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Performance of Prostate Imaging Reporting and Data System Version 2.1 for Diagnosis of Prostate Cancer: A Systematic Review and Meta‐Analysis
Park, Kye Jin, Choi, Sang Hyun, Kim, Mi‐hyun, Kim, Jeong Kon, Jeong, In Gab
Published in Journal of magnetic resonance imaging (01.07.2021)
Published in Journal of magnetic resonance imaging (01.07.2021)
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Using Prostate Imaging-Reporting and Data System (PI-RADS) Scores to Select an Optimal Prostate Biopsy Method: A Secondary Analysis of the Trio Study
Ahdoot, Michael, Lebastchi, Amir H., Long, Lori, Wilbur, Andrew R., Gomella, Patrick T., Mehralivand, Sherif, Daneshvar, Michael A., Yerram, Nitin K., O’Connor, Luke P., Wang, Alex Z., Gurram, Sandeep, Bloom, Jonathan, Siddiqui, M. Minhaj, Linehan, W. Marston, Merino, Maria, Choyke, Peter L., Pinsky, Paul, Parnes, Howard, Shih, Joanna H., Turkbey, Baris, Wood, Bradford J., Pinto, Peter A.
Published in European urology oncology (01.04.2022)
Published in European urology oncology (01.04.2022)
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Validation of Prostate Imaging Reporting and Data System Version 2 Using an MRI-Ultrasound Fusion Biopsy in Prostate Cancer Diagnosis
Kim, See Hyung, Choi, Mi Sun, Kim, Mi Jung, Kim, Young Hwan, Cho, Seung Hyun
Published in American journal of roentgenology (1976) (01.10.2017)
Published in American journal of roentgenology (1976) (01.10.2017)
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Validation of Prostate Imaging-Reporting and Data System Version 2: A Retrospective Analysis
Nguyentat, Michael, Ushinsky, Alexander, Miranda-Aguirre, Alessandra, Uchio, Edward, Lall, Chandana, Shirkhoda, Layla, Lee, Thomas, Green, Christopher, Houshyar, Roozbeh
Published in Current problems in diagnostic radiology (01.11.2018)
Published in Current problems in diagnostic radiology (01.11.2018)
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Prostate Imaging Reporting and Data System score in the diagnosis of prostate cancer patients with borderline PSA values
Stan, Marius, Bornarciuc, Vladimir, Suceveanu, Andra I, Costea, Andreea C, Suceveanu, Adrian P, Mazilu, Laura, Iorga, Ciprian, Hangan, Tony, Tudor, Corneliu, Epistatu, Dragos, Chirila, Sergiu, Gherghina, Viorel, Voinea, Felix
Published in Journal of Mind and Medical Sciences (01.10.2022)
Published in Journal of Mind and Medical Sciences (01.10.2022)
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The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer
Cao, Yudong, Cao, Min, Chen, Yuke, Yu, Wei, Fan, Yu, Liu, Qing, Gao, Ge, Zhao, Zheng, Wang, Xiaoying, Jin, Jie
Published in Oncotarget (04.07.2017)
Published in Oncotarget (04.07.2017)
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Prostate Imaging Reporting and Data System score (PI-RADS) and Glutathione S-transferase P1 methylation status (GST-P1) in the diagnosis of prostate cancer patients with borderline PSA values
Stan, Marius, Botnarciuc, Vladimir, Suceveanu, Andra Iulia, Costea, Andreea Cristina, Suceveanu, Adrian Paul, Mazilu, Laura, Iorga, Ciprian, Hangan, Tony, Tudor, Corneliu, Epistatu, Dragos, Chirila, Sergiu, Gherghina, Viorel, Voinea, Felix
Published in Journal of Mind and Medical Sciences (23.10.2022)
Published in Journal of Mind and Medical Sciences (23.10.2022)
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Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis
Zhu, Kai, Qin, Zhiqiang, Xue, Jianxin, Miao, Chenkui, Tian, Ye, Liu, Shouyong, Zhu, Shenhao, Gu, Qi, Hou, Chao, Xu, Aiming, Yang, Jie, Wang, Zengjun
Published in Translational andrology and urology (01.12.2019)
Published in Translational andrology and urology (01.12.2019)
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Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study
Jiang, Ke‐Wen, Song, Yang, Hou, Ying, Zhi, Rui, Zhang, Jing, Bao, Mei‐Ling, Li, Hai, Yan, Xu, Xi, Wei, Zhang, Cheng‐Xiu, Yao, Ye‐Feng, Yang, Guang, Zhang, Yu‐Dong
Published in Journal of magnetic resonance imaging (01.05.2023)
Published in Journal of magnetic resonance imaging (01.05.2023)
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Magnetic Resonance Elastography Combined With PI‐RADS v2.1 for the Identification of Clinically Significant Prostate Cancer
Chen, Jie, Chen, Yuntian, Chen, Guoyong, Deng, Liping, Yuan, Yuan, Tang, Hehan, Zhang, Zhen, Chen, Tingyu, Zeng, Hao, Yuan, Enyu, Yin, Meng, Chen, Jun, Song, Bin, Yao, Jin
Published in Journal of magnetic resonance imaging (01.05.2025)
Published in Journal of magnetic resonance imaging (01.05.2025)
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Prostate Magnetic Resonance Imaging Interpretation Varies Substantially Across Radiologists
Sonn, Geoffrey A., Fan, Richard E., Ghanouni, Pejman, Wang, Nancy N., Brooks, James D., Loening, Andreas M., Daniel, Bruce L., To’o, Katherine J., Thong, Alan E., Leppert, John T.
Published in European urology focus (01.07.2019)
Published in European urology focus (01.07.2019)
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Fully automatic segmentation on prostate MR images based on cascaded fully convolution network
Zhu, Yi, Wei, Rong, Gao, Ge, Ding, Lian, Zhang, Xiaodong, Wang, Xiaoying, Zhang, Jue
Published in Journal of magnetic resonance imaging (01.04.2019)
Published in Journal of magnetic resonance imaging (01.04.2019)
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Intra‐ and interreader reproducibility of PI‐RADSv2: A multireader study
Smith, Clayton P., Harmon, Stephanie A., Barrett, Tristan, Bittencourt, Leonardo K., Law, Yan Mee, Shebel, Haytham, An, Julie Y., Czarniecki, Marcin, Mehralivand, Sherif, Coskun, Mehmet, Wood, Bradford J., Pinto, Peter A., Shih, Joanna H., Choyke, Peter L., Turkbey, Baris
Published in Journal of magnetic resonance imaging (01.06.2019)
Published in Journal of magnetic resonance imaging (01.06.2019)
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Combining prostate health index and multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer in an Asian population
Hsieh, Po-Fan, Li, Wei-Juan, Lin, Wei-Ching, Chang, Han, Chang, Chao-Hsiang, Huang, Chi-Ping, Yang, Chi-Rei, Chen, Wen-Chi, Chang, Yi-Huei, Wu, Hsi-Chin
Published in World journal of urology (01.05.2020)
Published in World journal of urology (01.05.2020)
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Comparison of quantitative parameters and radiomic features as inputs into machine learning models to predict the Gleason score of prostate cancer lesions
Nai, Ying-Hwey, Cheong, Dennis Lai Hong, Roy, Sharmili, Kok, Trina, Stephenson, Mary C., Schaefferkoetter, Josh, Totman, John J., Conti, Maurizio, Eriksson, Lars, Robins, Edward G., Wang, Ziting, Chua, Wynne Yuru, Ang, Bertrand Wei Leng, Singha, Arvind Kumar, Thamboo, Thomas Paulraj, Chiong, Edmund, Reilhac, Anthonin
Published in Magnetic resonance imaging (01.07.2023)
Published in Magnetic resonance imaging (01.07.2023)
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Prediction of biochemical recurrence after radical prostatectomy with PI-RADS version 2 in prostate cancers: initial results
Park, Sung Yoon, Oh, Young Taik, Jung, Dae Chul, Cho, Nam Hoon, Choi, Young Deuk, Rha, Koon Ho, Hong, Sung Joon
Published in European radiology (01.08.2016)
Published in European radiology (01.08.2016)
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