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Whole-body MRI-based multivariate prediction model in the assessment of bone metastasis in prostate cancer

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World Journal of Urology Aims and scope Submit manuscript

Abstract

Purpose

A whole-body MRI (WB-MRI) including T1, short time inversion recovery (STIR), diffusion-weighted imaging (high b value) was applied in our center for the detection of bone metastasis in prostate cancer (PCa) patients. We intended to assess the diagnostic performance of this examination.

Methods

547 cases of PCa patients with higher risk of metastasis were referred to bone scintigraphy with SPECT/CT (BS + SPECT/CT) and whole-body MRI in Shanghai Changhai Hospital. Best valuable comparator (BVC) was applied for the final diagnosis of metastasis. A panel of radiologists interpreted the results. Decision curve analysis (DCA) and receiver operating characteristic curve (ROC) analysis were applied.

Results

Bone metastasis was diagnosed in 110 cases, and others were non-metastatic by BVC. The area under the receiver operating characteristic curve (AUC) was higher in WB-MRI (0.778) than BS + SPECT/CT (0.634, p < 0.001). A WB-MRI-based prediction model was established with AUC of 0.877. Internal validation showed that the predictive model was well-calibrated. The DCA demonstrated that the model had higher net benefit than the BS + SPECT/CT-based model.

Conclusion

WB-MRI is more effective in identifying metastasis in PCa patients than BS + SPECT/CT. The prediction model combined WB-MRI with clinical parameters may be a promising approach to the assessment of metastasis.

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Funding

This study is supported by National Natural Science Foundation Youth Project (Rui Chen, 81702514).

Author information

Author notes

  1. Rui Chen, Qingsong Yang and Wenjin Chen contributed equally to this work and should be considered as co-first authors.

Authors and Affiliations

  1. Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China

    Rui Chen, Wenjin Chen, Yue Yang & Yinghao Sun

  2. Department of Imaging, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China

    Qingsong Yang & Jianping Lu

  3. Department of Nuclear Medicine, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China

    Chao Cheng

Authors
  1. Rui Chen
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  2. Qingsong Yang
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  3. Wenjin Chen
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  4. Yue Yang
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  5. Chao Cheng
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  6. Yinghao Sun
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  7. Jianping Lu
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Contributions

All authors had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: JL, RC, QY. Acquisition of data: RC, QY, WC. Analysis, interpretation of data, and drafting of the manuscript: WC, RC. Critical revision of the manuscript for important intellectual content: all authors. Obtained funding: RC.

Corresponding authors

Correspondence to Rui Chen or Jianping Lu.

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Conflict of interest

No conflicts of interest, financial or otherwise, are declared by the authors.

Ethics approval

Ethics approval was obtained from the Ethics Review Board of Changhai Hospital.

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Informed consent was obtained from all patients included in the study.

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Chen, R., Yang, Q., Chen, W. et al. Whole-body MRI-based multivariate prediction model in the assessment of bone metastasis in prostate cancer. World J Urol 39, 2937–2943 (2021). https://doi.org/10.1007/s00345-020-03571-8

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  • DOI: https://doi.org/10.1007/s00345-020-03571-8

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