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ven in vivo with dramatically enhanced sensitivity. Graphical Abstract. To investigate whether pretreatment magnetic resonance (MR)-based radiomics nomogram can individualize prediction of perineural invasion (PNI) status in rectal cancer (RC). A total of 122 RC patients with pathologically confirmed were classified as training cohort (n = 87) and test cohort (n = 35). 180 radiomics features were extracted from all lesions based on oblique axial T WI TSE images. The dimensionality reduction and feature selection in training cohort were
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