Diagnostic performance of fusion (US/MRI guided) prostate biopsy: propensity score matched comparison of elastic versus rigid fusion system (Jan, 10.1007/s00345-021-03921-0, 2022)

被引：0

作者：

Ferriero, Mariaconsiglia ^{[1
]}

Tuderti, Gabriele ^{[1
]}

Muto, Gian Luca

Fiori, Cristian ^{[2
]}

Bove, Alfredo Maria ^{[1
]}

Mastroianni, Riccardo ^{[1
]}

Anceschi, Umberto ^{[1
]}

Misuraca, Leonardo ^{[1
]}

Brassetti, Aldo ^{[1
]}

De Cillis, Sabrina ^{[2
]}

Checcucci, Enrico ^{[2
]}

Guaglianone, Salvatore ^{[1
]}

Gallucci, Michele ^{[1
]}

Porpiglia, Francesco ^{[2
]}

Simone, Giuseppe ^{[1
]}

机构：

[1] Regina Elena Inst Canc Res, Dept Urol, Via Elio Chianesi 53, I-00144 Rome, RM, Italy

[2] Univ Turin, San Luigi Gonzaga Hosp, Urol, Turin, Italy

来源：

WORLD JOURNAL OF UROLOGY | 2022年 / 40卷 / 04期

关键词：

Detection rate; Elastic fusion biopsy; Imaging; MRI; Target prostate biopsy;

D O I：

10.1007/s00345-022-03956-x

中图分类号：

R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];

学科分类号：

1002 ; 100201 ;

摘要：

Purpose: Many software for US/MRI guided fusion prostate biopsy (FPB), have been developed in the last years. However, there are few data comparing diagnostic accuracy of different fusion systems. We assessed diagnostic performance of elastic (EF) versus rigid fusion (RF) PB in a propensity score matched (PSM) analysis. Methods: A total of 314 FPB were prospectively collected from two different centers. All patients were biopsy naïve and all mpMRI reported a single suspicious area. Overall, 211 PB were performed using a RF system and 103 using an EF software. The two groups were compared for the main clinical features. A 1:1 PSM analysis was employed to reduce covariate imbalance to < 10%. Detection rate (DR) for any prostate cancer (PCa) and clinically significant (cs) PCa were compared and stratified for PI-RADS Score. A per target univariable and multivariable regression analyses were applied to identity predictors of anyPCa and csPCa. Results: After applying the PSM, two cohorts of 83 cases were selected. DR of any PCa cancer and csPCa were comparable between the two cohorts (all p > 0.077) as well as DR of csPCa for every PIRADS score. At univariable regression analysis lesion size, PI-RADS Score, PSA Density and EF system were predictors of any PCa (all p < 0.001); however, at multivariable analysis only PI-RADS Score was independent predictor of any PCa (p = 0.027). At multivariable analysis only PI-RADS score was independent predictor of csPCa. Conclusions: Fusion PB guarantees high diagnostic accuracy for csPCa, regardless of the fusion technology. Prospective randomized study is needed to confirm these data. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

引用

页码：997 / 998

页数：2