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Whole-orbit-based multiparametric assessment of disease activity of thyroid eye disease on Dixon MRI

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Abstract

Purpose

This study aimed to explore the diagnostic value of whole-orbit-based multiparametric assessment on Dixon MRI for the evaluation of the thyroid eye disease (TED) activity.

Methods

The retrospective study enrolled patients diagnosed as TED and obtained their axial and coronal Dixon MRI scans. Multiparameters were assessed, including water fraction (WF), fat fraction (FF) of extraocular muscles (EOMs), orbital fat (OF), and lacrimal gland (LG). The thickness of OF and herniation of LG were also measured. Univariable and multivariable logistic regression was applied to construct prediction models based on single or multiple structures. Receiver operating characteristic (ROC) curve analysis was also implemented.

Results

Univariable logistic analysis revealed significant differences in water fraction (WF) of the superior rectus (P = 0.018), fat fraction (FF) of the medial rectus (P = 0.029), WF of OF (P = 0.004), and herniation of LG (P = 0.012) between the active and inactive TED phases. Multivariable logistic analysis and corresponding receiver operating characteristic curve (ROC) analysis of each structure attained the area under the curve (AUC) values of 0.774, 0.771, and 0.729 for EOMs, OF, and LG, respectively, while the combination of the four imaging parameters generated a final AUC of 0.909.

Conclusions

Dixon MRI may be used for fine multiparametric assessment of multiple orbital structures. The whole-orbit-based model improves the diagnostic performance of TED activity evaluation.

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Data availability

Available on request.

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Acknowledgements

We thank Ms. Qingwen Tang, Ms. Qi Zheng, and Mr. Zhenhua Zhang for their assistance in data collation. We also thank Shanghai Medoo Tech Company for their technical suggestions

Funding

This study was funded by the National Natural Science Foundation of China (82071003 and 82271122), the Science and Technology Commission of Shanghai (20DZ22708), the Shanghai Key Clinical Specialty, Shanghai Eye Disease Research Center (2022ZZ01003), the Clinical Acceleration Program of Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine (JYLJ202202), Clinical Research Program of 9th People’s Hospital, Shanghai Jiao Tong University School of Medicine (JYLJ202120).

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Author notes

  1. Duojin Xia and Haiyang Zhang have contributed equally to this work.

Authors and Affiliations

  1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Duojin Xia & Huifang Zhou

  2. Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and ocularoncology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China

    Duojin Xia, Haiyang Zhang, Hui Wang, Yinwei Li, Jing Sun, Xuefei Song & Huifang Zhou

  3. Department of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China

    Mengda Jiang & Yan Tang

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  1. Duojin Xia
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Contributions

Conceptualization: Huifang Z and Xuefei S. Formal analysis: Duojin X., Hui W. and Haiyang Z. Resources: Yinwei L. and Jing S. Data curation: Mengda J. and Yan.T Writing—original draft preparation: Duojin X . Writing—review and editing: Haiyang Z and Duojin X. Supervision: Xuefei S. Project administration: Huifang Z and Xuefei S. Funding acquisition Huifang Z. All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Xuefei Song or Huifang Zhou.

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The authors declare no competing interests.

Ethical approval

This study was approved by the Institutional Review Board (SH9H-2021-T246-2), and the informed consent requirement was waived. It was in compliance with the tenets of the Declaration of Helsinki for clinical research.

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Xia, D., Zhang, H., Wang, H. et al. Whole-orbit-based multiparametric assessment of disease activity of thyroid eye disease on Dixon MRI. Int Ophthalmol 44, 213 (2024). https://doi.org/10.1007/s10792-024-03138-1

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