Abstract:Objective To investigate the value of magnetic resonance imaging (MRI) combined with serum microRNA-221-221 (miR-221) detection in the diagnosis of prostate cancer.Methods The clinical data of 103 patients with suspected prostate cancer admitted to the hospital from May 2019 to January 2023 were retrospectively analyzed, and the pathological results of prostate biopsy were set as the gold standard. All patients underwent magnetic resonance diffusion-weighted imaging (MRI-DWI), dynamic contrast-enhanced magnetic resonance imaging (MRI-DCE) and serum miR-221 detection. The value of MRI parameters and the relative expression of miR-221 in the diagnosis of prostate cancer was analyzed.Results The pathological results of prostate biopsy showed that 73 of 103 patients with suspected prostate cancer were finally diagnosed with prostate cancer. The apparent diffusion coefficient (ADC) of patients with prostate cancer was lower than that of patients without prostate cancer (P < 0.05). The volume transfer constant (Ktrans) of patients with prostate cancer was higher than that of patients without prostate cancer (P < 0.05). There were no significant differences in the rate constant (Kep) and extracellular volume fraction (Ve) between patients with and without prostate cancer (P > 0.05). The relative expression of miR-221 in patients with prostate cancer was higher than that in patients without prostate cancer (P < 0.05). Receiver operating characteristic (ROC) curve analysis exhibited that sensitivities of ADC, Ktrans, miR-221 and their combination for diagnosing prostate cancer were 72.60% (95% CI: 0.607, 0.821), 69.86% (95% CI: 0.578, 0.798), 73.97% (95% CI: 0.622, 0.832), and 82.19% (95% CI: 0.711, 0.898), with the specificities being 80.00% (95% CI: 0.609, 0.916), 73.33% (95% CI: 0.538, 0.870), 70.00% (95% CI: 0.504, 0.846), and 86.67% (95% CI: 0.684, 0.956), and the areas under ROC curves (AUCs) being 0.756 (95% CI: 0.651, 0.860), 0.741 (95% CI: 0.633, 0.848), 0.739 (95% CI: 0.631, 0.846), and 0.907 (95% CI: 0.842, 0.972).Conclusions The combination of ADC, Ktrans, and miR-221 displays high predictive efficacy in the diagnosis of prostate cancer, and their combination may provide more accurate and reliable quantitative parameters for diagnosing prostate cancer.