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Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis

  • Diagnostic Imaging in Oncology
  • Published:
La radiologia medica Aims and scope Submit manuscript

Abstract

Purpose

We aimed to systematically assess the methodological quality and clinical potential application of published magnetic resonance imaging (MRI)-based radiomics studies about endometrial cancer (EC).

Methods

Studies of EC radiomics analyses published between 1 January 2000 and 19 March 2023 were extracted, and their methodological quality was evaluated using the radiomics quality score (RQS) and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). Pairwise correlation analyses and separate meta-analyses of studies exploring differential diagnoses and risk prediction were also performed.

Results

Forty-five studies involving 3 aims were included. The mean RQS was 13.77 (range: 9–22.5); publication bias was observed in the areas of ‘index test’ and ‘flow and timing’. A high RQS was significantly associated with therapy selection-aimed studies, low QUADAS-2 risk, recent publication year, and high-performance metrics. Raw data from 6 differential diagnosis and 34 risk prediction models were subjected to meta-analysis, revealing diagnostic odds ratios of 23.81 (95% confidence interval [CI] 8.48–66.83) and 18.23 (95% CI 13.68–24.29), respectively.

Conclusion

The methodological quality of radiomics studies involving patients with EC is unsatisfactory. However, MRI-based radiomics analyses showed promising utility in terms of differential diagnosis and risk prediction.

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Abbreviations

AUC:

Area under the curve

CI:

Confidence interval

DOR:

Diagnostic odds ratio

EC:

Endometrial cancer

MRI:

Magnetic resonance imaging

NLR:

Negative likelihood ratio

PLR:

Positive likelihood ratio

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-analysis

QUADAS-2:

Quality of diagnostic accuracy studies-2

RQS:

Radiomics quality score

SROC:

Summary receiver operating characteristic

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Funding

This project was supported by grants from Natural Science Foundation of China (Grant No. 82271886), National High Level Hospital Clinical Research Funding (Grant No. 2022-PUMCH-A-004), and National High Level Hospital Clinical Research Funding (Grant No. 2022-PUMCH-A-109).

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  1. Meng-Lin Huang and **g Ren have contributed equally to this work.

Authors and Affiliations

  1. Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuai Fu Yuan 1#, Dongcheng Dist., Bei**g, 100730, People’s Republic of China

    Meng-Lin Huang, **g Ren, Zheng-Yu **, **n-Yu Liu, Yong-Lan He & Hua-Dan Xue

  2. Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Obstetric and Gynecologic Diseases, Shuai Fu Yuan 1#, Dongcheng Dist., Bei**g, 100730, People’s Republic of China

    Yuan Li

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  1. Meng-Lin Huang
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Contributions

M-LH, JR, Y-LH, YL, and Z-YJ contributed to the conception and design of the study. X-YL and H-DX contributed to the acquisition of data. M-LH, JR, and Y-LH contributed to the data analysis and interpretation, statistical analyses. M-LH, JR, Y-LH, and YL participated in manuscript preparation, editing, and revision. All authors have read and approved the final manuscript.

Corresponding authors

Correspondence to Yuan Li, Yong-Lan He or Hua-Dan Xue.

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This is a meta-analysis of previously published data. The Peking Union Medical College Hospital Research Ethics Committee has confirmed that no ethical approval is required”.

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Huang, ML., Ren, J., **, ZY. et al. Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis. Radiol med 129, 439–456 (2024). https://doi.org/10.1007/s11547-024-01765-3

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