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A nomogram model based on MRI and radiomic features developed and validated for the evaluation of lymph node metastasis in patients with rectal cancer

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Abstract

Purpose

The aim of this study was to develop and validate a nomogram model to evaluate lymph node metastasis (LNM) in patients with rectal cancer (RC).

Methods

A total of 162 patients with RC were included in the study. The MRI reported model, the Radscore model, and the Complex model were constructed using the logistics regression (LR) algorithm. The DeLong test and decision curve analysis (DCA) were used to compare the prediction performance and clinical utility of these models. The nomogram model was constructed to visualize the prediction results of the best model. Model performance was evaluated in the training and validation groups, and the calibration curve and Hosmer–Lemeshow goodness of fit test were used to evaluate the calibration.

Result

All three models constructed by the LR algorithm were good at identifying LNM. The DeLong test and the DCA results showed that the Complex model outperformed the MRI reported model and the Radscore model in relation to their predictive performance and clinical utility. The nomogram of the Complex model had an area under the curve (AUC) of 0.902 (95% confidence interval (CI) 0.848–0.957) in the training group and an AUC of 0.891 (95% CI 0.799–0.983) in the validation group. Meanwhile, the nomogram showed good calibration.

Conclusion

The nomogram model constructed based on T2WI radiomics and MRI reported had good diagnostic efficacies for LNM in patients with RC, and provided a new auxiliary method for accurate and individualized clinical management.

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Funding

The authors did not receive support from any organization for the submitted work.

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Author notes

  1. Yexin Su and Hongyue Zhao contribute equally to the experiments.

Authors and Affiliations

  1. Department of Magnetic Resonance, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China

    Yexin Su & Pengfei Liu

  2. Department of Nuclear Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China

    Hongyue Zhao, Linhan Zhang, Yuying Jiao, Peng Xu, Zhehao Lyu & Peng Fu

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  1. Yexin Su
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Contributions

All authors contributed to the study conception and design. YS and HZ provided the overall design of the experiments and contributed equally to the experiments. Material preparation, data collection and analysis were performed by LZ, YJ, PX, and ZL. The first draft of the manuscript was written by YS and HZ, and all authors commented on previous versions of the manuscript. PF and PL supervised the study. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Peng Fu.

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Conflict of interest

The authors have no competing interests to declare that are relevant to the content of this article.

Ethical approval

This retrospective chart review study involving human participants was in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the First Affiliated Hospital of Harbin Medical University (No. 2021JS44). Due to the retrospective and non-interventional nature of the study, the written informed consent was waived by The First Affiliated Hospital of Harbin Medical University Review Board.

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The paper has been preprinted at the Research Square. The specific information and link are followed: Yexin Su, Hongyue Zhao, Linhan Zhang et al. A Nomogram Model Developed and Validated for The Evaluation of Lymph Node Metastasis in Patients with Rectal Cancer, 14 February 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1297512/v1].

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Su, Y., Zhao, H., Liu, P. et al. A nomogram model based on MRI and radiomic features developed and validated for the evaluation of lymph node metastasis in patients with rectal cancer. Abdom Radiol 47, 4103–4114 (2022). https://doi.org/10.1007/s00261-022-03672-5

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