Multiparametric Magnetic Resonance/Ultrasound Fusion Prostate Biopsy: Number and Spatial Distribution of Cores for Better Index Tumor Detection and Characterization-Reference-Cited by-同舟云学术

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Multiparametric Magnetic Resonance/Ultrasound Fusion Prostate Biopsy: Number and Spatial Distribution of Cores for Better Index Tumor Detection and Characterization

Published:2017-07 Issue:1 Volume:198 Page:58-64
ISSN:0022-5347
Container-title:Journal of Urology
language:en
Short-container-title:Journal of Urology

Author:

Porpiglia Francesco¹²,De Luca Stefano¹,Passera Roberto²³,De Pascale Agostino⁴,Amparore Daniele¹,Cattaneo Giovanni¹,Checcucci Enrico¹,De Cillis Sabrina¹,Garrou Diletta¹,Manfredi Matteo¹,Mele Fabrizio¹,Bollito Enrico⁵,Fiori Cristian¹

Affiliation:

1. Division of Urology, San Luigi Gonzaga Hospital and University of Turin, Orbassano, Italy

2. University of Turin, Orbassano, Italy

3. Division of Nuclear Medicine, San Giovanni Battista Hospital, Perugia, Italy

4. Division of Radiology, San Luigi Gonzaga Hospital and University of Turin, Orbassano, Italy

5. Division of Pathology, San Luigi Gonzaga Hospital and University of Turin, Orbassano, Italy

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

Reference26 articles.

1. The index lesion and the origin of prostate cancer;Ahmed;N Engl J Med,2009

2. Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer;Siddiqui;JAMA,2015

3. Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds;Turkbey;J Urol,2011

4. ESUR prostate MR guidelines 2012;Barentsz;Eur Radiol,2012

5. Accuracy of multiparametric MRI for prostate cancer detection: a meta analysis;De Rooij;AJR Am J Roentgenol,2014

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3. The effectiveness of mapping-targeted biopsies on the index lesion in transperineal prostate biopsies;International braz j urol;2024-06

4. Utility of positive core number on MRI‐ultrasound fusion targeted biopsy in combination with PI‐RADS scores for predicting unexpected extracapsular extension of clinically localized prostate cancer;International Journal of Urology;2024-03-12

5. Machine-Learning-Based Tool to Predict Target Prostate Biopsy Outcomes: An Internal Validation Study;Journal of Clinical Medicine;2023-06-28

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