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Editorial comment to Manually controlled targeted prostate biopsy with real-time fusion imaging of multiparametric magnetic resonance imaging and transrectal ultrasound: an early experience.对多参数磁共振成像与经直肠超声实时融合成像的手动控制靶向前列腺活检:早期经验的编辑评论
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Analyzing the learning curves of a novice and an experienced urologist for transrectal magnetic resonance imaging-ultrasound fusion prostate biopsy.分析新手和经验丰富的泌尿科医生进行经直肠磁共振成像-超声融合前列腺活检的学习曲线。
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本文引用的文献

1
The Institutional Learning Curve of Magnetic Resonance Imaging-Ultrasound Fusion Targeted Prostate Biopsy: Temporal Improvements in Cancer Detection in 4 Years.磁共振成像-超声融合靶向前列腺活检的机构学习曲线:4 年内癌症检测的时间改善。
J Urol. 2018 Nov;200(5):1022-1029. doi: 10.1016/j.juro.2018.06.012. Epub 2018 Jun 7.
2
MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis.MRI 靶向或标准活检用于前列腺癌诊断。
N Engl J Med. 2018 May 10;378(19):1767-1777. doi: 10.1056/NEJMoa1801993. Epub 2018 Mar 18.
3
Changes in prostate cancer detection rate of MRI-TRUS fusion vs systematic biopsy over time: evidence of a learning curve.MRI-TRUS 融合与系统活检检测前列腺癌率的变化:学习曲线的证据。
Prostate Cancer Prostatic Dis. 2017 Dec;20(4):436-441. doi: 10.1038/pcan.2017.34. Epub 2017 Aug 1.
4
Magnetic Resonance Imaging-Ultrasound Fusion Targeted Prostate Biopsy in a Consecutive Cohort of Men with No Previous Biopsy: Reduction of Over Detection through Improved Risk Stratification.在一组未曾接受过活检的男性连续队列中,磁共振成像-超声融合靶向前列腺活检:通过改进风险分层减少过度检测
J Urol. 2015 Dec;194(6):1601-6. doi: 10.1016/j.juro.2015.06.078. Epub 2015 Jun 19.
5
Defining the learning curve for multiparametric magnetic resonance imaging (MRI) of the prostate using MRI-transrectal ultrasonography (TRUS) fusion-guided transperineal prostate biopsies as a validation tool.以磁共振成像-经直肠超声(MRI-TRUS)融合引导下经会阴前列腺穿刺活检作为验证工具,确定前列腺多参数磁共振成像(MRI)的学习曲线。
BJU Int. 2016 Jan;117(1):80-6. doi: 10.1111/bju.12892. Epub 2015 May 11.
6
Target detection: magnetic resonance imaging-ultrasound fusion-guided prostate biopsy.目标检测:磁共振成像-超声融合引导下的前列腺活检
Urol Oncol. 2014 Aug;32(6):903-11. doi: 10.1016/j.urolonc.2013.08.006. Epub 2013 Nov 13.
7
The accuracy of different biopsy strategies for the detection of clinically important prostate cancer: a computer simulation.不同活检策略检测临床重要前列腺癌的准确性:计算机模拟。
J Urol. 2012 Sep;188(3):974-80. doi: 10.1016/j.juro.2012.04.104. Epub 2012 Jul 21.
8
Concordance between Gleason scores of needle biopsies and radical prostatectomy specimens: a population-based study.针吸活检与根治性前列腺切除术标本的Gleason评分一致性:一项基于人群的研究。
BJU Int. 2009 Jun;103(12):1647-54. doi: 10.1111/j.1464-410X.2008.08255.x. Epub 2008 Dec 22.

Temporal learning curve of a multidisciplinary team for magnetic resonance imaging/transrectal ultrasonography fusion prostate biopsy.

作者信息

Urkmez Ahmet, Ward John F, Choi Haesun, Troncoso Patricia, Inguillo Irene, Gregg Justin R, Altok Muammer, Demirel Huseyin C, Qiao Wei, Kang Hyunseon C

机构信息

Division of Surgery, Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Division of Diagnostic Imaging, Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

BJU Int. 2021 May;127(5):524-527. doi: 10.1111/bju.15325. Epub 2021 Jan 18.

DOI:10.1111/bju.15325
PMID:33340435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10645433/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f486/10645433/d0e2a83e01d2/nihms-1928321-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f486/10645433/d0e2a83e01d2/nihms-1928321-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f486/10645433/d0e2a83e01d2/nihms-1928321-f0001.jpg