相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists' training
Maarten de Rooij et al.
EUROPEAN RADIOLOGY (2020)
Additional Value of Dynamic Contrast-enhanced Sequences in Multiparametric Prostate Magnetic Resonance Imaging: Data from the PROMIS Study
Ahmed El-Shater Bosaily et al.
EUROPEAN UROLOGY (2020)
Biparametric (bp) and multiparametric (mp) magnetic resonance imaging (MRI) approach to prostate cancer disease: a narrative review of current debate on dynamic contrast enhancement
Pierpaolo Palumbo et al.
GLAND SURGERY (2020)
Prostate Imaging Quality (PI-QUAL): A New Quality Control Scoring System for Multiparametric Magnetic Resonance Imaging of the Prostate from the PRECISION trial
Francesco Giganti et al.
EUROPEAN UROLOGY ONCOLOGY (2020)
Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2
Baris Turkbey et al.
EUROPEAN UROLOGY (2019)
High Diagnostic Performance of Short Magnetic Resonance Imaging Protocols for Prostate Cancer Detection in Biopsy-naive Men: The Next Step in Magnetic Resonance Imaging Accessibility
Marloes van der Leest et al.
EUROPEAN UROLOGY (2019)
Abbreviated Biparametric Versus Standard Multiparametric MRI for Diagnosis of Prostate Cancer: A Systematic Review and Meta-Analysis
Zhen Kang et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis
V Kasivisvanathan et al.
NEW ENGLAND JOURNAL OF MEDICINE (2018)
Head-to-Head Comparison Between Biparametric and Multiparametric MRI for the Diagnosis of Prostate Cancer: A Systematic Review and Meta-Analysis
Sungmin Woo et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2018)
Assessment of the Diagnostic Accuracy of Biparametric Magnetic Resonance Imaging for Prostate Cancer in Biopsy-Naive Men The Biparametric MRI for Detection of Prostate Cancer (BIDOC) Study
Lars Boesen et al.
JAMA NETWORK OPEN (2018)
Novel Biparametric MRI and Targeted Biopsy Improves Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer (IMPROD Trial)
Ivan Jambor et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2017)
Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study
Hashim U. Ahmed et al.
LANCET (2017)
Biparametric versus Multiparametric MRI with Non-endorectal Coil at 3T in the Detection and Localization of Prostate Cancer
Michele Scialpi et al.
ANTICANCER RESEARCH (2017)
The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma Definition of Grading Patterns and Proposal for a New Grading System
Jonathan I. Epstein et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2016)
The value of magnetic resonance imaging and ultrasonography (MRI/US)-fusion biopsy platforms in prostate cancer detection: a systematic review
Maudy Gayet et al.
BJU INTERNATIONAL (2016)
Biparametric 3T Magentic Resonance Imaging for prostatic cancer detection in a biopsy-naive patient population: a further improvement of PI-RADS v2?
Arnaldo Stanzione et al.
EUROPEAN JOURNAL OF RADIOLOGY (2016)
Prostate Cancer: Top Places Where Tumors Hide on Multiparametric MRI
Andrew B. Rosenkrantz et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2015)
Detection of Clinically Significant Prostate Cancer Using Magnetic Resonance Imaging-Ultrasound Fusion Targeted Biopsy: A Systematic Review
Massimo Valerio et al.
EUROPEAN UROLOGY (2015)
Global Cancer Statistics
Ahmedin Jemal et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2011)
Magnetic Resonance Imaging for the Detection, Localisation, and Characterisation of Prostate Cancer: Recommendations from a European Consensus Meeting
Louise Dickinson et al.
EUROPEAN UROLOGY (2011)
The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma
JI Epstein et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2005)
分享论文
