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Cited by in CrossRef
For: Kara Bozkurt D, Bozkurt M, Nazli MA, Mutlu IN, Kilickesmez O. Diffusion-weighted and diffusion-tensor imaging of normal and diseased uterus. World J Radiol 2015; 7(7): 149-156 [PMID: 26217454 DOI: 10.4329/wjr.v7.i7.149]
URL: https://www.wjgnet.com/1949-8470/full/v7/i7/149.htm
Number Citing Articles
1
Xin-Qiao Huang, Jian Shu, Li Luo, Ming-Li Jin, Xiao-Fei Lu, Shu-Gen Yang. Differentiation grade for extrahepatic bile duct adenocarcinoma: Assessed by diffusion-weighted imaging at 3.0-T MREuropean Journal of Radiology 2016; 85(11): 1980 doi: 10.1016/j.ejrad.2016.09.004
2
Mahmoud Abdel-Latif, Hebatullah Safwat Mosaad. Use of diffusion-weighted imaging and diffusion tensor imaging in assessment of myometrial invasion in patients of endometrial carcinoma and its correlation with histopathological grading (Prospective study)Egyptian Journal of Radiology and Nuclear Medicine 2021; 52(1) doi: 10.1186/s43055-021-00652-5
3
Sajan Andrews, Qing Yuan, April Bailey, Yin Xi, Rajiv Chopra, Robert Staruch, Ivan Pedrosa. Multiparametric MRI Characterization of Funaki Types of Uterine Fibroids Considered for MR-Guided High-Intensity Focused Ultrasound (MR-HIFU) TherapyAcademic Radiology 2019; 26(4): e9 doi: 10.1016/j.acra.2018.05.012
4
Rathod Srikanth, Swarnava Tarafdar, Adithan Subathra, Krishnan Nagarajan, Dasari Papa. Diffusion-Weighted MR Imaging Can Differentiate Benign and Malignant Uterine MassesIndian Journal of Gynecologic Oncology 2020; 18(2) doi: 10.1007/s40944-020-00383-x
5
Yahya Baba. Radiopaedia.org2021;  doi: 10.53347/rID-92178
6
Roxana Pintican, Vlad Bura, Marta Zerunian, Janette Smith, Helen Addley, Susan Freeman, Damiano Caruso, Andrea Laghi, Evis Sala, Mercedes Jimenez-Linan. MRI of the endometrium - from normal appearances to rare pathologyThe British Journal of Radiology 2021; 94(1125): 20201347 doi: 10.1259/bjr.20201347
7
Mahmoud Abdel Latif, M. Salah Tantawy, Hebatullah Safwat Mosaad. Diagnostic value of diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) in differentiation between normal and abnormally thickened endometrium: prospective studyEgyptian Journal of Radiology and Nuclear Medicine 2021; 52(1) doi: 10.1186/s43055-021-00487-0
8
Y.L. He, N. Ding, Y. Li, Z. Li, Y. Xiang, Z.Y. Jin, H.D. Xue. Cyclic changes of the junctional zone on 3 T MRI images in young and middle-aged females during the menstrual cycleClinical Radiology 2016; 71(4): 341 doi: 10.1016/j.crad.2015.12.005
9
Connie O. Rees, Joost Nederend, Massimo Mischi, Huib A. A. M. van Vliet, Benedictus C. Schoot. Objective measures of adenomyosis on MRI and their diagnostic accuracy—a systematic review & meta‐analysisActa Obstetricia et Gynecologica Scandinavica 2021; 100(8): 1377 doi: 10.1111/aogs.14139
10
Tao Chen, Junya Mu, Qianwen Xue, Ling Yang, Wanghuan Dun, Ming Zhang, Jixin Liu. Whole-brain structural magnetic resonance imaging–based classification of primary dysmenorrhea in pain-free phase: a machine learning studyPain 2019; 160(3): 734 doi: 10.1097/j.pain.0000000000001428