PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Precision and Future Medicine10.23838/pfm.2020.00114202044141-148Validation of new TRUS biopsy techniques for PI-RADS 4 or 5Taein An, Byung Kwan Parkhttp://pfmjournal.org/upload/pdf/pfm-2020-00114.pdf, http://pfmjournal.org/journal/view.php?doi=10.23838/pfm.2020.00114, http://pfmjournal.org/upload/pdf/pfm-2020-00114.pdf
Frontiers in Oncology10.3389/fonc.2021.608409202111New TRUS Techniques and Imaging Features of PI-RADS 4 or 5: Influence on Tumor TargetingAmy Inji Chang, Byung Kwan Parkhttps://www.frontiersin.org/articles/10.3389/fonc.2021.608409/full
Journal of Clinical Medicine10.3390/jcm9020530202092530New Biopsy Techniques and Imaging Features of Transrectal Ultrasound for Targeting PI-RADS 4 and 5 LesionsByung Kwan Park, Sung Yoon Parkhttps://www.mdpi.com/2077-0383/9/2/530/pdf
Abdominal Radiology10.1007/s00261-020-02481-y20204572235-2243MRI/TRUS fusion vs. systematic biopsy: intra-patient comparison of diagnostic accuracy for prostate cancer using PI-RADS v2Andrés Labra, Fernando González, Claudio Silva, Gerhard Franz, Rodrigo Pinochet, Rajan T. Guptahttp://link.springer.com/content/pdf/10.1007/s00261-020-02481-y.pdf, http://link.springer.com/article/10.1007/s00261-020-02481-y/fulltext.html, http://link.springer.com/content/pdf/10.1007/s00261-020-02481-y.pdf
Journal of Urology10.1016/j.juro.2015.02.192820151934SMP86-19 IN-BORE MRI-GUIDED TARGETED PROSTATE BIOPSY (MRGTBX): PI RADS BASED PROSTATE CANCER DETECTION AND GLEASON UPGRADING ON 3T COMPARED TO TRUS BIOPSY IN MEN WITH ELEVATED PSAWei Chan Lin, Nelly Tan, Pooria Khoshnoodi, Daniel Margolis, David Lu, Steven Ramanhttps://api.elsevier.com/content/article/PII:S0022534715022399?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0022534715022399?httpAccept=text/plain, http://www.jurology.com/doi/pdf/10.1016/j.juro.2015.02.1928
Journal of the Chinese Medical Association10.1016/j.jcma.2016.05.00420167911618-624Cognitive MRI-TRUS fusion-targeted prostate biopsy according to PI-RADS classification in patients with prior negative systematic biopsy resultsWei-Jen Lai, Hsin-Kai Wang, Hsian-Tzu Liu, Byung Kwan Park, Shu-Huei Shen, Tzu-Ping Lin, Hsiao-Jen Chung, Yi-Hsiu Huang, Yen-Hwa Changhttps://api.elsevier.com/content/article/PII:S1726490116301289?httpAccept=text/plain, https://api.elsevier.com/content/article/PII:S1726490116301289?httpAccept=text/xml, https://journals.lww.com/02118582-201611000-00008
European Urology10.1016/s0302-2838(22)00561-9202281S722-S723Interreader agreement with Prostate Imaging Reporting and Data System (PI-RADS) Version 2.1 to improve the detection rate of prostate cancer in MRI/TRUS software fusion prostate biopsyJ. Kim, W.H. Song, D.D. Lee, S.S. Lee, J.K. Nam, H.S. Ryu, T.U. Kim, S.W. Parkhttps://api.elsevier.com/content/article/PII:S0302283822005619?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0302283822005619?httpAccept=text/plain
Diagnostics10.3390/diagnostics1108133520211181335Does Adding Standard Systematic Biopsy to Targeted Prostate Biopsy in PI-RADS 3 to 5 Lesions Enhance the Detection of Clinically Significant Prostate Cancer? Should All Patients with PI-RADS 3 Undergo Targeted Biopsy?Enrique Gomez-Gomez, Sara Moreno Sorribas, Jose Valero-Rosa, Ana Blanca, Juan Mesa, Joseba Salguero, Julia Carrasco-Valiente, Daniel López-Ruiz, Francisco José Anglada-Curadohttps://www.mdpi.com/2075-4418/11/8/1335/pdf
European Radiology10.1007/s00330-013-3017-52013242344-352Evaluation of the ESUR PI-RADS scoring system for multiparametric MRI of the prostate with targeted MR/TRUS fusion-guided biopsy at 3.0 TeslaM. C. Roethke, T. H. Kuru, S. Schultze, D. Tichy, A. Kopp-Schneider, M. Fenchel, H.-P. Schlemmer, B. A. Hadaschikhttp://link.springer.com/content/pdf/10.1007/s00330-013-3017-5.pdf, http://link.springer.com/article/10.1007/s00330-013-3017-5/fulltext.html, http://link.springer.com/content/pdf/10.1007/s00330-013-3017-5
Frontiers in Oncology10.3389/fonc.2021.824204202211TRUS-Guided Target Biopsy for a PI-RADS 3–5 Index Lesion to Reduce Gleason Score Underestimation: A Propensity Score Matching AnalysisJae Hoon Chung, Byung Kwan Park, Wan Song, Minyong Kang, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Hyun Moo Leehttps://www.frontiersin.org/articles/10.3389/fonc.2021.824204/full