| 摘要: |
| 目的 探讨不同超声技术联合诊断在前列腺癌诊断中的临床价值。方法 选择2019年1月至2020年8月期间于我院住院欲行前列腺病灶切除术的患者，共175例，术前行经直肠不同超声技术检查，术后根据病理结果分为良性组和恶性组。应用Logistic回归分析进行单因素及多因素分析首先建立不同超声技术诊断前列腺癌的回归模型A评分，在此模型的基础上联合各临床指标及实验室检查结果建立不同超声技术超声联合诊断前列腺癌的回归模型B评分。应用受试者工作特征曲线（ROC）比较模型A评分、模型B评分、年龄、PSA的诊断效能。结果 模型A评分、年龄、PSA为诊断前列腺癌的预测因子，构建模型B评分。模型B评分诊断效能最高，且与模型A、年龄、PSA差异均有统计学意义（P<0.05）。结论 不同超声技术联合实验室检查及结合临床资料对诊断前列腺癌的价值更高。 |
| 关键词: 前列腺癌 弹性成像 超声造影 |
| DOI： |
| 投稿时间：2020-11-25修订日期：2020-11-26 |
| 基金项目:2019年度河北省医学科学研究课题计划 |
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| Evaluation of diagnostic value of prostate cancer based on different ultrasound |
| Liu Peizhi,Liu Shuipeng,Gong E,Lao Shuangli,Yang Liying,Zhang Shuhua |
| () |
| Abstract: |
| Objective To investigate the clinical value of multimodal ultrasound in the diagnosis of prostate cancer. Methods from January 2019 to August 2020, 175 patients who were hospitalized in our hospital for prostate lesion resection were selected. They were examined by transrectal multimodal ultrasound before operation, and were divided into benign group and malignant group according to pathological results. Logistic regression analysis was used to analyze the single factor and multiple factors. Firstly, the regression model A of multimodal ultrasound diagnosis of prostate cancer was established. On the basis of this model, the regression model B of multimodal ultrasound combined diagnosis of prostate cancer was established by combining the clinical indicators and laboratory examination results. Receiver operating characteristic curve (ROC) was used to compare the diagnostic efficacy of model A, model B, age and PSA. Results model A age and PSA were predictive factors for the diagnosis of prostate cancer, and model B score was constructed. The diagnostic efficiency of model B was the highest, and there were significant differences between model B and model A, age and PSA (P < 0.05). Conclusion multimodal ultrasound combined with laboratory examination and clinical data is more valuable in the diagnosis of prostate cancer. |
| Key words: prostate cancer Elastography contrast-enhanced ultrasound |
