yang & Jie Lu

  3. Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China

    Ye Cheng, Geng Xu, Qingtang Lin, Xinru Xiao & Jie Tang

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Contributions

Conception and design: Xiaoran Li, Ye Cheng, Jie Lu

Data collection and aggregation: Xiaoran Li, Ye Cheng, Xin Han, Bixiao Cui, Jing Li, Xinru Xiao, Hongwei Yang, Geng Xu, Qingtang Lin, Jie Tang

Development of the methodology: Xiaoran Li, Ye Cheng

The interpretation and analysis of data: Xiaoran Li, Ye Cheng, Jie Tang, Jie Lu

Manuscript writing and editing: all authors

Final approval of the manuscript: all authors

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Correspondence to Jie Tang or Jie Lu.

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This is a retrospective observational study. Both hospital and university Ethics Committees have confirmed that no ethical approval is required.

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For this type of retrospective study about PET/MR imaging, formal consent was not required.

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Jie Tang and Jie Lu are co-corresponding authors.

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Li, X., Cheng, Y., Han, X. et al. Exploring the association of glioma tumor residuals from incongruent [18F]FET PET/MR imaging with tumor proliferation using a multiparametric MRI radiomics nomogram. Eur J Nucl Med Mol Imaging 51, 779–796 (2024). https://doi.org/10.1007/s00259-023-06468-x

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