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For: Kayhan A, Fan X, Oommen J, Oto A. Multi-parametric MR imaging of transition zone prostate cancer: Imaging features, detection and staging. World J Radiol 2010; 2(5): 180-187 [PMID: 21161033 DOI: 10.4329/wjr.v2.i5.180]
URL: https://www.wjgnet.com/1949-8470/full/v2/i5/180.htm
Number Citing Articles
1
Chung-Chieh Wang, H. Ballentine Carter, Jonathan I. Epstein. Value of Transition Zone Biopsy in Active Surveillance of Prostate CancerJournal of Urology 2014; 191(6): 1755 doi: 10.1016/j.juro.2013.11.058
2
Alexander P. Cole, Bjoern J. Langbein, Francesco Giganti, Fiona M. Fennessy, Clare M. Tempany, Mark Emberton. Is perfect the enemy of good? Weighing the evidence for biparametric MRI in prostate cancerThe British Journal of Radiology 2022; 95(1131) doi: 10.1259/bjr.20210840
3
Viacheslav Iremashvili, Lisét Pelaez, Mercé Jordá, Muragesan Manoharan, Daniel L. Rosenberg, Mark S. Soloway. Prostate Cancers of Different Zonal Origin: Clinicopathological Characteristics and Biochemical Outcome After Radical ProstatectomyUrology 2012; 80(5): 1063 doi: 10.1016/j.urology.2012.08.012
4
Takeshi Shin, Yasushi Kaji, Toshiro Shukuya, Miwako Nozaki, Shigehiro Soh, Hiroshi Okada. Significant changes of T2 value in the peripheral zone and seminal vesicles after ejaculationEuropean Radiology 2018; 28(3): 1009 doi: 10.1007/s00330-017-5077-4
5
Flavie Bratan, Emilie Niaf, Christelle Melodelima, Anne Laure Chesnais, Rémi Souchon, Florence Mège-Lechevallier, Marc Colombel, Olivier Rouvière. Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective studyEuropean Radiology 2013; 23(7): 2019 doi: 10.1007/s00330-013-2795-0
6
Aritrick Chatterjee, Dianning He, Xiaobing Fan, Shiyang Wang, Teodora Szasz, Ambereen Yousuf, Federico Pineda, Tatjana Antic, Melvy Mathew, Gregory S. Karczmar, Aytekin Oto. Performance of Ultrafast DCE-MRI for Diagnosis of Prostate CancerAcademic Radiology 2018; 25(3): 349 doi: 10.1016/j.acra.2017.10.004
7
Lih-Ming Wong, Ants Toi, Theodorus Van der Kwast, Greg Trottier, Shabbir M.H. Alibhai, Narhari Timilshina, Andrew Evans, Alexandre Zlotta, Neil Fleshner, Antonio Finelli. Regular Transition Zone Biopsy during Active Surveillance for Prostate Cancer May Improve Detection of Pathological ProgressionJournal of Urology 2014; 192(4): 1088 doi: 10.1016/j.juro.2014.04.010
8
L. Eusebi, F. A. Carpagnano, G. Sortino, F. Bartelli, G. Guglielmi. Prostate Multiparametric MRI: Common Pitfalls in Primary Diagnosis and How to Avoid ThemCurrent Radiology Reports 2021; 9(3) doi: 10.1007/s40134-021-00378-2
9
Ting Yang, Ying Li, Zheng Ye, Shan Yao, Qing Li, Yuan Yuan, Bin Song. Diffusion Weighted Imaging of the Abdomen and Pelvis: Recent Technical Advances and Clinical ApplicationsAcademic Radiology 2023; 30(3): 470 doi: 10.1016/j.acra.2022.07.018
10
Ceren Şeref, Ömer Acar, Mert Kılıç, Metin Vural, Yeşim Sağlıcan, Hilal Saraç, Bilgen Coşkun, Ümit İnce, Tarık Esen, Nathan A. Lack. Histologically benign PI‐RADS 4 and 5 lesions contain cancer‐associated epigenetic alterationsThe Prostate 2022; 82(1): 145 doi: 10.1002/pros.24255
11
Thomas Beyer, Heinz-Peter Schlemmer, Marc-André Weber, Kolja M. Thierfelder. PI-RADS 2.1 – Image Interpretation: The Most Important Updates and Their Clinical ImplicationsRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2020;  doi: 10.1055/a-1324-4010
12
Louise Dickinson, Hashim U. Ahmed, Clare Allen, Jelle O. Barentsz, Brendan Carey, Jurgen J. Futterer, Stijn W. Heijmink, Peter Hoskin, Alex P. Kirkham, Anwar R. Padhani, Raj Persad, Philippe Puech, Shonit Punwani, Aslam Sohaib, Bertrand Tombal, Arnauld Villers, Mark Emberton. Scoring systems used for the interpretation and reporting of multiparametric MRI for prostate cancer detection, localization, and characterization: could standardization lead to improved utilization of imaging within the diagnostic pathway?Journal of Magnetic Resonance Imaging 2013; 37(1): 48 doi: 10.1002/jmri.23689
13
Marcel A. van Schie, Cuong V. Dinh, Petra J. van Houdt, Floris J. Pos, Stijn W.T.J.P. Heijmink, Linda G.W. Kerkmeijer, Alexis N.T.J. Kotte, Raymond Oyen, Karin Haustermans, Uulke A. van der Heide. Contouring of prostate tumors on multiparametric MRI: Evaluation of clinical delineations in a multicenter radiotherapy trialRadiotherapy and Oncology 2018; 128(2): 321 doi: 10.1016/j.radonc.2018.04.015
14
S. Tavolaro, P. Mozer, M. Roupret, E. Comperat, F. Rozet, E. Barret, S. Drouin, C. Vaessen, O. Lucidarme, O. Cussenot, F. Boudghène, R. Renard-Penna. Transition zone and anterior stromal prostate cancers: Evaluation of discriminant location criteria using multiparametric fusion-guided biopsyDiagnostic and Interventional Imaging 2018; 99(6): 403 doi: 10.1016/j.diii.2018.01.006
15
Seyed Saeid Dianat, H. Ballentine Carter, Katarzyna J. Macura. Performance of multiparametric magnetic resonance imaging in the evaluation and management of clinically low-risk prostate cancerUrologic Oncology: Seminars and Original Investigations 2014; 32(1): 39.e1 doi: 10.1016/j.urolonc.2013.04.002
16
Zhaoyan Feng, Xiangde Min, Vivek Kumar Sah, Liang Li, Jie Cai, Ming Deng, Liang Wang. Comparison of field-of-view (FOV) optimized and constrained undistorted single shot (FOCUS) with conventional DWI for the evaluation of prostate cancerClinical Imaging 2015; 39(5): 851 doi: 10.1016/j.clinimag.2015.03.004
17
Yu Xuan Kitzing, Adilson Prando, Celi Varol, Gregory S. Karczmar, Fiona Maclean, Aytekin Oto. Benign Conditions That Mimic Prostate Carcinoma: MR Imaging Features with Histopathologic CorrelationRadioGraphics 2016; 36(1): 162 doi: 10.1148/rg.2016150030
18
Hasan Aydın, Volkan Kızılgöz, Berna Okudan Tekin. Overview of current multiparametric magnetic resonance imaging approach in the diagnosis and staging of prostate cancerThe Kaohsiung Journal of Medical Sciences 2015; 31(4): 167 doi: 10.1016/j.kjms.2015.01.002
19
Aritrick Chatterjee, Alexander J. Gallan, Dianning He, Xiaobing Fan, Devkumar Mustafi, Ambereen Yousuf, Tatjana Antic, Gregory S. Karczmar, Aytekin Oto. Revisiting quantitative multi-parametric MRI of benign prostatic hyperplasia and its differentiation from transition zone cancerAbdominal Radiology 2019; 44(6): 2233 doi: 10.1007/s00261-019-01936-1
20
Serkan Guneyli, Cemile Zuhal Erdem, Lutfi Oktay Erdem. Magnetic resonance imaging of prostate cancerClinical Imaging 2016; 40(4): 601 doi: 10.1016/j.clinimag.2016.02.011
21
Clifford Shin, Karthik Sundaram, Sandeep Arora. Magnetic Resonance Imaging of the Pelvis2023; : 113 doi: 10.1016/B978-0-323-89854-6.00015-6
22
Steve Y. Cho, Seyed S. Dianat, Katarzyna J. Macura. Management of Castration Resistant Prostate CancerCurrent Clinical Urology 2014; : 43 doi: 10.1007/978-1-4939-1176-9_4
23
Shoshana B. Ginsburg, Ahmad Algohary, Shivani Pahwa, Vikas Gulani, Lee Ponsky, Hannu J. Aronen, Peter J. Boström, Maret Böhm, Anne‐Maree Haynes, Phillip Brenner, Warick Delprado, James Thompson, Marley Pulbrock, Pekka Taimen, Robert Villani, Phillip Stricker, Ardeshir R. Rastinehad, Ivan Jambor, Anant Madabhushi. Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi‐institutional studyJournal of Magnetic Resonance Imaging 2017; 46(1): 184 doi: 10.1002/jmri.25562
24
Irene De la Parra, Juan Gómez Rivas, Beatriz Gutiérrez, María Jesús Marugán, Dmitry Enikeev, Bhaskar K. Somani, Jerónimo Barrera, Jesús Moreno-Sierra. The evolving landscape: magnetic resonance imaging in active surveillance for prostate cancer managementFrontiers in Urology 2024; 4 doi: 10.3389/fruro.2024.1329274
25
Thomas Hambrock, Pieter C. Vos, Christina A. Hulsbergen–van de Kaa, Jelle O. Barentsz, Henkjan J. Huisman. Prostate Cancer: Computer-aided Diagnosis with Multiparametric 3-T MR Imaging—Effect on Observer PerformanceRadiology 2013; 266(2): 521 doi: 10.1148/radiol.12111634
26
A.L. Chesnais, E. Niaf, F. Bratan, F. Mège-Lechevallier, S. Roche, M. Rabilloud, M. Colombel, O. Rouvière. Differentiation of transitional zone prostate cancer from benign hyperplasia nodules: Evaluation of discriminant criteria at multiparametric MRIClinical Radiology 2013; 68(6): e323 doi: 10.1016/j.crad.2013.01.018
27
Valeria Panebianco, Francesco Giganti, Yu Xuan Kitzing, François Cornud, Riccardo Campa, Gianluca De Rubeis, Antonio Ciardi, Carlo Catalano, Geert Villeirs. An update of pitfalls in prostate mpMRI: a practical approach through the lens of PI-RADS v. 2 guidelinesInsights into Imaging 2018; 9(1): 87 doi: 10.1007/s13244-017-0578-x
28
M. Boschheidgen, L. Schimmöller, C. Arsov, F. Ziayee, J. Morawitz, B. Valentin, K. L. Radke, M. Giessing, I. Esposito, P. Albers, G. Antoch, T. Ullrich. MRI grading for the prediction of prostate cancer aggressivenessEuropean Radiology 2022; 32(4): 2351 doi: 10.1007/s00330-021-08332-8
29
Andrew Murphy, Dalia Ibrahim. Radiopaedia.org2014;  doi: 10.53347/rID-29986
30
Melissa Treviño, Baris Turkbey, Bradford J. Wood, Peter A. Pinto, Marcin Czarniecki, Peter L. Choyke, Todd S. Horowitz. Rapid perceptual processing in two- and three-dimensional prostate imagesJournal of Medical Imaging 2020; 7(02): 1 doi: 10.1117/1.JMI.7.2.022406
31
Joseph N. Stember, Fang‐Ming Deng, Samir S. Taneja, Andrew B. Rosenkrantz. Pilot study of a novel tool for input‐free automated identification of transition zone prostate tumors using T2‐ and diffusion‐weighted signal and textural featuresJournal of Magnetic Resonance Imaging 2014; 40(2): 301 doi: 10.1002/jmri.24375
32
Muhammad Usman, Lebina Kakkar, Alex Kirkham, Simon Arridge, David Atkinson. Model‐based reconstruction framework for correction of signal pile‐up and geometric distortions in prostate diffusion MRIMagnetic Resonance in Medicine 2019; 81(3): 1979 doi: 10.1002/mrm.27547