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773-0.857] vs. 0.437 [95% CI 0.335-0.539]). The PCa-GGNet scored higher (kappa value 0.761) than NB (kappa value 0.289). Our model significantly reduced the upgrading rate by 27.9% (P less then 0.001) and downgrading rate by 6.4% (P = 0.029). Conclusions DRL using MRI can be applied to the prediction of patient-level RP GGs to reduce upgrading and downgrading from biopsy, potentially improving the clinical benefits of prostate cancer oncologic controls.Rationale Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disease charac
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