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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 cancerCarcinogenesis 2019;  doi: 10.1093/carcin/bgz114
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Claus Dam, Jan Lindebjerg, Anders Jakobsen, Lars Henrik Jensen, Hans Rahr, Søren Rafael Rafaelsen. Local staging of sigmoid colon cancer using MRIActa Radiologica Open 2017; 6(7) doi: 10.1177/2058460117720957
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T. Martín Noguerol, J.P. Martínez Barbero. Advanced diffusion MRI and biomarkers in the central nervous system: A new approachRadiología (English Edition) 2017; 59(4) doi: 10.1016/j.rxeng.2017.04.001
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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 CancerTechnology in Cancer Research & Treatment 2018; 17 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 lesionsInternational braz j urol 2019; 45(4) 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 fibroidsEuropean Radiology 2022; 33(6) 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 spectroscopyEuropean Radiology 2017; 27(8) 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 trialsJournal of Physics: Conference Series 2019; 1154 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 parameterClinical Radiology 2021; 76(9) doi: 10.1016/j.crad.2021.05.010
10
Chris Moore, Charlotte Bull, Angela Darekar, Daniel Wilson, Alex Goodall, Prakash Manoharan, Peter Hoskin, Marcel van Herk, David L. Buckley, Damien J. McHugh, Anubhav Datta, Michael J. Dubec. Multi-institution longitudinal apparent diffusion coefficient measurements in a diffusion weighted imaging phantom at room temperaturePhysics and Imaging in Radiation Oncology 2025; 35 doi: 10.1016/j.phro.2025.100814
11
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 PatientsInternational Journal of Radiation Oncology*Biology*Physics 2018; 102(4) doi: 10.1016/j.ijrobp.2018.04.064
12
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 matchingMagnetic Resonance in Medicine 2021; 85(3) doi: 10.1002/mrm.28527
13
Mohammad Hossein Jamshidi, Ali Fatemi, Aida Karami, Sepehr Ghanavati, Durjoy D. Dhruba, Mohammad H. Negarestanian. Optimizing Multiparametric MRI Protocols for Prostate Cancer Detection: A Comprehensive Assessment Aligned with PI‐RADS GuidelinesHealth Science Reports 2024; 7(11) doi: 10.1002/hsr2.70172
14
Catherine Coolens, Matt N. Gwilliam, Paula Alcaide-Leon, Isabella Maria de Freitas Faria, Fabio Ynoe de Moraes. Transformational Role of Medical Imaging in (Radiation) OncologyCancers 2021; 13(11) doi: 10.3390/cancers13112557
15
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 studyEuropean Radiology 2021; 31(7) doi: 10.1007/s00330-020-07522-0
16
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 esophagographyFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1397266
17
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 cancerRadiotherapy and Oncology 2020; 153 doi: 10.1016/j.radonc.2020.09.013
18
Mahad Rehman, Shyam Ramachandran, Muaz Wahid, Aayush Sharma, Majid Chalian, Gitanjali Bajaj, Jim S Wu, Hillary Garner, Jonathan Samet, Shivani Ahlawat, Kambiz Motamedi, Ty Subhawong, Mark Murphey, Avneesh Chhabra. MRI findings for differentiating benign and malignant soft tissue tumors: a narrative review- Part 1: diagnostic performanceSkeletal Radiology 2026;  doi: 10.1007/s00256-026-05223-1
19
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 CoefficientJournal of Magnetic Resonance Imaging 2023; 58(1) doi: 10.1002/jmri.28529
20
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 tissueClinical Imaging 2018; 47 doi: 10.1016/j.clinimag.2017.09.004
21
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 ImagesJournal of Digital Imaging 2018; 31(6) doi: 10.1007/s10278-018-0092-9
22
Brian D. Ross, Thomas L. Chenevert. Molecular Imaging2021;  doi: 10.1016/B978-0-12-816386-3.00068-5
23
Madeleine Sertic, Aoife Kilcoyne, Onofrio Antonio Catalano, Susanna I. Lee. Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CTAbdominal Radiology 2021; 47(9) doi: 10.1007/s00261-021-03218-1
24
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 sequencesActa Radiologica 2023; 64(4) doi: 10.1177/02841851221130008
25
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 systemsMagnetic Resonance in Medicine 2018; 79(3) doi: 10.1002/mrm.26816
26
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 carcinomaEuropean Journal of Radiology 2019; 118 doi: 10.1016/j.ejrad.2019.06.021
27
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 trialsJournal of Magnetic Resonance Imaging 2019; 49(7) doi: 10.1002/jmri.26518
28
T. Martín Noguerol, J.P. Martínez Barbero. RM-Difusión avanzada y biomarcadores en el sistema nervioso central: un nuevo enfoqueRadiología 2017; 59(4) doi: 10.1016/j.rx.2017.04.009
29
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) doi: 10.1111/bju.14361
30
Akifumi Hagiwara, Shohei Fujita, Yoshiharu Ohno, Shigeki Aoki. Variability and Standardization of Quantitative ImagingInvestigative Radiology 2020; 55(9) doi: 10.1097/RLI.0000000000000666
31
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 lesionsJournal of Magnetic Resonance Imaging 2018; 47(3) doi: 10.1002/jmri.25791
32
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 ProstateProstate Cancer 2020; 2020 doi: 10.1155/2020/5091218
33
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 MRIDiagnostic and Interventional Imaging 2022; 103(11) doi: 10.1016/j.diii.2022.06.001
34
Shangyuan Ye, Jeong Youn Lim, Wei Huang. Statistical considerations for repeatability and reproducibility of quantitative imaging biomarkersBJR|Open 2022; 4(1) doi: 10.1259/bjro.20210083
35
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 harmonisationPhysica Medica 2022; 103 doi: 10.1016/j.ejmp.2022.10.009
36
Jie Deng, Sirisha Tadimalla, Tyler M Seibert, H Michael Gach, Petra J van Houdt, David A Hormuth Ii, Xun Jia, Jiaren Zou, Christopher C Conlin, Muge Karaman, Junzhong Xu, Jill B De Vis, Lise Wei, Anna M Dornisch, Joseph Weygand, Yu-Feng Wang, Daniela Thorwarth, Xiaohong Joe Zhou, John C Gore, Xiaoyu Jiang, Taeho Kim, Annette Haworth, Heiko Enderling, Caroline Chung, Thomas E Yankeelov. The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmapPhysics in Medicine & Biology 2026; 71(10) doi: 10.1088/1361-6560/ae5d80
37
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 imagingLa radiologia medica 2018; 123(3) doi: 10.1007/s11547-017-0823-x
38
Dan Zhao, Xiangchuang Kong, Kun Yang, Jiayu Wan, Ziyi Liu, Feng Pan, Peng Sun, Chuansheng Zheng, Lian Yang. Deep learning-enhanced super-resolution diffusion-weighted liver MRI: improved image quality, diagnostic performance, and accelerationInsights into Imaging 2025; 16(1) doi: 10.1186/s13244-025-02150-y
39
Andriy Fedorov, Mark G. Vangel, Clare M. Tempany, Fiona M. Fennessy. Multiparametric Magnetic Resonance Imaging of the ProstateInvestigative Radiology 2017; 52(9) doi: 10.1097/RLI.0000000000000382
40
Rita G. Nunes, Luísa Nogueira, Andreia S. Gaspar, Nuno Adubeiro, Sofia Brandão. Computational Diffusion MRIMathematics and Visualization 2019;  doi: 10.1007/978-3-030-05831-9_19
41
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-analysisEuropean Radiology 2020; 30(7) doi: 10.1007/s00330-020-06740-w
42
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-AnalysisApplied Bionics and Biomechanics 2022; 2022 doi: 10.1155/2022/2042736
43
Isabel Dregely, Davide Prezzi, Christian Kelly‐Morland, Elisa Roccia, Radhouene Neji, Vicky Goh. Imaging biomarkers in oncology: Basics and application to MRIJournal of Magnetic Resonance Imaging 2018; 48(1) doi: 10.1002/jmri.26058
44
Joshua M. Goldenberg, Julio Cárdenas‐Rodríguez, Mark D. Pagel. Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRIMagnetic Resonance in Medicine 2019; 81(1) doi: 10.1002/mrm.27439
45
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 MRIJournal of Magnetic Resonance Imaging 2017; 45(2) doi: 10.1002/jmri.25419
46
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 ratsEJNMMI Research 2019; 9(1) doi: 10.1186/s13550-019-0489-6