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前列腺健康指数密度在临床意义重大的前列腺癌检测方面优于前列腺健康指数。

Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection.

作者信息

Chiu Shih-Ting, Cheng Yung-Ting, Pu Yeong-Shiau, Lu Yu-Chuan, Hong Jian-Hua, Chung Shiu-Dong, Chiang Chih-Hung, Huang Chao-Yuan

机构信息

Department of Urology, National Taiwan University Hospital, Taipei, Taiwan.

Department of Urology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.

出版信息

Front Oncol. 2021 Nov 19;11:772182. doi: 10.3389/fonc.2021.772182. eCollection 2021.

Abstract

BACKGROUND

Prostate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predict clinically significant prostate cancer (csPCa): a potentially lethal disease.

METHODS

A total of 412 men with PSA of 2-20 ng/mL were prospectively included. Serum biomarkers for PCa was collected before transrectal ultrasound guided prostate biopsy. PHI was calculated by the formula: (p2PSA/fPSA) x √tPSA. PHID was calculated as PHI divided by prostate volume measured by transrectal ultrasound.

RESULTS

Of the 412 men, 134 (32.5%) and 94(22.8%) were diagnosed with PCa and csPCa, respectively. We used the area under the receiver operating characteristic curve (AUC) and decision curve analyses (DCA) to compare the performance of PSA related parameters, PHI and PHID in diagnosing csPCa. AUC for tPSA, %fPSA, %p2PSA, PSAD, PHI and PHID were 0.56、0.63、0.76、0.74、0.77 and 0.82 respectively for csPCa detection. In the univariate analysis, the prostate volume, tPSA, %fPSA, %p2PSA, PHI, PSAD, and PHID were all significantly associated with csPCa, and PHID was the most important predictor (OR 1.41, 95% CI 1.15-1.72). Besides, The AUC of PHID was significantly larger than PHI in csPCa diagnosis (=0.004). At 90% sensitivity, PHID had the highest specificity (54.1%) for csPCa and could reduce the most unnecessary biopsies (43.7%) and miss the fewest csPCa (8.5%) when PHID ≥ 0.67. In addition to AUC, DCA re-confirmed the clinical benefit of PHID over all PSA-related parameters and PHI in csPCa diagnosis. The PHID cut-off value was positively correlated with the csPCa ratio in the PHID risk table, which is useful for evaluating csPCa risk in a clinical setting.

CONCLUSION

The PHID is an excellent predictor of csPCa. The PHID risk table may be used in standard clinical practice to pre-select men at the highest risk of harboring csPCa.

摘要

背景

前列腺特异性抗原(PSA)对前列腺癌(PCa)而言,既不被认为敏感,也不具有特异性。我们旨在比较总PSA(tPSA)、游离PSA百分比(%fPSA)、PSA密度(PSAD)、前列腺健康指数(PHI)和PHI密度(PHID),以确定哪一项能最好地预测临床显著前列腺癌(csPCa):一种潜在致命疾病。

方法

前瞻性纳入了412名PSA水平在2-20 ng/mL的男性。在经直肠超声引导下前列腺活检前收集PCa的血清生物标志物。PHI通过以下公式计算:(p2PSA/fPSA)×√tPSA。PHID计算为PHI除以经直肠超声测量的前列腺体积。

结果

在这412名男性中,分别有134名(32.5%)和94名(22.8%)被诊断为PCa和csPCa。我们使用受试者操作特征曲线下面积(AUC)和决策曲线分析(DCA)来比较PSA相关参数、PHI和PHID在诊断csPCa方面的性能。在检测csPCa时,tPSA、%fPSA、%p2PSA、PSAD、PHI和PHID的AUC分别为0.56、0.63、0.76、0.74、0.77和0.82。在单因素分析中,前列腺体积、tPSA、%fPSA、%p2PSA、PHI、PSAD和PHID均与csPCa显著相关,且PHID是最重要的预测指标(OR 1.41,95%CI 1.15-1.72)。此外,在csPCa诊断中,PHID的AUC显著大于PHI(P=0.004)。在90%敏感性时,PHID对csPCa具有最高特异性(54.1%),当PHID≥0.67时,能减少最多不必要的活检(43.7%)且漏诊最少的csPCa(8.5%)。除AUC外,DCA再次证实了在csPCa诊断中PHID相对于所有PSA相关参数和PHI的临床益处。PHID临界值与PHID风险表中的csPCa比例呈正相关,这在临床环境中有助于评估csPCa风险。

结论

PHID是csPCa的优秀预测指标。PHID风险表可用于标准临床实践中预先选择患csPCa风险最高的男性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1c9/8640459/b9c900eee5b7/fonc-11-772182-g001.jpg

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