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PSA<10 ng/mL且PI-RADS 3类病变患者恶性肿瘤预测的临床因素

Clinical factors for predicting malignancy in patients with PSA < 10 ng/mL and PI-RADS 3 lesions.

作者信息

Sonmez Gokhan, Tombul Sevket T, Demirtas Turev, Demirtas Abdullah

机构信息

Department of Urology, Erciyes University, Kayseri, Turkey.

Department of Medical History and Ethics, Erciyes University, Kayseri, Turkey.

出版信息

Asia Pac J Clin Oncol. 2021 Apr;17(2):e94-e99. doi: 10.1111/ajco.13347. Epub 2020 Aug 10.

Abstract

AIM

To determine clinical risk factors in patients with PI-RADS 3 lesions and prostate-specific antigen (PSA) < 10 ng/mL.

METHODS

In this prospective study, all patients underwent multiparametric magnetic resonance imaging. Following the 2-5 core fusion-targeted biopsy, standard 12-core prostate biopsy was performed in each patient (combined biopsy). The cutoff values were calculated with receiver-operating characteristic analysis. First, univariate logistic regression analysis was used to evaluate the relationship between total eight parameters and prostate cancer. Subsequently, multiple logistic regression analysis was performed to the parameters associated with prostate cancer.

RESULTS

Two hundred and eighty-eight patients were included in the study. Some clinical parameters are determined to be significant in univariate and multiple logistic regression analyses, including PSA, free/total PSA ratio, PSA density (PSA/total prostate volume), positive family history of PCa, and PI-RADS 3 lesion diameter. Patients were classified between 0 and 5 according to the number of risk factors. While the risk of cancer was 7.1% in patients with one or less risk factors, the PCA rate was 45.2% among patients with all risk factors.

CONCLUSION

In patients with PI-RADS 3 lesion and PSA < 10 ng/mL, histopathological results of biopsy can be estimated with higher accuracy using some clinical parameters.

摘要

目的

确定PI-RADS 3级病变且前列腺特异性抗原(PSA)<10 ng/mL患者的临床风险因素。

方法

在这项前瞻性研究中,所有患者均接受了多参数磁共振成像检查。在进行2-5针融合靶向活检后,对每位患者进行标准的12针前列腺活检(联合活检)。通过受试者操作特征分析计算临界值。首先,采用单因素逻辑回归分析评估总共八个参数与前列腺癌之间的关系。随后,对与前列腺癌相关的参数进行多因素逻辑回归分析。

结果

本研究纳入了288例患者。一些临床参数在单因素和多因素逻辑回归分析中被确定具有显著性,包括PSA、游离/总PSA比值、PSA密度(PSA/前列腺总体积)、前列腺癌家族史阳性以及PI-RADS 3级病变直径。根据风险因素数量将患者分为0至5级。风险因素为1个及以下的患者癌症风险为7.1%,而所有风险因素均有的患者前列腺癌发生率为45.2%。

结论

对于PI-RADS 3级病变且PSA<10 ng/mL的患者,使用一些临床参数可以更准确地估计活检的组织病理学结果。

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