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前列腺 PI-RADS V2.1 评分联合血清 PSA 相关指标在灰区前列腺癌检测中的临床效能。

Clinical efficacy of prostate PI-RADS V2.1 score combined with serum PSA-related indicators in the detection of gray zone prostate cancer.

机构信息

Wenzhou Medical University, Wenzhou, China.

出版信息

Int Urol Nephrol. 2023 Nov;55(11):2685-2693. doi: 10.1007/s11255-023-03692-0. Epub 2023 Jul 31.

DOI:10.1007/s11255-023-03692-0
PMID:37523077
Abstract

PURPOSE

The purpose of this study is to improve the diagnostic accuracy of gray zone prostate cancer evaluation by combining the prostate imaging report and data system version 2.1 (PI-RADS V2.1) score with serum prostate-specific antigen (PSA).

METHODS

We analyzed data from 212 men suspected of having prostate cancer and compared PSA-related indicators and PI-RADS V2.1 scores between 96 patients with prostate cancer and 116 without prostate cancer. By contrasting PI-RADS V2.1 scores with serum PSA-related markers, the diagnostic precision in the detection of grey zone prostate cancer was assessed.

RESULTS

The median PI-RADS V2.1 scores and serum tPSA levels of patients with prostate cancer were significantly higher (P < 0.05). The PI-RADS V2.1 score correlated positively with serum tPSA, PSA density (PSAD), and prostate health index (PHI) levels (P < 0.05) and negatively correlated with fPSA/tPSA concentrations (P < 0.05). Logistic regression identified risk factors including family history, PI-RADS V2.1 score, tPSA, PSAD, and PHI, with prostate volume and fPSA/tPSA as protective factors (P < 0.05). Combining serum PSA-related indicators with the PI-RADS V2.1 score improved diagnostic accuracy for gray zone prostate cancer (AUC 0.986, specificity 99.14%, sensitivity 92.71%).

CONCLUSION

The presence of a family history, a high PI-RADS V2.1 score, and elevated serum PSA-related markers contribute to high prostate cancer risk and development. The combined use of these indicators offers superior predictive value in detecting prostate cancer compared to a single indicator.

摘要

目的

本研究旨在通过结合前列腺影像报告和数据系统 2.1 版(PI-RADS V2.1)评分和血清前列腺特异性抗原(PSA),提高灰区前列腺癌评估的诊断准确性。

方法

我们分析了 212 名疑似患有前列腺癌的男性的数据,并比较了 96 例前列腺癌患者和 116 例无前列腺癌患者的 PSA 相关指标和 PI-RADS V2.1 评分。通过对比 PI-RADS V2.1 评分与血清 PSA 相关标志物,评估其在检测灰区前列腺癌中的诊断精度。

结果

前列腺癌患者的 PI-RADS V2.1 评分和血清总 PSA(tPSA)水平中位数明显更高(P<0.05)。PI-RADS V2.1 评分与血清 tPSA、PSA 密度(PSAD)和前列腺健康指数(PHI)水平呈正相关(P<0.05),与 fPSA/tPSA 浓度呈负相关(P<0.05)。Logistic 回归分析确定了包括家族史、PI-RADS V2.1 评分、tPSA、PSAD 和 PHI 在内的风险因素,而前列腺体积和 fPSA/tPSA 则为保护因素(P<0.05)。将血清 PSA 相关指标与 PI-RADS V2.1 评分相结合,可提高灰区前列腺癌的诊断准确性(AUC 0.986,特异性 99.14%,敏感性 92.71%)。

结论

家族史、高 PI-RADS V2.1 评分和升高的血清 PSA 相关标志物的存在与前列腺癌的高风险和发展有关。与单一指标相比,这些指标的联合使用在检测前列腺癌方面具有更高的预测价值。

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3
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4
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