Application of dynamic enhanced-MRI characteristics and quantitative parameters in predicting lymphnode metastasis in prostate cancer before surgery

毛立华 姚伟根 鲁鹏聪 谢清 周彬

doi:10.16098/j.issn.0529-1356.2026.01.007

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Acta Anatomica Sinica ›› 2026, Vol. 57 ›› Issue (1) : 42-47. DOI: 10.16098/j.issn.0529-1356.2026.01.007

Application of dynamic enhanced-MRI characteristics and quantitative parameters in predicting lymphnode metastasis in prostate cancer before surgery

MAO Li-hua¹, YAO Wei-gen^1*, LU Peng-cong¹, XIE Qing¹, ZHOU Bin²

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Abstract

Objective To investigate the application value of dynamic enhanced magnetic resonance imaging (DCE-MRI) and quantitative parameters in the prediction of lymph node metastasis before operation for prostate cancer. MethodsRetrospective analysis of clinical data of 102 patients with prostate cancer admitted to Yangming Hospital affiliated to Ningbo University (Yuyao People’s Hospital) from January 2019 to May 2023 was reviewed. All patients received imaging examination before surgery and postoperative histopathological examination.Lymph node metastasis of patients was statistically analyzed, and patients were divided into lymph node metastasis group (LMG,15 cases) and non-lymph node metastasis group (LNMG,87 cases). The DCE-MRI features and quantitative parameters of the two groups were compared, and the relationship between them and lymph node metastasis of prostate cancer patients was analyzed by Logistic regression. Receiver operating characteristic curve (ROC) was drawn to analyze the predictive value of preoperative DCE-MRI features and quantitative parameters for lymph node metastasis. Results The tumor diameter >2cm and the percentage of blurred edges were higher in the LMG group than in the LNMG group, and the K^trans and K_ep values were higher in the LMG group than those in the LNMG group (P<0.05). Logistic regression analysis showed that tumor diameter >2cm, blurred tumor margins, large K^transvalue and large K_ep value were risk factors for lymph node metastasis in prostate cancer patients (OR>1, P<0.05). ROC curve was drawn, and the result showed that tumor diameter, tumor margin, K^trans value and K_ep value had certain predictive value for the occurrence of lymph node metastasis in prostate cancer patients, area under the curve(AUC) was 0.715, 0.740, 0.935 and 0.821 respectively(P<0.05). Conclusion The DCE-MRI characteristics and quantitative parameters of the primary lesion of prostate cancer are of great value in predicting lymph node metastasis before surgery. The comprehensive clinical evaluation of these indicators can help evaluate the status of lymph node metastasis in prostate cancer patients and provide objective imaging basis for the formulation of individualized treatment plans.

Key words

Prostate cancer / Lymph node metastasis / Imaging feature / Quantitative parameter / Dynamic enhanced magnetic resonance imaging / Human

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MAO Li-hua, YAO Wei-gen, LU Peng-cong, XIE Qing, ZHOU Bin. Application of dynamic enhanced-MRI characteristics and quantitative parameters in predicting lymphnode metastasis in prostate cancer before surgery[J]. Acta Anatomica Sinica. 2026, 57(1): 42-47 https://doi.org/10.16098/j.issn.0529-1356.2026.01.007

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