Suppr超能文献

MRI 检查 PI-RADS 3 类病变患者中,预测前列腺癌的最佳 PSA 密度阈值和预测因素。

Optimal PSA density threshold and predictive factors for the detection of clinically significant prostate cancer in patient with a PI-RADS 3 lesion on MRI.

机构信息

Urology Department, CHU Brest, Brest, France; Faculté de Médecine et des Sciences de la Santé, Université de Brest, Brest, France; LaTIM, INSERM, UMR 1101, CHU Brest, Brest, France.

Urology Department, CHU Brest, Brest, France.

出版信息

Urol Oncol. 2023 Aug;41(8):354.e11-354.e18. doi: 10.1016/j.urolonc.2023.05.005. Epub 2023 Jun 28.

Abstract

INTRODUCTION

While Prostate Imaging Reporting and Data System (PI-RADS) 4 and 5 lesions usually justify prostate biopsy (PBx), the management of a PI-RADS 3 lesion can be discussed. The aim of our study was to determine the optimal prostate-specific antigen density (PSAD) threshold and predictive factors of clinically significant prostate cancer (csPCa) in patients with a PI-RADS 3 lesion on MRI.

PATIENTS AND METHODS

Using our prospectively maintained database, we conducted a monocentric retrospective study, including all patients with a clinical suspicious of prostate cancer (PCa), all of them had a PI-RADS 3 lesion on the mpMRI prior to PBx. Patients under active surveillance or displaying suspicious digital rectal examination were excluded. Clinically significant (csPCa) was defined as PCa with any ISUP grade group ≥ 2 (Gleason ≥ 3 + 4).

RESULTS

We included 158 patients. The detection rate of csPCa was 22.2%. In case of PSAD ≤ 0.15 ng/ml/cm, PBx would be omitted in 71.5% (113/158) of men at the cost of missing 15.0% (17/113) of csPCa. With a threshold of 0.15 ng/ml/cm, the sensitivity and the specificity were 0.51 and 0.78 respectively. The positive predictive value was 0.40 and the negative predictive value was 0.85. According to multivariate analysis, age (OR = 1.10, CI95% 1.03-1.19, P = 0.007), and PSAD ≥ 0.15 ng/ml/cm (OR = 3.59, CI95% 1.41-9.47, P = 0.008) were independent predictive factors of csPCa. Previous negative PBx was negatively associated with csPCa (OR = 0.24, CI 95% 0.07-0.66, P = 0.01).

CONCLUSION

Our result suggests that the optimal PSAD threshold was 0.15 ng/ml/cm. However, in this case omitting PBx in 71.5% of cases would be at the cost of missing 15.0% of csPCa. PSAD should not be used alone, other predictive factors as age and PBx history should also be considered in the discussion with the patient, to avoid PBx while missing few csPCa.

摘要

简介

虽然前列腺影像报告和数据系统(PI-RADS)4 级和 5 级病变通常需要进行前列腺活检(PBx),但可以对 PI-RADS 3 级病变进行讨论。我们的研究目的是确定 MRI 上 PI-RADS 3 级病变患者中最佳的前列腺特异性抗原密度(PSAD)阈值和预测临床显著前列腺癌(csPCa)的因素。

患者和方法

我们使用前瞻性维护的数据库进行了一项单中心回顾性研究,纳入了所有临床怀疑患有前列腺癌(PCa)的患者,所有患者在 PBx 前的 mpMRI 上均有 PI-RADS 3 级病变。排除接受主动监测或显示可疑直肠指检的患者。临床显著(csPCa)定义为任何 ISUP 分级组≥2 级(Gleason≥3+4)的 PCa。

结果

我们纳入了 158 名患者。csPCa 的检出率为 22.2%。如果 PSAD≤0.15ng/ml/cm,则在 71.5%(113/158)的男性中可以避免进行 PBx,但代价是漏诊 15.0%(17/113)的 csPCa。当阈值为 0.15ng/ml/cm 时,敏感性和特异性分别为 0.51 和 0.78。阳性预测值为 0.40,阴性预测值为 0.85。根据多变量分析,年龄(OR=1.10,95%CI 1.03-1.19,P=0.007)和 PSAD≥0.15ng/ml/cm(OR=3.59,95%CI 1.41-9.47,P=0.008)是 csPCa 的独立预测因素。以前的阴性 PBx 与 csPCa 呈负相关(OR=0.24,95%CI 0.07-0.66,P=0.01)。

结论

我们的结果表明,最佳 PSAD 阈值为 0.15ng/ml/cm。然而,在这种情况下,在 71.5%的病例中避免进行 PBx 将导致漏诊 15.0%的 csPCa。PSAD 不应单独使用,还应考虑年龄和 PBx 史等其他预测因素,以避免遗漏少数 csPCa 而避免进行 PBx。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验