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前列腺影像报告和数据系统分类在靶向磁共振成像/超声融合活检中预测肿瘤侵袭性的评估

Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy.

作者信息

Borkowetz Angelika, Platzek Ivan, Toma Marieta, Renner Theresa, Herout Roman, Baunacke Martin, Laniado Michael, Baretton Gustavo B, Froehner Michael, Zastrow Stefan, Wirth Manfred P

机构信息

Department of Urology, Technische Universitaet Dresden, Dresden, Germany.

出版信息

Urol Int. 2017;99(2):177-185. doi: 10.1159/000477263. Epub 2017 May 23.

DOI:10.1159/000477263
PMID:28531902
Abstract

OBJECTIVES

The study aimed to evaluate the prediction of Prostate Imaging Reporting and Data System (PI-RADS) with respect to the prostate cancer (PCa) detection rate and tumor aggressiveness in magnetic resonance imaging (MRI)/ultrasound-fusion-biopsy (fusPbx) and in systematic biopsy (sysPbx).

MATERIALS AND METHODS

Six hundred and twenty five patients undergoing multiparametric MRI were investigated. MRI findings were classified using PI-RADS v1 or v2. All patients underwent fusPbx combined with sysPbx (comPbx). The lesion with the highest PI-RADS was defined as maximum PI-RADS (maxPI-RADS). Gleason Score ≥7 (3 + 4) was defined as significant PCa.

RESULTS

The overall PCa detection rate was 51% (n = 321; 39% significant PCa). The detection rate was 43% in fusPbx (n = 267; 34% significant PCa) and 36% in sysPbx (n = 223; 27% significant PCa). Nine percentage of significant PCa were detected by sysPbx alone. A total of 1,162 lesions were investigated. The detection rate of significant PCa in lesions with PI-RADS 2, 3, 4, and 5 were 9% (18/206), 12% (56/450), 27% (98/358), and 61% (90/148) respectively. maxPI-RADS ≥4 was the strongest predictor for the detection of significant PCa in comPbx (OR 2.77; 95% CI 1.81-4.24; p < 0.005).

CONCLUSIONS

maxPI-RADS is the strongest predictor for the detection of significant PCa in comPbx. Due to a high detection rate of additional significant PCa in sysPbx, fusPbx should still be combined with sysPbx.

摘要

目的

本研究旨在评估前列腺影像报告和数据系统(PI-RADS)在磁共振成像(MRI)/超声融合活检(fusPbx)和系统活检(sysPbx)中对前列腺癌(PCa)检出率及肿瘤侵袭性的预测价值。

材料与方法

对625例行多参数MRI检查的患者进行研究。MRI检查结果根据PI-RADS v1或v2进行分类。所有患者均接受fusPbx联合sysPbx(comPbx)。将PI-RADS评分最高的病灶定义为最大PI-RADS(maxPI-RADS)。 Gleason评分≥7(3 + 4)定义为有临床意义的PCa。

结果

总体PCa检出率为51%(n = 321;39%为有临床意义的PCa)。fusPbx的检出率为43%(n = 267;34%为有临床意义的PCa),sysPbx的检出率为36%(n = 223;27%为有临床意义的PCa)。仅通过sysPbx检出了9%有临床意义的PCa。共检查了1162个病灶。PI-RADS 2、3、4和5类病灶中有临床意义的PCa检出率分别为9%(18/206)、12%(56/450)、27%(98/358)和61%(90/148)。maxPI-RADS≥4是comPbx中有临床意义的PCa检出的最强预测指标(OR 2.77;95%CI 1.81 - 4.24;p < 0.005)。

结论

maxPI-RADS是comPbx中有临床意义的PCa检出的最强预测指标。由于sysPbx对额外有临床意义的PCa有较高的检出率,fusPbx仍应与sysPbx联合使用。

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