| For: | Cai G, Xu Y, Zhu J, Gu WL, Zhang S, Ma XJ, Cai SJ, Zhang Z. Diffusion-weighted magnetic resonance imaging for predicting the response of rectal cancer to neoadjuvant concurrent chemoradiation. World J Gastroenterol 2013; 19(33): 5520-5527 [PMID: 24023496 DOI: 10.3748/wjg.v19.i33.5520] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v19/i33/5520.htm |
| Number | Citing Articles |
| 1 |
S Nougaret, F Castan, H Forges, H A Vargas, B Gallix, S Gourgou, P Rouanet, E Rullier, B Lelong, P Maingon, J-J Tuech, D Pezet, M Rivoire, B Meunier, J Loriau, A Valverde, J-M Fabre, M Prudhomme, E Cotte, G Portier, L Quero, B Gallix, C Lemanski, M Ychou, F Bibeau. Early MRI predictors of disease-free survival in locally advanced rectal cancer from the GRECCAR 4 trial. British Journal of Surgery 2019; 106(11) doi: 10.1002/bjs.11233
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| 2 |
F. De Felice, A.L. Magnante, D. Musio, M. Ciolina, C.N. De Cecco, M. Rengo, A. Laghi, V. Tombolini. Diffusion-weighted magnetic resonance imaging in locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy. European Journal of Surgical Oncology (EJSO) 2017; 43(7) doi: 10.1016/j.ejso.2017.03.010
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| 3 |
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 characterization. Cancer Imaging 2021; 21(1) doi: 10.1186/s40644-021-00403-9
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| 4 |
Nicola Tarallo, Maria Gloria Angeretti, Elena Bracchi, Genti Xhepa, Valeria Molinelli, Chiara Tagliaferri, Paolo Antognoni, Raffaele Novario, Fausto Sessa, Carlo Fugazzola. Magnetic resonance imaging in locally advanced rectal cancer: quantitative evaluation of the complete response to neoadjuvant therapy. Polish Journal of Radiology 2018; 83 doi: 10.5114/pjr.2018.81156
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| 5 |
Paul B. Romesser, Neelam Tyagi, Christopher H. Crane. Magnetic Resonance Imaging-Guided Adaptive Radiotherapy for Colorectal Liver Metastases. Cancers 2021; 13(7) doi: 10.3390/cancers13071636
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| 6 |
Johanna A. Hundvin, Jonas Habrich, Cihan Gani, Jörg Assmus, Inger Marie Løes, Sara Pilskog, Kathrine R. Redalen, Daniela Thorwarth. Early response prediction during radiotherapy in rectal cancer using sequential diffusion-weighted imaging at a magnetic resonance image-guided linear accelerator. Physics and Imaging in Radiation Oncology 2025; 36 doi: 10.1016/j.phro.2025.100846
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| 7 |
Piet Dirix, Karin Haustermans, Vincent Vandecaveye. The Value of Magnetic Resonance Imaging for Radiotherapy Planning. Seminars in Radiation Oncology 2014; 24(3) doi: 10.1016/j.semradonc.2014.02.003
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| 8 |
Narek Shaverdian, Yingli Yang, Peng Hu, Steven Hart, Ke Sheng, James Lamb, Minsong Cao, Nzhde Agazaryan, David Thomas, Michael Steinberg, Daniel A Low, Percy Lee. Feasibility evaluation of diffusion-weighted imaging using an integrated MRI-radiotherapy system for response assessment to neoadjuvant therapy in rectal cancer. The British Journal of Radiology 2017; 90(1071) doi: 10.1259/bjr.20160739
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| 9 |
Alexey Surov, Hans Jonas Meyer, Anne-Kathrin Höhn, Curd Behrmann, Andreas Wienke, Rolf Peter Spielmann, Nikita Garnov. Correlations between intravoxel incoherent motion (IVIM) parameters and histological findings in rectal cancer: preliminary results. Oncotarget 2017; 8(13) doi: 10.18632/oncotarget.15753
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| 10 |
Andreas M. Hötker, Julio Garcia-Aguilar, Marc J. Gollub. Multiparametric MRI of Rectal Cancer in the Assessment of Response to Therapy. Diseases of the Colon & Rectum 2014; 57(6) doi: 10.1097/DCR.0000000000000127
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| 11 |
Hai-Bin Zhu, Xiao-Yan Zhang, Xiao-Hong Zhou, Xiao-Ting Li, Yu-Liang Liu, Shuai Wang, Ying-Shi Sun. Assessment of pathological complete response to preoperative chemoradiotherapy by means of multiple mathematical models of diffusion-weighted MRI in locally advanced rectal cancer: A prospective single-center study. Journal of Magnetic Resonance Imaging 2017; 46(1) doi: 10.1002/jmri.25567
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| 12 |
Ulrike I. Attenberger, Ralf D. Hofheinz, Barbara D. Wichtmann. MRT-basierte Chirurgie des Rektumkarzinoms. 2020; doi: 10.1007/978-3-662-58159-9_9
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| 13 |
Guillermo P. Sangster, David H. Ballard, Miguel Nazar, Richard Tsai, Maren Donato, Horacio B. D'Agostino. Multimodality Imaging Review of Anorectal and Perirectal Diseases With Histological, Endoscopic, and Operative Correlation, Part I: Anatomy and Neoplasms. Current Problems in Diagnostic Radiology 2019; 48(5) doi: 10.1067/j.cpradiol.2018.07.015
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| 14 |
Pilar Adriana Torres-Mesa, Ricardo Oliveros, Jorge Mesa, Natalia Olaya, Ricardo Sánchez. Desenlaces del manejo no quirúrgico posterior a neoadyuvancia del cáncer localmente avanzado de recto. Revista Colombiana de Cancerología 2014; 18(3) doi: 10.1016/j.rccan.2014.05.003
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| 15 |
Rania A. Marouf, Mary Y. Tadros, Tarek Y. Ahmed. Value of diffusion-weighted MR imaging in assessing response of neoadjuvant chemo and radiation therapy in locally advanced rectal cancer. The Egyptian Journal of Radiology and Nuclear Medicine 2015; 46(3) doi: 10.1016/j.ejrnm.2015.03.005
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| 16 |
Maria Napoletano, Daniele Mazzucca, Enrico Prosperi, Maria Cristina Aisa, Marco Lupattelli, Cynthia Aristei, Michele Scialpi. Locally advanced rectal cancer: qualitative and quantitative evaluation of diffusion-weighted magnetic resonance imaging in restaging after neoadjuvant chemo-radiotherapy. Abdominal Radiology 2019; 44(11) doi: 10.1007/s00261-019-02012-4
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| 17 |
Barbara D. Wichtmann, Steffen Albert, Wenzhao Zhao, Angelika Maurer, Claus Rödel, Ralf-Dieter Hofheinz, Jürgen Hesser, Frank G. Zöllner, Ulrike I. Attenberger. Are We There Yet? The Value of Deep Learning in a Multicenter Setting for Response Prediction of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy. Diagnostics 2022; 12(7) doi: 10.3390/diagnostics12071601
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| 18 |
Luís Curvo-Semedo. Usefulness of diffusion-weighted MRI in the characterization and assessment of response to neoadjuvant therapy in rectal cancer. Imaging in Medicine 2014; 6(1) doi: 10.2217/iim.13.72
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| 19 |
Kumar Sandrasegaran. Functional MR Imaging of the Abdomen. Radiologic Clinics of North America 2014; 52(4) doi: 10.1016/j.rcl.2014.02.018
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| 20 |
Adam Gladwish, Kathy Han. Increasing the Therapeutic Ratio of Radiotherapy. Cancer Drug Discovery and Development 2017; doi: 10.1007/978-3-319-40854-5_9
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| 21 |
Haiting Xie, Tao Sun, Ming Chen, Hao Wang, Xin Zhou, Yunkai Zhang, Huanhong Zeng, Jilian Wang, Wei Fu. Effectiveness of the Apparent Diffusion Coefficient for Predicting the Response to Chemoradiation Therapy in Locally Advanced Rectal Cancer. Medicine 2015; 94(6) doi: 10.1097/MD.0000000000000517
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| 22 |
Niels W. Schurink, Doenja M.J. Lambregts, Regina G.H. Beets-Tan. Diffusion-weighted imaging in rectal cancer: current applications and future perspectives. The British Journal of Radiology 2019; 92(1096) doi: 10.1259/bjr.20180655
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| 23 |
Nathan Hearn, Alexandria Leppien, Patrick O’Connor, Katelyn Cahill, Daisy Atwell, Dinesh Vignarajah, Myo Min. Radiotherapy dose escalation using pre-treatment diffusion-weighted imaging in locally advanced rectal cancer: a planning study. BJR|Open 2023; 6(1) doi: 10.1093/bjro/tzad001
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| 24 |
Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori, Antonella Petrillo. Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis. Applied Sciences 2020; 10(23) doi: 10.3390/app10238609
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| 25 |
Elísabet González Del Portillo, Felipe Couñago, Fernando López-Campos. Neoadjuvant treatment of rectal cancer: Where we are and where we are going. World Journal of Clinical Oncology 2024; 15(7): 790-795 doi: 10.5306/wjco.v15.i7.790
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| 26 |
Silvia Girolama Drago, Cesare Maino, Teresa Paola Giandola, Paolo Niccolò Franco, Rocco Corso, Cammillo Talei Franzesi, Anna Pecorelli, Davide Ippolito. Correlations between Apparent Diffusion Coefficient (ADC) and Prognosis in Patients with Locally Advanced Rectal Cancer. Life 2024; 14(10) doi: 10.3390/life14101282
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| 27 |
Sergio Grosu, Arnd-Oliver Schäfer, Tobias Baumann, Philipp Manegold, Mathias Langer, Axel Gerstmair. Differentiating locally recurrent rectal cancer from scar tissue: Value of diffusion-weighted MRI. European Journal of Radiology 2016; 85(7) doi: 10.1016/j.ejrad.2016.04.006
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| 28 |
Lotte Jacobs, Martijn Intven, Niels van Lelyveld, Marielle Philippens, Maarten Burbach, Kees Seldenrijk, Maartje Los, Onne Reerink. Diffusion-weighted MRI for Early Prediction of Treatment Response on Preoperative Chemoradiotherapy for Patients With Locally Advanced Rectal Cancer. Annals of Surgery 2016; 263(3) doi: 10.1097/SLA.0000000000001311
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| 29 |
Jia Wang, Xuejun Liu, Bin Hu, Yuanxiang Gao, Jingjing Chen, Jie Li. Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy. Abdominal Radiology 2021; 46(5) doi: 10.1007/s00261-020-02846-3
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| 30 |
Ke Nie, Liming Shi, Qin Chen, Xi Hu, Salma K. Jabbour, Ning Yue, Tianye Niu, Xiaonan Sun. Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI. Clinical Cancer Research 2016; 22(21) doi: 10.1158/1078-0432.CCR-15-2997
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| 31 |
Ilaria Mariani, Cesare Maino, Teresa Paola Giandola, Paolo Niccolò Franco, Silvia Girolama Drago, Rocco Corso, Cammillo Talei Franzesi, Davide Ippolito. Texture Analysis and Prediction of Response to Neoadjuvant Treatment in Patients with Locally Advanced Rectal Cancer. Gastrointestinal Disorders 2024; 6(4) doi: 10.3390/gidisord6040060
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| 32 |
Trang T Pham, Gary P Liney, Karen Wong, Michael B Barton. Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer. The British Journal of Radiology 2017; 90(1072) doi: 10.1259/bjr.20151078
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| 33 |
François Lallemand, Natacha Leroi, Silvia Blacher, Mohamed Ali Bahri, Evelyne Balteau, Philippe Coucke, Agnès Noël, Alain Plenevaux, Philippe Martinive. Tumor Microenvironment Modifications Recorded With IVIM Perfusion Analysis and DCE-MRI After Neoadjuvant Radiotherapy: A Preclinical Study. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.784437
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| 34 |
Lawrence F. Lau, David S. Williams, Sze Ting Lee, Andrew M. Scott, Christopher Christophi, Vijayaragavan Muralidharan. Metabolic Response to Preoperative Chemotherapy Predicts Prognosis for Patients Undergoing Surgical Resection of Colorectal Cancer Metastatic to the Liver. Annals of Surgical Oncology 2014; 21(7) doi: 10.1245/s10434-014-3590-0
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| 35 |
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| 36 |
A.M. Maffione, S. Chondrogiannis, C. Capirci, F. Galeotti, A. Fornasiero, G. Crepaldi, G. Grassetto, L. Rampin, M.C. Marzola, D. Rubello. Early prediction of response by 18F-FDG PET/CT during preoperative therapy in locally advanced rectal cancer: A systematic review. European Journal of Surgical Oncology (EJSO) 2014; 40(10) doi: 10.1016/j.ejso.2014.06.005
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| 37 |
Trang T. Pham, Timothy Stait-Gardner, Cheok Soon Lee, Michael Barton, Petra L. Graham, Gary Liney, Karen Wong, William S. Price. Correlation of ultra-high field MRI with histopathology for evaluation of rectal cancer heterogeneity. Scientific Reports 2019; 9(1) doi: 10.1038/s41598-019-45450-2
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| 38 |
Sofie Rahbek, Faisal Mahmood, Michal R Tomaszewski, Lars G Hanson, Kristoffer H Madsen. Decomposition-based framework for tumor classification and prediction of treatment response from longitudinal MRI. Physics in Medicine & Biology 2023; 68(2) doi: 10.1088/1361-6560/acaa85
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| 39 |
Hai-Dong Xu, Yu-Qin Zhang, Wei-Yu Shen, Zheng-Chun Mao. Diffusion-weighted imaging in evaluating the efficacy of concurrent chemoradiotherapy in the treatment of non-small cell lung cancer. Tumori Journal 2018; 104(3) doi: 10.5301/tj.5000612
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| 40 |
HIROSHI DOI, NAOHITO BEPPU, TAKASHI KATO, MASASHI NODA, HIDENORI YANAGI, NAOHIRO TOMITA, NORIHIKO KAMIKONYA, SHOZO HIROTA. Diffusion-weighted magnetic resonance imaging for prediction of tumor response to neoadjuvant chemoradiotherapy using irinotecan plus S-1 for rectal cancer. Molecular and Clinical Oncology 2015; 3(5) doi: 10.3892/mco.2015.604
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| 41 |
Angelina Marina Di Re, Yu Sun, Purnima Sundaresan, Eric Hau, James Wei Tatt Toh, Harriet Gee, Michelle Or, Annette Haworth. MRI radiomics in the prediction of therapeutic response to neoadjuvant therapy for locoregionally advanced rectal cancer: a systematic review. Expert Review of Anticancer Therapy 2021; 21(4) doi: 10.1080/14737140.2021.1860762
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| 42 |
Petra J. van Houdt, Yingli Yang, Uulke A. van der Heide. Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy. Frontiers in Oncology 2021; 10 doi: 10.3389/fonc.2020.615643
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| 43 |
Andrea Delli Pizzi, Roberta Cianci, Domenico Genovesi, Gianluigi Esposito, Mauro Timpani, Alessandra Tavoletta, Pierluigi Pulsone, Raffaella Basilico, Daniela Gabrielli, Consuelo Rosa, Luciana Caravatta, Monica Di Tommaso, Massimo Caulo, Antonella Filippone. Performance of diffusion-weighted magnetic resonance imaging at 3.0T for early assessment of tumor response in locally advanced rectal cancer treated with preoperative chemoradiation therapy. Abdominal Radiology 2018; 43(9) doi: 10.1007/s00261-018-1457-8
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