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.
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.
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.
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.
World journal of urology. 2021 Feb 01 [Epub ahead of print]
Rui Chen, Qingsong Yang, Wenjin Chen, Yue Yang, Chao Cheng, Yinghao Sun, Jianping Lu
Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China. ., Department of Imaging, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China., Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China., Department of Nuclear Medicine, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China., Department of Imaging, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China. .