Yoo Changhee, Oh Cheol Young, Kim Se Joong, Kim Sun Il, Kim Young Sig, Park Jong Yeon, Seong Do Hwan, Song Yun Seob, Yang Won Jae, Chung Hyun Chul, Cho In Rae, Cho Sung Yong, Cheon Sang Hyeon, Hong Sungjoon, Cho Jin Seon
Department of Urology, Hallym University College of Medicine, Chuncheon, Korea.
Korean J Urol. 2012 Jun;53(6):391-5. doi: 10.4111/kju.2012.53.6.391. Epub 2012 Jun 19.
To identify potential predictive factors of incidental prostate cancer (IPca) in patients considering tissue-ablation treatment for benign prostatic hyperplasia (BPH).
From the 11 centers, 1,613 men who underwent transurethral resection of the prostate (TURP) or open prostatectomy were included. Before surgery, prostate biopsy was performed in all patients with prostate-specific antigen (PSA) ≥4.0 ng/ml or with abnormal digital rectal examination (DRE) findings. The patients with prostate cancer preoperatively or with PSA >20 ng/ml were excluded. As predictive factors of IPca, age, body mass index, PSA, DRE, and transrectal ultrasonography (TRUS) findings, including total prostate volume (TPV), transition zone volume (TZV), and the presence of hypoechoic lesions, were reviewed. PSA density (PSAD) and PSAD in the transition zone (PSAD-TZV) were calculated.
IPca was diagnosed in 78 patients (4.8%). DRE findings, PSA, and TZV were independent predictive factors in the multivariate analysis. In the receiver operating characteristic curve analysis of PSA, PSAD, and PSAD-TZV, the area under the curve (AUC) was the largest for PSAD-TZV (AUC, 0.685).
IPca was detected in 4.8% of the population studied. In addition to DRE findings, the combination of TZV and PSA can be useful predictive factors of IPca in patients considering tissue-ablation treatment as well as TURP.
在考虑对良性前列腺增生(BPH)进行组织消融治疗的患者中,确定偶发性前列腺癌(IPca)的潜在预测因素。
纳入来自11个中心的1613例行经尿道前列腺切除术(TURP)或开放性前列腺切除术的男性患者。术前,对所有前列腺特异性抗原(PSA)≥4.0 ng/ml或直肠指检(DRE)结果异常的患者进行前列腺活检。排除术前患有前列腺癌或PSA>20 ng/ml的患者。作为IPca的预测因素,对年龄、体重指数、PSA、DRE以及经直肠超声检查(TRUS)结果进行了回顾,包括前列腺总体积(TPV)、移行区体积(TZV)以及低回声病变的存在情况。计算了PSA密度(PSAD)和移行区PSAD(PSAD-TZV)。
78例患者(4.8%)被诊断为IPca。在多因素分析中,DRE结果、PSA和TZV是独立的预测因素。在PSA、PSAD和PSAD-TZV的受试者工作特征曲线分析中,PSAD-TZV的曲线下面积(AUC)最大(AUC,0.685)。
在所研究的人群中,4.8%检测到IPca。除了DRE结果外,TZV和PSA的联合对于考虑组织消融治疗以及TURP的患者而言,可能是IPca有用的预测因素。