How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naive men with PI-RADs v2 score <= 3?

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How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naive men with PI-RADs v2 score <= 3?

机译：如何制定临床决策，以避免在活组织检查 - 幼稚男性中避免不必要的前列腺筛查，PI-rads v2得分<= 3？

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Purpose To determine whether patients can avoid systematic prostate biopsy (PBx) if their Prostate Imaging Reporting and Data System version 2 (PI-RADs v2) score is <= 3 and how we clinicians make decisions that can maximize benefit.

机译：目的是判断患者是否可以避免系统的前列腺活检（PBX），如果他们的前列腺成像报告和数据系统版本2（PI-RADS V2）得分<= 3以及我们临床医生如何做出可以最大限度地利益的决策。

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《Zeitschrift fur Arznei- und Gewurzpflanzen》 |2020年第1期|共12页
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原文格式 PDF
正文语种 eng
中图分类药学;
关键词
mpMRI; PI-RADs v2; Biopsy; CSPCa;

机译：mpmri;pi-rads v2;活组织检查;cspca;

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1. How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naive men with PI-RADs v2 score <= 3? [J] . Zeitschrift fur Arznei- und Gewurzpflanzen . 2020,第1期

机译：如何制定临床决策，以避免在活组织检查 - 幼稚男性中避免不必要的前列腺筛查，PI-rads v2得分<= 3？
2. Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores [J] . David Jean Winkel, Hanns-Christian Breit, Bibo Shi, Quantitative Imaging in Medicine and Surgery . 2020,第4期

机译：通过机器学习预测从定量图像特征预测临床显着的前列腺癌，包括压缩感测前列腺灌注的径向MRI：与PI-RADS V2评估分数的比较
3. Detection of clinically significant prostate cancer with PI-RADS v2 scores, PSA density, and ADC values in regions with and without mpMRI visible lesions [J] . Westphalen Antonio C., Fazel Farhad, Nguyen Hao, International braz j urol . 2019,第4期

机译：使用PI-RADS v2分数，PSA密度和mpMRI可见或不可见病变区域的ADC值检测具有临床意义的前列腺癌
4. Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI [C] . Anneke Meyer, Marko Rakr, Daniel Schindele, IEEE International Symposium on Biomedical Imaging . 2019

机译：迈向患者个人PI-Rads v2扇区图：用于从T2加权MRI自动分割前列腺区域的Cnn
5. Factors in Pi-Rads 3 and 4 Prostate Lesions that Predict The Risk of Clinically Significant Cancer [D] . Swallow, Matthew. 2019

机译：Pi-rads 3和4前列腺病变中的因素预测临床显着癌症的风险
6. Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores [O] . David Jean Winkel, Hanns-Christian Breit, Bibo Shi, 2020

机译：使用机器学习从定量图像特征（包括前列腺灌注的压缩传感放射线MRI）定量图像特征预测具有临床意义的前列腺癌：与PI-RADS v2评估得分的比较
7. PD60-01 LIKERT VS. PI-RADS V2: A COMPARISON OF TWO RADIOLOGICAL SCORING SYSTEMS FOR DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER [O] . Christopher Charles Khoo*, David Eldred-Evans, Johannes Jaenicke, 2019

机译：pd60-01 likert vs. PI-RADS V2：两个放射性评分系统的比较检测临床显着的前列腺癌

How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naive men with PI-RADs v2 score <= 3?

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