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Dec 28, 2017 (publication date) through Jun 20, 2024
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Publication Name
World Journal of Radiology
ISSN
1949-8470
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Mazaheri Y, Akin O, Hricak H. Dynamic contrast-enhanced magnetic resonance imaging of prostate cancer: A review of current methods and applications. World J Radiol 2017; 9(12): 416-425 [PMID: 29354207 DOI: 10.4329/wjr.v9.i12.416] |
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| URL: | https://www.wjgnet.com/1949-8470/full/v9/i12/416.htm |
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Domenico Albano, Federico Bruno, Andrea Agostini, Salvatore Alessio Angileri, Massimo Benenati, Giulia Bicchierai, Michaela Cellina, Vito Chianca, Diletta Cozzi, Ginevra Danti, Federica De Muzio, Letizia Di Meglio, Francesco Gentili, Giuliana Giacobbe, Giulia Grazzini, Irene Grazzini, Pasquale Guerriero, Carmelo Messina, Giuseppe Micci, Pierpaolo Palumbo, Maria Paola Rocco, Roberto Grassi, Vittorio Miele, Antonio Barile. Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging. Japanese Journal of Radiology 2022; 40(4): 341 doi: 10.1007/s11604-021-01223-4
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Hamid Abdollahi, Bahram Mofid, Isaac Shiri, Abolfazl Razzaghdoust, Afshin Saadipoor, Arash Mahdavi, Hassan Maleki Galandooz, Seied Rabi Mahdavi. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer. La radiologia medica 2019; 124(6): 555 doi: 10.1007/s11547-018-0966-4
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Li-Hua Xiang, Yan Fang, Jing Wan, Guang Xu, Ming-Hua Yao, Shi-Si Ding, Hui Liu, Rong Wu. Shear-wave elastography: role in clinically significant prostate cancer with false-negative magnetic resonance imaging. European Radiology 2019; 29(12): 6682 doi: 10.1007/s00330-019-06274-w
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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
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Michaela Daniel, Stephan H. Polanec, Georg Wengert, Paola Clauser, Katja Pinker, Thomas H. Helbich, Dietmar Georg, Pascal A.T. Baltzer. Intra- and inter-observer variability in dependence of T1-time correction for common dynamic contrast enhanced MRI parameters in prostate cancer patients. European Journal of Radiology 2019; 116: 27 doi: 10.1016/j.ejrad.2019.04.015
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Farnaz Najmi Varzaneh, Behnoud Baradaran Noveiry. Cancer Immunology. 2020; : 729 doi: 10.1007/978-3-030-30845-2_31
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Qiaoyu Xu, Yanyan Xu, Juan Wang, Hongliang Sun, Jie Lin, Sheng Xie. Distinguishing mesorectal tumor deposits from metastatic lymph nodes by using diffusion-weighted and dynamic contrast-enhanced magnetic resonance imaging in rectal cancer. European Radiology 2022; 33(6): 4127 doi: 10.1007/s00330-022-09328-8
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Maria Clara Fernandes, Onur Yildirim, Sungmin Woo, Hebert Alberto Vargas, Hedvig Hricak. The role of MRI in prostate cancer: current and future directions. Magnetic Resonance Materials in Physics, Biology and Medicine 2022; 35(4): 503 doi: 10.1007/s10334-022-01006-6
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Arianna Giacomini, Elisabetta Grillo, Sara Rezzola, Domenico Ribatti, Marco Rusnati, Roberto Ronca, Marco Presta. The FGF/FGFR system in the physiopathology of the prostate gland. Physiological Reviews 2021; 101(2): 569 doi: 10.1152/physrev.00005.2020
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Qianqian Gao, Yahui Peng, Xinchun Li, Xinhui Wang. Improved Minimum-Volume Enclosing Simplex Algorithm for Prostate DCE-MRI Analysis. 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) 2021; : 41 doi: 10.1109/ICSP51882.2021.9408955
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Silva Guljaš, Mirta Benšić, Zdravka Krivdić Dupan, Oliver Pavlović, Vinko Krajina, Deni Pavoković, Petra Šmit Takač, Matija Hranić, Tamer Salha. Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?. Tomography 2022; 8(3): 1509 doi: 10.3390/tomography8030124
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| 14 |
Hongxia Wang, Ruifang Yan, Zhong Li, Beiran Wang, Xingxing Jin, Zhenfang Guo, Wangyi Liu, Meng Zhang, Kaiyu Wang, Jinxia Guo, Dongming Han. Quantitative dynamic contrast-enhanced parameters and intravoxel incoherent motion facilitate the prediction of TP53 status and risk stratification of early-stage endometrial carcinoma. Radiology and Oncology 2023; 57(2): 257 doi: 10.2478/raon-2023-0023
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Thibaut Jeganathan, Emile Salgues, Ulrike Schick, Valentin Tissot, Georges Fournier, Antoine Valéri, Truong-An Nguyen, Vincent Bourbonne. Inter-Rater Variability of Prostate Lesion Segmentation on Multiparametric Prostate MRI. Biomedicines 2023; 11(12): 3309 doi: 10.3390/biomedicines11123309
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Shailendra K. Gautam, Vipin Dalal, Balasrinivasa R. Sajja, Suprit Gupta, Mansi Gulati, Nidhi V. Dwivedi, Abhijit Aithal, Jesse L. Cox, Satyanarayana Rachagani, Yutong Liu, Vincent Chung, Ravi Salgia, Surinder K. Batra, Maneesh Jain. Endothelin-axis antagonism enhances tumor perfusion in pancreatic cancer. Cancer Letters 2022; 544: 215801 doi: 10.1016/j.canlet.2022.215801
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Lars E. Olsson, Mikael Johansson, Björn Zackrisson, Lennart K. Blomqvist. Basic concepts and applications of functional magnetic resonance imaging for radiotherapy of prostate cancer. Physics and Imaging in Radiation Oncology 2019; 9: 50 doi: 10.1016/j.phro.2019.02.001
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Yu‐Feng Wang, Sirisha Tadimalla, Amy J. Hayden, Lois Holloway, Annette Haworth. Artificial intelligence and imaging biomarkers for prostate radiation therapy during and after treatment. Journal of Medical Imaging and Radiation Oncology 2021; 65(5): 612 doi: 10.1111/1754-9485.13242
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Lisa C. Adams, Bernhard Ralla, Yi-Na Y. Bender, Keno Bressem, Bernd Hamm, Jonas Busch, Florian Fuller, Marcus R. Makowski. Renal cell carcinoma with venous extension: prediction of inferior vena cava wall invasion by MRI. Cancer Imaging 2018; 18(1) doi: 10.1186/s40644-018-0150-z
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Rossano Girometti, Lorenzo Cereser, Filippo Bonato, Chiara Zuiani. Evolution of prostate MRI: from multiparametric standard to less-is-better and different-is better strategies. European Radiology Experimental 2019; 3(1) doi: 10.1186/s41747-019-0088-3
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Li Feng, Nan Wang. Quantitative Perfusion MRI - Techniques, Applications and Practical Considerations. Advances in Magnetic Resonance Technology and Applications 2023; 11: 253 doi: 10.1016/B978-0-323-95209-5.00012-X
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Harrison Kim, John V. Thomas, Jeffrey W. Nix, Jennifer B. Gordetsky, Yufeng Li, Soroush Rais-Bahrami. Portable Perfusion Phantom Offers Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Accurate Prostate Cancer Grade Stratification: A Pilot Study. Academic Radiology 2021; 28(3): 405 doi: 10.1016/j.acra.2020.02.027
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Jeff L. Zhang, Christopher C. Conlin, Xiaowan Li, Gwenael Layec, Ken Chang, Jayashree Kalpathy‐Cramer, Vivian S. Lee. Exercise‐induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach. Physiological Reports 2020; 8(16) doi: 10.14814/phy2.14563
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