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We further developed a nomogram with a C-index of 0.925 (95%CI,0.895-0.948) in the training set and 0.842 (95%CI,0.777-0.907) in the validation set. The calibration curves and decision curve analysis (DCA) also demonstrated the reliability and accuracy of the clinical prediction model. The present study developed a visual nomogram to accurately identify TC patients with high risk of BM, which might help to further provide more individualized clinical decision guidelines. The present study developed a visual nomogram to accurately identif
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