BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Kayhan A, Yang C, Soylu FN, Lakadamyalı H, Sethi I, Karczmar G, Stadler W, Oto A. Dynamic contrast-enhanced MR imaging findings of bone metastasis in patients with prostate cancer. World J Radiol 2011; 3(10): 241-245 [PMID: 22229077 DOI: 10.4329/wjr.v3.i10.241]
URL: https://www.wjgnet.com/1949-8470/full/v3/i10/241.htm
Number Citing Articles
1
Kevin H. Leung, Steven P. Rowe, Jeffrey P. Leal, Saeed Ashrafinia, Mohammad S. Sadaghiani, Hyun Woo Chung, Pejman Dalaie, Rima Tulbah, Yafu Yin, Ryan VanDenBerg, Rudolf A. Werner, Kenneth J. Pienta, Michael A. Gorin, Yong Du, Martin G. Pomper. Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PETEJNMMI Research 2022; 12(1) doi: 10.1186/s13550-022-00948-1
2
Anwar R. Padhani, Andreas Makris, Peter Gall, David J. Collins, Nina Tunariu, Johann S. de Bono. Therapy monitoring of skeletal metastases with whole-body diffusion MRIJournal of Magnetic Resonance Imaging 2014; 39(5): 1049 doi: 10.1002/jmri.24548
3
Sekyoung Park, Jung Gu Park, Sungmin Jun, Heeyoung Kim, Taek Sang Kim, Hee Kang. Differentiation of bone metastases from prostate cancer and benign red marrow depositions of the pelvic bone with multiparametric MRIMagnetic Resonance Imaging 2020; 73: 118 doi: 10.1016/j.mri.2020.08.019
4
Amanda Isaac, Danoob Dalili, Daniel Dalili, Marc-André Weber. State-of-the-art imaging for diagnosis of metastatic bone diseaseDer Radiologe 2020; 60(S1): 1 doi: 10.1007/s00117-020-00666-6
5
Connie Y. Chang, Hillary W. Garner, Shivani Ahlawat, Behrang Amini, Matthew D. Bucknor, Jonathan A. Flug, Iman Khodarahmi, Michael E. Mulligan, Jeffrey J. Peterson, Geoffrey M. Riley, Mohammad Samim, Santiago A. Lozano-Calderon, Jim S. Wu. Society of Skeletal Radiology– white paper. Guidelines for the diagnostic management of incidental solitary bone lesions on CT and MRI in adults: bone reporting and data system (Bone-RADS)Skeletal Radiology 2022; 51(9): 1743 doi: 10.1007/s00256-022-04022-8
6
Mark Behar, Kyung K. Peck, Onur Yildirim, Jamie Tisnado, Atin Saha, Julio Arevalo-Perez, Eric Lis, Yoshiya Yamada, Andrei I. Holodny, Sasan Karimi. T1-Weighted, Dynamic Contrast-Enhanced MR Perfusion Imaging Can Differentiate between Treatment Success and Failure in Spine Metastases Undergoing Radiation TherapyAmerican Journal of Neuroradiology 2023; 44(12): 1451 doi: 10.3174/ajnr.A8057
7
Ali Rashidi, Lucia Baratto, Ashok Joseph Theruvath, Elton Benjamin Greene, Praveen Jayapal, K. Elizabeth Hawk, Rong Lu, Jayne Seekins, Sheri L. Spunt, Allison Pribnow, Heike E. Daldrup-Link. Improved Detection of Bone Metastases in Children and Young Adults with Ferumoxytol-enhanced MRIRadiology: Imaging Cancer 2023; 5(2) doi: 10.1148/rycan.220080
8
Junjie Wu, Yi Zhu, Xiaodong Zhang, Xiaoying Wang, Jue Zhang. An automatic framework for evaluating the vascular permeability of bone metastases from prostate cancerPhysics in Medicine & Biology 2021; 66(12): 125006 doi: 10.1088/1361-6560/ac02d3
9
James F. Griffith, Stefanie W.Y. Yip, Rianne A. van der Heijden, Raul F. Valenzuela, David K.W. Yeung. Perfusion Imaging of the Musculoskeletal SystemMagnetic Resonance Imaging Clinics of North America 2024; 32(1): 181 doi: 10.1016/j.mric.2023.07.004
10
Steve Y. Cho, Seyed S. Dianat, Katarzyna J. Macura. Management of Castration Resistant Prostate CancerCurrent Clinical Urology 2014; : 43 doi: 10.1007/978-1-4939-1176-9_4
11
Wilson Ong, Lei Zhu, Yi Liang Tan, Ee Chin Teo, Jiong Hao Tan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur, James Thomas Patrick Decourcy Hallinan. Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic ReviewCancers 2023; 15(6): 1837 doi: 10.3390/cancers15061837
12
Sei Morinaga, Norio Yamamoto, Katsuhiro Hayashi, Akihiko Takeuchi, Shinji Miwa, Kentaro Igarashi, Hirotaka Yonezawa, Yohei Asano, Shiro Saito, Hiroyuki Tsuchiya. Insufficiency fracture of the supra-acetabulum that required differentiation from a pathological fracture secondary to a malignant bone tumor: a case reportJournal of Medical Case Reports 2022; 16(1) doi: 10.1186/s13256-022-03642-x
13
Cristina Lavini, Gem Kramer, Indra Pieters-den Bos, Otto Hoekstra, J.T. Marcus. MRI protocol optimization for quantitative DCE-MRI of the spineMagnetic Resonance Imaging 2017; 44: 96 doi: 10.1016/j.mri.2017.08.010
14
Sandy Van Nieuwenhove, Julien Van Damme, Anwar R. Padhani, Vincent Vandecaveye, Bertrand Tombal, Joris Wuts, Vassiliki Pasoglou, Frederic E. Lecouvet. Whole‐body magnetic resonance imaging for prostate cancer assessment: Current status and future directionsJournal of Magnetic Resonance Imaging 2022; 55(3): 653 doi: 10.1002/jmri.27485
15
Chet H. Falk, Boyuan Liu, Maureen E. Lynch. Encyclopedia of Bone Biology2020; : 445 doi: 10.1016/B978-0-12-801238-3.11256-5
16
Sungmin Woo, Sang Youn Kim, Seung Hyup Kim, Jeong Yeon Cho. JOURNAL CLUB: Identification of Bone Metastasis With Routine Prostate MRI: A Study of Patients With Newly Diagnosed Prostate CancerAmerican Journal of Roentgenology 2016; 206(6): 1156 doi: 10.2214/AJR.15.15761
17
Benoit Beuselinck, Steven Pans, Jurgen Bielen, Liesbeth De Wever, Nathalie Noppe, Geert Vanderschueren, Frederik De Keyzer, Marcella Baldewijns, Evelyne Lerut, Annouschka Laenen, Annelies Verbiest, Eduard Roussel, Maarten Albersen, Vincent Vandecaveye. Whole-body diffusion-weighted magnetic resonance imaging for the detection of bone metastases and their prognostic impact in metastatic renal cell carcinoma patients treated with angiogenesis inhibitorsActa Oncologica 2020; 59(7): 818 doi: 10.1080/0284186X.2020.1750696
18
Tobias Bäuerle. Knochenmetastasen2014; : 33 doi: 10.1007/978-3-662-43471-0_4
19
E. Oh, Y.C. Yoon, J.H. Kim, K. Kim. Multiparametric approach with diffusion-weighted imaging and dynamic contrast-enhanced MRI: a comparison study for differentiating between benign and malignant bone lesions in adultsClinical Radiology 2017; 72(7): 552 doi: 10.1016/j.crad.2017.02.017
20
Mansi Verma, Shikha Sood, Balraj Singh, Manoj Thakur, Sudershan Sharma. Dynamic contrast-enhanced magnetic resonance perfusion volumetrics can differentiate tuberculosis of the spine and vertebral malignancyActa Radiologica 2022; 63(11): 1504 doi: 10.1177/02841851211043838
21
Tobias Bäuerle. Functional Imaging in Oncology2014; : 1389 doi: 10.1007/978-3-642-40582-2_34
22
Courtney Morisson, Robert Jeraj, Glenn Liu. Imaging of castration-resistant prostrate cancerCurrent Opinion in Urology 2013; 23(3): 230 doi: 10.1097/MOU.0b013e32835e9edc
23
Koeun Lee, Ho Young Park, Kyung Won Kim, Amy Junghyun Lee, Min A. Yoon, Eun Jin Chae, Jeong Hyun Lee, Hye Won Chung. Advances in whole body MRI for musculoskeletal imaging: Diffusion-weighted imagingJournal of Clinical Orthopaedics and Trauma 2019; 10(4): 680 doi: 10.1016/j.jcot.2019.05.018