前列腺癌术前动态增强磁共振成像特征及定量参数在淋巴结转移预测中的应用

毛立华 姚伟根 鲁鹏聪 谢清 周彬

解剖学报 ›› 2026, Vol. 57 ›› Issue (1) : 42-47.

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解剖学报 ›› 2026, Vol. 57 ›› Issue (1) : 42-47. DOI: 10.16098/j.issn.0529-1356.2026.01.007
机器人与手术导航专栏

前列腺癌术前动态增强磁共振成像特征及定量参数在淋巴结转移预测中的应用

  • 毛立华姚伟根1*鲁鹏聪谢清周彬2
作者信息 +

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

  • MAO Li-hua1, YAO Wei-gen1*, LU Peng-cong1, XIE Qing1, ZHOU Bin2
Author information +
文章历史 +

摘要

目的 探讨前列腺癌术前动态增强磁共振成像(DCE-MRI)特征及定量参数在淋巴结转移预测中的应用价值。方法 回顾性分析2019年1月~2023年5月宁波大学附属阳明医院(余姚市人民医院)收治的102例前列腺癌患者临床资料,所有患者术前均接受影像学检查,并接受术后组织病理检查。统计患者淋巴结转移情况,将患者分为淋巴结转移组(LMG,15例)与非淋巴结转移组(LNMG,87例),对比两组DCE-MRI特征及定量参数,采用Logistic回归分析其与前列腺癌患者淋巴结转移的关系,绘制受试者工作特征曲线(ROC)分析前列腺癌术前DCE-MRI特征及定量参数对淋巴结转移的预测价值。结果 淋巴结转移组肿瘤直径>2cm,肿瘤边缘模糊占比高于非淋巴结转移组,容积转移常数(Ktrans)、反向弥散速率常数(Kep)值大于非淋巴结转移组(P<0.05);Logistic 回归分析显示,肿瘤直径>2cm、肿瘤边缘模糊、Ktrans值和Kep值较大是前列腺癌患者发生淋巴结转移的危险因素(OR>1,P<0.05);ROC曲线结果显示,肿瘤直径、肿瘤边缘、Ktrans值、Kep值对前列腺癌患者发生淋巴结转移具有一定的预测价值,其曲线下面积(AUC)分别为(0.715、0.740、0.935、0.821,P<0.05)。结论 前列腺癌原发灶的DCE-MRI特征及定量参数,对术前预测淋巴结转移具有重要价值。临床综合评估上述指标,有助于评估前列腺癌患者淋巴结转移状态,为个体化治疗方案的制定提供客观影像学依据。

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 Ktrans and Kep 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 Ktrans value and large Kep 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, Ktrans value and Kep 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.

关键词

前列腺癌 / 淋巴结转移 / 影像学特征 / 定量参数 / 动态增强磁共振成像 /

Key words

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

引用本文

导出引用
毛立华 姚伟根 鲁鹏聪 谢清 周彬. 前列腺癌术前动态增强磁共振成像特征及定量参数在淋巴结转移预测中的应用[J]. 解剖学报. 2026, 57(1): 42-47 https://doi.org/10.16098/j.issn.0529-1356.2026.01.007
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
中图分类号: R318.16    R445.2   

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基金

余姚市科技计划项目(2023YZD02)

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