Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (22328)
All Articles published online
|
Publishing Process of This Article
|
Jan 28, 2016 (publication date) through Jul 17, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Radiology
ISSN
1949-8470
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Jafar MM, Parsai A, Miquel ME. Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in-vitro and in-vivo reproducibility. World J Radiol 2016; 8(1): 21-49 [PMID: 26834942 DOI: 10.4329/wjr.v8.i1.21] |
|---|---|
| URL: | https://www.wjgnet.com/1949-8470/full/v8/i1/21.htm |
| Number | Citing Articles |
| 1 |
Deepanshi Dhar, Komal Raina, Rama Kant, Michael F Wempe, Natalie J Serkova, Chapla Agarwal, Rajesh Agarwal. Bitter melon juice-intake modulates glucose metabolism and lactate efflux in tumors in its efficacy against pancreatic cancer. Carcinogenesis 2019; doi: 10.1093/carcin/bgz114
|
| 2 |
Claus Dam, Jan Lindebjerg, Anders Jakobsen, Lars Henrik Jensen, Hans Rahr, Søren Rafael Rafaelsen. Local staging of sigmoid colon cancer using MRI. Acta Radiologica Open 2017; 6(7): 205846011772095 doi: 10.1177/2058460117720957
|
| 3 |
T. Martín Noguerol, J.P. Martínez Barbero. Advanced diffusion MRI and biomarkers in the central nervous system: A new approach. Radiología (English Edition) 2017; 59(4): 273 doi: 10.1016/j.rxeng.2017.04.001
|
| 4 |
Zhi-Min Ye, Shu-Jun Dai, Feng-Qin Yan, Lei Wang, Jun Fang, Zhen-Fu Fu, Yue-Zhen Wang. DCE-MRI-Derived Volume Transfer Constant (Ktrans) and DWI Apparent Diffusion Coefficient as Predictive Markers of Short- and Long-Term Efficacy of Chemoradiotherapy in Patients With Esophageal Cancer. Technology in Cancer Research & Treatment 2018; 17: 153303461876525 doi: 10.1177/1533034618765254
|
| 5 |
Antonio C. Westphalen, Farhad Fazel, Hao Nguyen, Miguel Cabarrus, Katryana Hanley-Knutson, Katsuto Shinohara, Peter R. Carroll. Detection of clinically significant prostate cancer with PI-RADS v2 scores, PSA density, and ADC values in regions with and without mpMRI visible lesions. International braz j urol 2019; 45(4): 713 doi: 10.1590/s1677-5538.ibju.2018.0768
|
| 6 |
Derk J. Slotman, Lambertus W. Bartels, Aylene Zijlstra, Inez M. Verpalen, Jochen A. C. van Osch, Ingrid M. Nijholt, Edwin Heijman, Miranda van ‘t Veer-ten Kate, Erwin de Boer, Rolf D. van den Hoed, Martijn Froeling, Martijn F. Boomsma. Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids. European Radiology 2022; 33(6): 4178 doi: 10.1007/s00330-022-09294-1
|
| 7 |
Ullrich G. Mueller-Lisse, Sophie Murer, Ulrike L. Mueller-Lisse, Marissa Kuhn, Juergen Scheidler, Michael Scherr. Everyman’s prostate phantom: kiwi-fruit substitute for human prostates at magnetic resonance imaging, diffusion-weighted imaging and magnetic resonance spectroscopy. European Radiology 2017; 27(8): 3362 doi: 10.1007/s00330-016-4706-7
|
| 8 |
A Haworth, Y Sun, M Ebert, H Reynolds, J Betts, D Wraith, C Mitchell, D Murphy, B Parameswaran, S Williams. Use of contemporary prostate brachytherapy approaches in clinical trials. Journal of Physics: Conference Series 2019; 1154: 012010 doi: 10.1088/1742-6596/1154/1/012010
|
| 9 |
I. Sulieman, S. Mohamed, W. Elmoghazy, A. Alaboudy, H. Khalaf, A. Elaffandi. The value of diffusion-weighted imaging in diagnosing gallbladder malignancy: performance of a new parameter. Clinical Radiology 2021; 76(9): 709.e7 doi: 10.1016/j.crad.2021.05.010
|
| 10 |
Remy Klaassen, Oliver J. Gurney-Champion, Marc R.W. Engelbrecht, Jaap Stoker, Johanna W. Wilmink, Marc G. Besselink, Arjan Bel, Geertjan van Tienhoven, Hanneke W.M. van Laarhoven, Aart J. Nederveen. Evaluation of Six Diffusion-weighted MRI Models for Assessing Effects of Neoadjuvant Chemoradiation in Pancreatic Cancer Patients. International Journal of Radiation Oncology*Biology*Physics 2018; 102(4): 1052 doi: 10.1016/j.ijrobp.2018.04.064
|
| 11 |
Elisa Roccia, Radhouene Neji, Thomas Benkert, Berthold Kiefer, Vicky Goh, Isabel Dregely. Distortion‐free 3D diffusion imaging of the prostate using a multishot diffusion‐prepared phase‐cycled acquisition and dictionary matching. Magnetic Resonance in Medicine 2021; 85(3): 1441 doi: 10.1002/mrm.28527
|
| 12 |
Catherine Coolens, Matt N. Gwilliam, Paula Alcaide-Leon, Isabella Maria de Freitas Faria, Fabio Ynoe de Moraes. Transformational Role of Medical Imaging in (Radiation) Oncology. Cancers 2021; 13(11): 2557 doi: 10.3390/cancers13112557
|
| 13 |
Nicolas F. Michoux, Jakub W. Ceranka, Jef Vandemeulebroucke, Frank Peeters, Pierre Lu, Julie Absil, Perrine Triqueneaux, Yan Liu, Laurence Collette, Inneke Willekens, Carola Brussaard, Olivier Debeir, Stephan Hahn, Hubert Raeymaekers, Johan de Mey, Thierry Metens, Frédéric E. Lecouvet. Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study. European Radiology 2021; 31(7): 4514 doi: 10.1007/s00330-020-07522-0
|
| 14 |
Yang Li, Xiaohua Su, Yuguang Shang, Hui Liu, Weishuai Wang, Andu Zhang, Gaofeng Shi. Comparative evaluation of imaging methods for prognosis assessment in esophageal squamous cell carcinoma: focus on diffusion-weighted magnetic resonance imaging, computed tomography and esophagography. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1397266
|
| 15 |
Petra J. van Houdt, Jesper F. Kallehauge, Kari Tanderup, Remi Nout, Marko Zaletelj, Tony Tadic, Zdenko J. van Kesteren, Cornelius A.T. van den Berg, Dietmar Georg, Jean-Charles Côté, Ives R. Levesque, Jamema Swamidas, Eirik Malinen, Sven Telliskivi, Patrik Brynolfsson, Faisal Mahmood, Uulke A. van der Heide. Phantom-based quality assurance for multicenter quantitative MRI in locally advanced cervical cancer. Radiotherapy and Oncology 2020; 153: 114 doi: 10.1016/j.radonc.2020.09.013
|
| 16 |
Jian Wang, Chao Ma, Panpan Yang, Zhen Wang, Yufei Chen, Yun Bian, Chengwei Shao, Jianping Lu. Diffusion‐Weighted Imaging of the Abdomen: Correction for Gradient Nonlinearity Bias in Apparent Diffusion Coefficient. Journal of Magnetic Resonance Imaging 2023; 58(1): 223 doi: 10.1002/jmri.28529
|
| 17 |
Nuno Adubeiro, Maria Luísa Nogueira, Rita G. Nunes, Hugo Alexandre Ferreira, Eduardo Ribeiro, José Maria Ferreira La Fuente. Apparent diffusion coefficient in the analysis of prostate cancer: determination of optimal b-value pair to differentiate normal from malignant tissue. Clinical Imaging 2018; 47: 90 doi: 10.1016/j.clinimag.2017.09.004
|
| 18 |
Marco Bologna, Valentina D. A. Corino, Eros Montin, Antonella Messina, Giuseppina Calareso, Francesca G. Greco, Silvana Sdao, Luca T. Mainardi. Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images. Journal of Digital Imaging 2018; 31(6): 879 doi: 10.1007/s10278-018-0092-9
|
| 19 |
Brian D. Ross, Thomas L. Chenevert. Molecular Imaging. 2021; : 1091 doi: 10.1016/B978-0-12-816386-3.00068-5
|
| 20 |
Madeleine Sertic, Aoife Kilcoyne, Onofrio Antonio Catalano, Susanna I. Lee. Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT. Abdominal Radiology 2021; 47(9): 3174 doi: 10.1007/s00261-021-03218-1
|
| 21 |
Cavar Marija, Dolic Kresimir, Barcot Ognjen, Peric Iva, Kunac Nenad, Boric Matija. Estimation of colon cancer grade and metastatic lymph node involvement using DWI/ADC sequences. Acta Radiologica 2023; 64(4): 1341 doi: 10.1177/02841851221130008
|
| 22 |
Petra J. van Houdt, Harsh K. Agarwal, Laurens D. van Buuren, Stijn W.T.P.J. Heijmink, Søren Haack, Henk G. van der Poel, Ghazaleh Ghobadi, Floris J. Pos, Johannes M. Peeters, Peter L. Choyke, Uulke A. van der Heide. Performance of a fast and high‐resolution multi‐echo spin‐echo sequence for prostate T2 mapping across multiple systems. Magnetic Resonance in Medicine 2018; 79(3): 1586 doi: 10.1002/mrm.26816
|
| 23 |
J.E. Mongula, F. Bakers, B.F.M. Slangen, S.M.J. van Kuijk, R.F.P.M. Kruitwagen, C. Mihl. Evaluation of various apparent diffusion coefficient measurement techniques in pre-operative staging of early cervical carcinoma. European Journal of Radiology 2019; 118: 101 doi: 10.1016/j.ejrad.2019.06.021
|
| 24 |
Amita Shukla‐Dave, Nancy A. Obuchowski, Thomas L. Chenevert, Sachin Jambawalikar, Lawrence H. Schwartz, Dariya Malyarenko, Wei Huang, Susan M. Noworolski, Robert J. Young, Mark S. Shiroishi, Harrison Kim, Catherine Coolens, Hendrik Laue, Caroline Chung, Mark Rosen, Michael Boss, Edward F. Jackson. Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials. Journal of Magnetic Resonance Imaging 2019; 49(7) doi: 10.1002/jmri.26518
|
| 25 |
T. Martín Noguerol, J.P. Martínez Barbero. RM-Difusión avanzada y biomarcadores en el sistema nervioso central: un nuevo enfoque. Radiología 2017; 59(4): 273 doi: 10.1016/j.rx.2017.04.009
|
| 26 |
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 meeting. BJU International 2018; 122(1): 13 doi: 10.1111/bju.14361
|
| 27 |
Akifumi Hagiwara, Shohei Fujita, Yoshiharu Ohno, Shigeki Aoki. Variability and Standardization of Quantitative Imaging. Investigative Radiology 2020; 55(9): 601 doi: 10.1097/RLI.0000000000000666
|
| 28 |
Valentina D.A. Corino, Eros Montin, Antonella Messina, Paolo G. Casali, Alessandro Gronchi, Alfonso Marchianò, Luca T. Mainardi. Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high‐grade lesions. Journal of Magnetic Resonance Imaging 2018; 47(3): 829 doi: 10.1002/jmri.25791
|
| 29 |
Prativa Sahoo, Russell C. Rockne, Alexander Jung, Pradeep K Gupta, Ram K. S. Rathore, Rakesh K. Gupta. Synthetic Apparent Diffusion Coefficient for High b-Value Diffusion-Weighted MRI in Prostate. Prostate Cancer 2020; 2020: 1 doi: 10.1155/2020/5091218
|
| 30 |
Au Hoang-Dinh, Trung Nguyen-Quang, Lenh Bui-Van, Christelle Gonindard-Melodelima, Rémi Souchon, Olivier Rouvière. Reproducibility of apparent diffusion coefficient measurement in normal prostate peripheral zone at 1.5T MRI. Diagnostic and Interventional Imaging 2022; 103(11): 545 doi: 10.1016/j.diii.2022.06.001
|
| 31 |
Shangyuan Ye, Jeong Youn Lim, Wei Huang. Statistical considerations for repeatability and reproducibility of quantitative imaging biomarkers. BJR|Open 2022; 4(1) doi: 10.1259/bjro.20210083
|
| 32 |
Zelda Paquier, Shih-Li Chao, Giacomo Bregni, Ana Veron Sanchez, Thomas Guiot, Jennifer Dhont, Akos Gulyban, Hugo Levillain, Francesco Sclafani, Nick Reynaert, Maria Antonietta Bali. Pre-trial quality assurance of diffusion-weighted MRI for radiomic analysis and the role of harmonisation. Physica Medica 2022; 103: 138 doi: 10.1016/j.ejmp.2022.10.009
|
| 33 |
Sungmin Woo, Sang Youn Kim, Jeong Yeon Cho, Seung Hyup Kim. Apparent diffusion coefficient for prediction of parametrial invasion in cervical cancer: a critical evaluation based on stratification to a Likert scale using T2-weighted imaging. La radiologia medica 2018; 123(3): 209 doi: 10.1007/s11547-017-0823-x
|
| 34 |
Andriy Fedorov, Mark G. Vangel, Clare M. Tempany, Fiona M. Fennessy. Multiparametric Magnetic Resonance Imaging of the Prostate. Investigative Radiology 2017; 52(9): 538 doi: 10.1097/RLI.0000000000000382
|
| 35 |
Rita G. Nunes, Luísa Nogueira, Andreia S. Gaspar, Nuno Adubeiro, Sofia Brandão. Computational Diffusion MRI. Mathematics and Visualization 2019; : 227 doi: 10.1007/978-3-030-05831-9_19
|
| 36 |
Mickael Tordjman, Rahul Mali, Guillaume Madelin, Vinay Prabhu, Stella K. Kang. Diagnostic test accuracy of ADC values for identification of clear cell renal cell carcinoma: systematic review and meta-analysis. European Radiology 2020; 30(7): 4023 doi: 10.1007/s00330-020-06740-w
|
| 37 |
Hongyu Gu, Wenjing Cui, Song Luo, Xiaoyi Deng, Fahd Abd Algalil. Diagnostic Performance of Diffusion Kurtosis Imaging for Benign and Malignant Breast Lesions: A Systematic Review and Meta-Analysis. Applied Bionics and Biomechanics 2022; 2022: 1 doi: 10.1155/2022/2042736
|
| 38 |
Isabel Dregely, Davide Prezzi, Christian Kelly‐Morland, Elisa Roccia, Radhouene Neji, Vicky Goh. Imaging biomarkers in oncology: Basics and application to MRI. Journal of Magnetic Resonance Imaging 2018; 48(1): 13 doi: 10.1002/jmri.26058
|
| 39 |
Joshua M. Goldenberg, Julio Cárdenas‐Rodríguez, Mark D. Pagel. Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI. Magnetic Resonance in Medicine 2019; 81(1): 594 doi: 10.1002/mrm.27439
|
| 40 |
Ryan L. Brunsing, Natalie M. Schenker-Ahmed, Nathan S. White, J. Kellogg Parsons, Christopher Kane, Joshua Kuperman, Hauke Bartsch, Andrew Karim Kader, Rebecca Rakow-Penner, Tyler M. Seibert, Daniel Margolis, Steven S. Raman, Carrie R. McDonald, Nikdokht Farid, Santosh Kesari, Donna Hansel, Ahmed Shabaik, Anders M. Dale, David S. Karow. Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI. Journal of Magnetic Resonance Imaging 2017; 45(2): 323 doi: 10.1002/jmri.25419
|
| 41 |
Jakob Albrecht, Dietrich Polenz, Anja A. Kühl, Julian M. M. Rogasch, Annekatrin Leder, Igor M. Sauer, Magor Babos, Gabor Mócsai, Nicola Beindorff, Ingo G. Steffen, Winfried Brenner, Eva J. Koziolek. Diffusion-weighted magnetic resonance imaging using a preclinical 1 T PET/MRI in healthy and tumor-bearing rats. EJNMMI Research 2019; 9(1) doi: 10.1186/s13550-019-0489-6
|