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Cited by in CrossRef
For: Bittencourt LK, Attenberger UI, Lima D, Strecker R, Oliveira A, Schoenberg SO, Gasparetto EL, Hausmann D. Feasibility study of computed vs measured high b-value (1400 s/mm²) diffusion-weighted MR images of the prostate. World J Radiol 2014; 6(6): 374-380 [PMID: 24976938 DOI: 10.4329/wjr.v6.i6.374]
URL: https://www.wjgnet.com/1949-8470/full/v6/i6/374.htm
Number Citing Articles
1
Gang Huang, Yaqiong Cui, Ping Wang, Jialiang Ren, Lili Wang, Yaqiong Ma, Yingmei Jia, Xiaomei Ma, Lianping Zhao. Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space InvasionFrontiers in Oncology 2022; 11 doi: 10.3389/fonc.2021.663370
2
Minkyeong Kim, Tae Young Lee, Byeong Seong Kang, Woon Jung Kwon, Soyeoun Lim, Gyeong Min Park, Minseo Bang. Evaluating Biliary Malignancy with Measured and Calculated Ultra-high b-value Diffusion-weighted MR Imaging at 3TMagnetic Resonance in Medical Sciences 2024; 23(4): 428 doi: 10.2463/mrms.mp.2022-0144
3
Matthew D. Greer, Peter L. Choyke, Baris Turkbey. PI-RADSv2: How we do itJournal of Magnetic Resonance Imaging 2017; 46(1): 11 doi: 10.1002/jmri.25645
4
Barbara Daria Wichtmann, Frank Gerrit Zöllner, Ulrike Irmgard Attenberger, Stefan O. Schönberg. Multiparametric MRI in the Diagnosis of Prostate Cancer: Physical Foundations, Limitations, and Prospective Advances of Diffusion-Weighted MRIRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2021; 193(04): 399 doi: 10.1055/a-1276-1773
5
Yuma Waseda, Soichiro Yoshida, Taro Takahara, Thomas Christian Kwee, Yoh Matsuoka, Kazutaka Saito, Kazunori Kihara, Yasuhisa Fujii. Utility of computed diffusion‐weighted MRI for predicting aggressiveness of prostate cancerJournal of Magnetic Resonance Imaging 2017; 46(2): 490 doi: 10.1002/jmri.25593
6
Lei Hu, Da-wei Zhou, Yun-fei Zha, Liang Li, Huan He, Wen-hao Xu, Li Qian, Yi-kun Zhang, Cai-xia Fu, Hui Hu, Jun-gong Zhao. Synthesizing High-b-Value Diffusion–weighted Imaging of the Prostate Using Generative Adversarial NetworksRadiology: Artificial Intelligence 2021; 3(5): e200237 doi: 10.1148/ryai.2021200237
7
Andrei S. Purysko, Andrew B. Rosenkrantz. Technique of Multiparametric MR Imaging of the ProstateRadiologic Clinics of North America 2018; 56(2): 211 doi: 10.1016/j.rcl.2017.10.004
8
Shuai Ma, Kangjie Xu, Huihui Xie, Huihui Wang, Rui Wang, Xiaodong Zhang, Juan Wei, Xiaoying Wang. Diagnostic efficacy of b value (2000 s/mm2) diffusion-weighted imaging for prostate cancer: Comparison of a reduced field of view sequence and a conventional techniqueEuropean Journal of Radiology 2018; 107: 125 doi: 10.1016/j.ejrad.2018.08.028
9
Seung Soo Lee, Dong Hoon Lee, Won Hoon Song, Jong Kil Nam, Ji Yeon Han, Hyun Jung Lee, Tae Un Kim, Sung-Woo Park. Usefulness of Bi-Parametric Magnetic Resonance Imaging with b=1,800 s/mm2 Diffusion-Weighted Imaging for Diagnosing Clinically Significant Prostate CancerThe World Journal of Men's Health 2020; 38(3): 370 doi: 10.5534/wjmh.190079
10
Salma Jendoubi, Mathilde Wagner, Sarah Montagne, Malek Ezziane, Julien Mespoulet, Eva Comperat, Candice Estellat, Amandine Baptiste, Raphaele Renard-Penna. MRI for prostate cancer: can computed high b-value DWI replace native acquisitions?European Radiology 2019; 29(10): 5197 doi: 10.1007/s00330-019-06085-z
11
Karoline Kallis, Christopher C. Conlin, Allison Y. Zhong, Troy S. Hussain, Aritrick Chatterjee, Gregory S. Karczmar, Rebecca Rakow-Penner, Anders M. Dale, Tyler M. Seibert. Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancerCancer Imaging 2024; 24(1) doi: 10.1186/s40644-024-00723-6
12
Sebastian Werner, Dominik Zinsser, Michael Esser, Dominik Nickel, Konstantin Nikolaou, Ahmed E. Othman. Enhanced Image Processing Using Complex Averaging in Diffusion-Weighted Imaging of the Prostate: The Impact on Image Quality and Lesion DetectabilityDiagnostics 2023; 13(14): 2325 doi: 10.3390/diagnostics13142325
13
Felix N. Harder, Eva Jung, Sean McTavish, Anh Tu Van, Kilian Weiss, Sebastian Ziegelmayer, Joshua Gawlitza, Philip Gouder, Omar Kamal, Marcus R. Makowski, Fabian K. Lohöfer, Dimitrios C. Karampinos, Rickmer F. Braren. High-Resolution, High b-Value Computed Diffusion-Weighted Imaging Improves Detection of Pancreatic Ductal AdenocarcinomaCancers 2022; 14(3): 470 doi: 10.3390/cancers14030470
14
Thais C. Mussi, Ronaldo H. Baroni, Ronald J. Zagoria, Antonio C. Westphalen. Prostate magnetic resonance imaging techniqueAbdominal Radiology 2020; 45(7): 2109 doi: 10.1007/s00261-019-02308-5
15
Jung Hyun Park, Bo La Yun, Mijung Jang, Hye Shin Ahn, Sun Mi Kim, Soo Hyun Lee, Eunyoung Kang, Eun‐Kyu Kim, So Yeon Park. Comparison of the Diagnostic Performance of Synthetic Versus Acquired High b‐Value (1500 s/mm2) Diffusion‐Weighted MRI in Women With Breast CancersJournal of Magnetic Resonance Imaging 2019; 49(3): 857 doi: 10.1002/jmri.26259
16
H. Patel, F. Ahmed, L. Luk, B. Navot, H. Shaish. Impact of enema prep on the false-negative rate of a PI-RADS 1 MRI of the prostate for clinically significant prostate cancerAbdominal Radiology 2022; 47(7): 2494 doi: 10.1007/s00261-022-03547-9
17
Dow-Mu Koh, Jeong-Min Lee, Leonardo Kayat Bittencourt, Matthew Blackledge, David J. Collins. Body Diffusion-weighted MR Imaging in OncologyMagnetic Resonance Imaging Clinics of North America 2016; 24(1): 31 doi: 10.1016/j.mric.2015.08.007
18
Yoshihiko Fukukura, Yuichi Kumagae, Hiroto Hakamada, Toshikazu Shindo, Koji Takumi, Kiyoshisa Kamimura, Masanori Nakajo, Aya Umanodan, Takashi Yoshiura. Computed diffusion-weighted MR imaging for visualization of pancreatic adenocarcinoma: Comparison with acquired diffusion-weighted imagingEuropean Journal of Radiology 2017; 95: 39 doi: 10.1016/j.ejrad.2017.07.022
19
D. Hausmann, N. Aksöz, J. von Hardenberg, T. Martini, N. Westhoff, S. Buettner, S.O. Schoenberg, P. Riffel. Prostate cancer detection among readers with different degree of experience using ultra-high b-value diffusion-weighted Imaging: Is a non-contrast protocol sufficient to detect significant cancer?European Radiology 2018; 28(2): 869 doi: 10.1007/s00330-017-5004-8
20
Daniel Hausmann, Frank Gerrit Zoellner, Rahel A. Kubik‐Huch. Editorial for “Qualitative and Quantitative Reporting of a Unique Biparametric MRI: Towards Biparametric MRI‐Based Nomograms for Prediction of Prostate Biopsy Outcome in Men With a Clinical Suspicion of Prostate Cancer (IMPROD and MULTI‐IMPROD Trials)”Journal of Magnetic Resonance Imaging 2020; 51(5): 1568 doi: 10.1002/jmri.26980
21
Daniel Hausmann, Inga Todorski, Alexandra Pindur, Elisabeth Weiland, Thomas Benkert, Lars Bosshard, Michael Prummer, Rahel A. Kubik-Huch. Advanced Diffusion-Weighted Imaging Sequences for Breast MRI: Comprehensive Comparison of Improved Sequences and Ultra-High B-Values to Identify the Optimal CombinationDiagnostics 2023; 13(4): 607 doi: 10.3390/diagnostics13040607
22
Rajan T. Gupta, Thomas J. Polascik, Samir S. Taneja, Andrew B. Rosenkrantz. Recent Developments in Multiparametric Prostate MR ImagingCurrent Radiology Reports 2014; 2(12) doi: 10.1007/s40134-014-0074-8
23
Sadhna Verma, Saradwata Sarkar, Jason Young, Rajesh Venkataraman, Xu Yang, Anil Bhavsar, Nilesh Patil, James Donovan, Krishnanath Gaitonde. Evaluation of the impact of computed high b-value diffusion-weighted imaging on prostate cancer detectionAbdominal Radiology 2016; 41(5): 934 doi: 10.1007/s00261-015-0619-1
24
Bo Hwa Choi, Hye Jin Baek, Ji Young Ha, Kyeong Hwa Ryu, Jin Il Moon, Sung Eun Park, Kyungsoo Bae, Kyung Nyeo Jeon, Eun Jung Jung. Feasibility Study of Synthetic Diffusion-Weighted MRI in Patients with Breast Cancer in Comparison with Conventional Diffusion-Weighted MRIKorean Journal of Radiology 2020; 21(9): 1036 doi: 10.3348/kjr.2019.0568
25
Andrew B. Rosenkrantz, Nainesh Parikh, Andrea S. Kierans, Max Xiangtian Kong, James S. Babb, Samir S. Taneja, Justin M. Ream. Prostate Cancer Detection Using Computed Very High b-value Diffusion-weighted Imaging: How High Should We Go?Academic Radiology 2016; 23(6): 704 doi: 10.1016/j.acra.2016.02.003
26
Jianxing Qiu, Jing Liu, Zhongxu Bi, Xiaowei Sun, Xin Wang, Junling Zhang, Chengwen Liu, Jinxia Zhu, Naishan Qin. Integrated slice-specific dynamic shimming diffusion weighted imaging (DWI) for rectal Cancer detection and characterizationCancer Imaging 2021; 21(1) doi: 10.1186/s40644-021-00403-9
27
Yoshiko R. Ueno, Tsutomu Tamada, Satoru Takahashi, Utaru Tanaka, Keitaro Sofue, Tomonori Kanda, Munenobu Nogami, Yoshiharu Ohno, Nobuyuki Hinata, Masato Fujisawa, Takamichi Murakami. Computed Diffusion-Weighted Imaging in Prostate Cancer: Basics, Advantages, Cautions, and Future ProspectsKorean Journal of Radiology 2018; 19(5): 832 doi: 10.3348/kjr.2018.19.5.832
28
Kathleen M. Schmainda. Quantitative Imaging in Medicine2021; : 1-1 doi: 10.1063/9780735423558_001
29
Andrei S. Purysko, Andrew B. Rosenkrantz. Technique of Multiparametric MR Imaging of the ProstateUrologic Clinics of North America 2018; 45(3): 427 doi: 10.1016/j.ucl.2018.03.008
30
Lei Hu, Da wei Zhou, Cai xia Fu, Thomas Benkert, Chun yu Jiang, Rui ting Li, Li ming Wei, Jun gong Zhao. Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features studyEuropean Radiology 2021; 31(3): 1760 doi: 10.1007/s00330-020-07227-4
31
Samuel Borofsky, Shawn Haji-Momenian, Sheil Shah, Myles Taffel. Multiparametric MRI of the Prostate Gland: Technical AspectsFuture Oncology 2016; 12(21): 2445 doi: 10.2217/fon-2016-0218
32
Rika Yoshida, Takeshi Yoshizako, Takashi Katsube, Yukihisa Tamaki, Noriyoshi Ishikawa, Hajime Kitagaki. Computed diffusion-weighted imaging using 1.5-T magnetic resonance imaging for prostate cancer diagnosisClinical Imaging 2017; 41: 78 doi: 10.1016/j.clinimag.2016.10.005
33
Mrishta Brizmohun Appayya, Jim Adshead, Hashim U. Ahmed, Clare Allen, Alan Bainbridge, Tristan Barrett, Francesco Giganti, John Graham, Phil Haslam, Edward W. Johnston, Christof Kastner, Alexander P.S. Kirkham, Alexandra Lipton, Alan McNeill, Larissa Moniz, Caroline M. Moore, Ghulam Nabi, Anwar R. Padhani, Chris Parker, Amit Patel, Jacqueline Pursey, Jonathan Richenberg, John Staffurth, Jan van der Meulen, Darren Walls, Shonit Punwani. National implementation of multi‐parametric magnetic resonance imaging for prostate cancer detection – recommendations from a UK consensus meetingBJU International 2018; 122(1): 13 doi: 10.1111/bju.14361
34
D. Bonekamp, G. Salomon. Bildgebung im Rahmen der Primärdiagnostik beim lokal begrenzten ProstatakarzinomDer Urologe 2019; 58(5): 494 doi: 10.1007/s00120-019-0901-x
35
Tristan Barrett, Kang-Lung Lee, Maarten de Rooij, Francesco Giganti. Update on Optimization of Prostate MR Imaging Technique and Image QualityRadiologic Clinics of North America 2024; 62(1): 1 doi: 10.1016/j.rcl.2023.06.006
36
M. T. Freitag, S. Bickelhaupt, C. Ziener, K. Meier-Hein, J. P. Radtke, J. Mosebach, T.-A. Kuder, H.-P. Schlemmer, F. B. Laun. Ausgewählte klinisch etablierte und wissenschaftliche Techniken der diffusionsgewichteten MRTDer Radiologe 2016; 56(2): 137 doi: 10.1007/s00117-015-0066-6
37
Stefan Schönberg, Frank Gerrit Zöllner. MR- und PET-Bildgebung der Prostata2017; : 1 doi: 10.1007/978-3-662-50468-0_1
38
Hubert Bickel, Stephan H. Polanec, Georg Wengert, Katja Pinker, Wolfgang Bogner, Thomas H. Helbich, Pascal A. Baltzer. Diffusion‐Weighted MRI of Breast Cancer: Improved Lesion Visibility and Image Quality Using Synthetic b‐ValuesJournal of Magnetic Resonance Imaging 2019; 50(6): 1754 doi: 10.1002/jmri.26809
39
Seiya Kawahara, Hiroyoshi Isoda, Koji Fujimoto, Hironori Shimizu, Akihiro Furuta, Shigeki Arizono, Tsuyoshi Ohno, Rikiya Yamashita, Ayako Ono, Kaori Togashi. Additional benefit of computed diffusion-weighted imaging for detection of hepatic metastases at 1.5TClinical Imaging 2016; 40(3): 481 doi: 10.1016/j.clinimag.2015.12.007
40
Peigang Ning, Dapeng Shi, Geoffrey A. Sonn, Shreyas S. Vasanawala, Andreas M. Loening, Pejman Ghanouni, Piotr Obara, Lewis K. Shin, Richard E. Fan, Brian A. Hargreaves, Bruce L. Daniel. The impact of computed high b-value images on the diagnostic accuracy of DWI for prostate cancer: A receiver operating characteristics analysisScientific Reports 2018; 8(1) doi: 10.1038/s41598-018-21523-6
41
Ferdinand Seith, Petros Martirosian, Konstantin Nikolaou, Christian la Fougère, Nina Schwenzer, Holger Schmidt. Computed diffusion weighted imaging (cDWI) and voxelwise-computed diffusion weighted imaging (vcDWI) for oncologic liver imaging: A pilot studyEuropean Journal of Radiology Open 2018; 5: 108 doi: 10.1016/j.ejro.2018.07.004
42
Clifford Shin, Karthik Sundaram, Sandeep Arora. Magnetic Resonance Imaging of the Pelvis2023; : 113 doi: 10.1016/B978-0-323-89854-6.00015-6
43
Hamed Kordbacheh, Ravi Teja Seethamraju, Elisabeth Weiland, Berthold Kiefer, Marcel Dominik Nickel, Thitinan Chulroek, Martina Cecconi, Vinit Baliyan, Mukesh G. Harisinghani. Image quality and diagnostic accuracy of complex-averaged high b value images in diffusion-weighted MRI of prostate cancerAbdominal Radiology 2019; 44(6): 2244 doi: 10.1007/s00261-019-01961-0
44
Fernando Morbeck Almeida Coelho, Ronaldo Hueb Baroni. Strategies for improving image quality in prostate MRIAbdominal Radiology 2024; 49(12): 4556 doi: 10.1007/s00261-024-04396-4