Perineural invasion (PNI) is a strong prognostic indicator in rectal cancer. Timely and accurate assessment of PNI status can assist in making individualized treatment plans. Histogram features can reflect the heterogeneity of tumors with better reproducibility than higher-order texture features. The zoomed DWI can provide a higher-spatial-resolution with fewer artifacts and distortions. We aim to evaluate the ability of histogram parameters derived from zoomed DWI to identify patients with positive PNI. The results demonstrated that histogram parameters could be used for assessing PNI status in RC, and skewness achieved the highest AUC.
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