影像诊断与介入放射学2024，Vol.33Issue(4) ：243-249.DOI:10.3969/j.issn.1005-8001.2024.04.001

酰胺质子转移成像联合前列腺特异性抗原衍生指标对灰区前列腺癌的诊断价值

Efficacy of amide-proton transfer imaging combined with serum prostate-specific antigen-related indicators in the detection of gray zone prostate cancer

张沥 张晶 折霞 汤敏 李陇超
影像诊断与介入放射学2024，Vol.33Issue(4) ：243-249.DOI:10.3969/j.issn.1005-8001.2024.04.001
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  • 维普
  • 万方数据

酰胺质子转移成像联合前列腺特异性抗原衍生指标对灰区前列腺癌的诊断价值

Efficacy of amide-proton transfer imaging combined with serum prostate-specific antigen-related indicators in the detection of gray zone prostate cancer

张沥 1张晶 1折霞 1汤敏 1李陇超1
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作者信息

  • 1. 710000 陕西西安,陕西省人民医院磁共振室
  • 折叠

摘要

目的 评估酰胺质子转移(APT)成像联合前列腺特异性抗原(PSA)衍生指标,建立列线图模型预测灰区前列腺癌的诊断价值.方法 回顾性分析 2021 年 6 月—2024 年 3 月在我院行前列腺MRI检查的患者临床及影像资料,根据纳入和排除标准进行筛选后,最终纳入 128 例,其中前列腺癌 30 例,前列腺增生 98 例.比较两组患者年龄、PSA及其衍生指标、APT最大值(APTmax)、APT平均值(APTmean)、APT最小值(APTmin).采用单因素和多因素Logistic回归分析确定诊断灰区前列腺癌的独立预测指标,并建立列线图模型.绘制受试者工作特征(ROC)曲线评估上述参数的诊断效能并计算曲线下面积(AUC).结果 两组患者体积及前列腺特异性抗原密度(PSAD)差异均有统计学意义.前列腺癌组APTmax、APTmean、APTmin值[(3.63±1.01)%、(2.60±0.857)%、(1.53±0.916)%]均大于增生组[(2.82±0.803)%、(1.95±0.092)%、(0.956±0.758)%],差异有统计学意义(P＜0.004).前列腺体积、PSAD、APTmax、APTmin值均是预测前列腺癌的独立危险因素,诊断灰区前列腺癌的AUC分别为 0.781、0.762、0.772、0.731.列线图模型对灰区前列腺癌的诊断AUC值为 0.856,高于各独立预测指标.结论APTmax、APTmin值联合前列腺体积、PSAD建立的列线图模型预测灰区前列腺癌具有较高的诊断价值,优于单独指标.

Abstract

Objective To assess the value of amide proton transfer(APT)imaging combined with prostate-specific antigen(PSA)derived indicators in the diagnosis of gray zone prostate cancer.Methods Clinical and MR imaging data of 128 patients with prostate cancer(30)or benign prostatic hyperplasia(BPH,98)undergoing prostate MRI in our hospital from June 2021 to March 2024 were retrospectively analyzed.Patient's age,PSA and its derivative indicators,APTmax,APTmean and APTmin were compared between the two groups.Single and multivariate logistic regression analyses were used to determine the independent predictors of prostate cancer in gray zone.A nomogram model was established.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficiency of the above parameters and the area under the ROC curve(AUC)was calculated.Results There were significant differences in the prostate volume and PSA density(PSAD)between the 2 groups.The values of APTmax[(3.63±1.01)%],APTmean[(2.60±0.86)%],and APTmin[(1.53±0.92)%]in the prostate cancer group were significantly higher(P＜0.004)than those in BPH[(2.82±0.80)%,(1.95±0.09)%,(0.96±0.76)%].Single and multivariate analyses showed that prostate volume,PSAD,APTmax,and APTmin were independent risk factors for gray zone prostate cancer with AUC values of 0.781,0.762,0.772,and 0.731,respectively.The diagnostic AUC value of the nomogram model for gray zone prostate cancer was 0.856,which was higher than each independent predictor.Conclusion The prediction model of APTmax and APTmin combined with prostate volume and PSAD has highest diagnostic value in gray zone prostate cancer.

关键词

磁共振成像/酰胺质子转移成像/前列腺特异性抗原/前列腺癌

Key words

Magnetic resonance imaging/Amide proton transfer imaging/Prostate-specific antigen/Prostate cancer

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基金项目

陕西省科技厅社发攻关项目(2023-YBSF-524)

陕西省人民医院孵化基金(2022YJY-13)

出版年

2024
影像诊断与介入放射学
中山大学

影像诊断与介入放射学

CSTPCD
影响因子：0.51
ISSN：1005-8001
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