Urine spermine and multiparametric magnetic resonance imaging for prediction of prostate cancer in Japanese men

IF 2.7 2区 医学 Q2 UROLOGY & NEPHROLOGY
Shuji Isotani , Peter Ka-Fung Chiu , Takeshi Ashizawa , Yan-Ho Fung , Takeshi Ieda , Toshiyuki China , Haruna Kawano , Fumitaka Shimizu , Masayoshi Nagata , Yuki Nakagawa , Satoru Muto , Ka-Leung Wong , Chi-Fai Ng , Shigeo Horie
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引用次数: 0

Abstract

Objectives

To investigate the role of urine spermine and spermine risk score in predicting prostate cancer (PCa) diagnoses in combination with multiparametric magnetic resonance imaging (mpMRI).

Methods

Three hundred forty seven consecutive men with elevated prostate-specific antigen (PSA) with mpMRI examination were prospectively enrolled in this study. In 265 patients with PSA levels between 4 and20 ng/ml, pre-biopsy urine samples were analyzed for spermine levels with ultra-high performance liquid chromatography (UPLC-MS/MS). Transperineal image-guided prostate biopsies with 16-18 cores were performed. Logistic regressions were used to form different models for the prediction of the PCa, and the performances were compared using the area under the curve (AUC).

Results

The median serum PSA level and prostate volume were 7.4 ng/mL and 33.9 mL, respectively. PCa and high-grade PCa (ISUP group ≥2, HGPCa) were diagnosed in 66.0% (175/265) and 132/265 (49.8%) cases, respectively. The urine spermine levels were significantly lower in men with PCa (0.87 vs. 2.20, P < 0.001). Multivariate analyses showed that age, PSA, PV, urine spermine level, and Prostate Imaging Reporting and Data System (PI-RADS) findings were independent predictors for PCa. The Spermine Risk Score is a multivariable model including PSA, age, prostate volume, and urine spermine. Adding the Spermine Risk Score to PI-RADS improved the AUC from 0.73 to 0.86 in PCa and from 0.72 to 0.83 in high grade PCa (HGPCa) prediction (both P < 0.001). At 90% sensitivity for HGPCa prediction using Spermine Risk Score, 31.1% of unnecessary biopsies could be avoided. In men with equivocal MRI PI-RADS score 3, the AUC for HGPCa prediction was 0.58, 0.79, and 0.87 for PSA, PSA density, and Spermine Risk Score, respectively.

Conclusion

Urine Spermine Risk Score, including mpMRI could accurately identify men at high risk of HGPCa and reduce unnecessary prostate biopsies. Spermine Risk Score could more accurately predict HGPCa than PSA density in men with MRI showing equivocal PI-RADS 3 lesions.

Abstract Image

Abstract Image

尿精胺和多参数磁共振成像预测日本男性前列腺癌症。
目的:结合多参数磁共振成像(mpMRI),探讨尿精胺和精胺危险评分在预测癌症(PCa)诊断中的作用。在265名PSA水平在4至20 ng/ml之间的患者中,用超高效液相色谱法(UPLC-MS/MS)分析活检前尿液样本中的精胺水平。经会阴图像引导前列腺活检16-18个核心进行。采用Logistic回归建立不同的前列腺癌预测模型,并使用曲线下面积(AUC)对其性能进行比较。结果:血清PSA水平和前列腺体积的中位数分别为7.4 ng/mL和33.9 mL。PCa和高级PCa(ISUP组≥2,HGPCa)的诊断率分别为66.0%(175/265)和132/265(49.8%)。前列腺癌男性的尿精胺水平显著低于前列腺癌男性(0.87 vs.2.20,P P结论:尿精胺风险评分,包括mpMRI,可以准确识别HGPCa高危男性,并减少不必要的前列腺活检。在MRI显示PI-RADS 3病变不明确的男性中,精胺风险得分比PSA密度更准确地预测HGPCa。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Prostate International
Prostate International Medicine-Urology
CiteScore
4.40
自引率
26.70%
发文量
40
审稿时长
35 days
期刊介绍: Prostate International (Prostate Int, PI), the official English-language journal of Asian Pacific Prostate Society (APPS), is an international peer-reviewed academic journal dedicated to basic and clinical studies on prostate cancer, benign prostatic hyperplasia, prostatitis, and ...
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