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A Predictive Model Based on Bi-parametric Magnetic Resonance Imaging and Clinical Parameters for Clinically Significant Prostate Cancer in the Korean Population
Tae Il Noh, Chang Wan Hyun, Ha Eun Kang, Hyun Jung Jin, Jong Hyun Tae, Ji Sung Shim, Sung Gu Kang, Deuk Jae Sung, Jun Cheon, Jeong Gu Lee, Seok Ho Kang
Cancer Research and Treatment. 2021;53(4):1148-1155.   Published online 2020 December 31    DOI: https://doi.org/10.4143/crt.2020.1068

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A Risk Model for Detecting Clinically Significant Prostate Cancer Based on Clinical Parameters and the Prostate Imaging Reporting and Data System using Bi-parametric Magnetic Resonance Imaging in a Japanese Cohort.
. 2021;   Crossref logo
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A Predictive Model Based on Bi-parametric Magnetic Resonance Imaging and Clinical Parameters for Clinically Significant Prostate Cancer in the Korean Population
Cancer Research and Treatment. 2021;53(4):1148-1155   Crossref logo
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A risk model for detecting clinically significant prostate cancer based on bi-parametric magnetic resonance imaging in a Japanese cohort
Scientific Reports. 2021;11(1):   Crossref logo
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Development and validation of a predictive model for determining clinically significant prostate cancer in men with negative magnetic resonance imaging after transrectal ultrasound‐guided prostate biopsy
The Prostate. 2021;81(13):983-991   Crossref logo
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Editorial for “Biparametric Magnetic Resonance Imaging‐Derived Nomogram to Detect Clinically Significant Prostate Cancer by Targeted Biopsy for Index Lesion”
Journal of Magnetic Resonance Imaging. 2021;   Crossref logo
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Biparametric Magnetic Resonance Imaging‐Derived Nomogram to Detect Clinically Significant Prostate Cancer by Targeted Biopsy for Index Lesion
Journal of Magnetic Resonance Imaging. 2021;   Crossref logo
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Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: an Updated Systematic Review
Clinical Oncology. 2021;   Crossref logo
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A predictive model based on biparametric magnetic resonance imaging and clinical parameters for improved risk assessment and selection of biopsy-naïve men for prostate biopsies
Prostate Cancer and Prostatic Diseases. 2019;22(4):609-616   Crossref logo
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Magnetic Resonance Imaging Radiomics‐Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI‐RADS 3 Lesions
Journal of Magnetic Resonance Imaging. 2021;54(5):1466-1473   Crossref logo
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The efficiency of multiparametric magnetic resonance imaging (mpMRI) using PI-RADS Version 2 in the diagnosis of clinically significant prostate cancer
Clinical Imaging. 2016;40(5):885-888   Crossref logo
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