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Cited by in CrossRef
For: Tlais M, Hamze H, Hteit A, Haddad K, El Fassih I, Zalzali I, Mahmoud S, Karaki S, Jabbour D. Advances in ultrasound-based imaging for diagnosis of endometrial cancer. World J Radiol 2025; 17(9): 111493 [PMID: 41025054 DOI: 10.4329/wjr.v17.i9.111493]
URL: https://www.wjgnet.com/1949-8470/full/v17/i9/111493.htm
Number Citing Articles
1
Apostolia Galani, Sofoklis Stavros, Efthalia Moustakli, Anastasios Potiris, Athanasios Zikopoulos, Ismini Anagnostaki, Konstantinos Zacharis, Maria Paraskevaidi, Deirdre Lyons, Stefania Maneta-Stavrakaki, Nikolaos Thomakos, Maria Kyrgiou, Ekaterini Domali. Endometrial Hyperplasia: Current Insights into Epidemiology, Risk Factors, and Clinical ManagementCancers 2025; 18(1): 148 doi: 10.3390/cancers18010148
2
Kaavya Sathyamurthy, K. M. Kundavi Shankar, V. Geetha, G. V. Rashmi, Geovin Ranji. Comparative study between three-dimensional transvaginal ultrasound and hysteroscopy in evaluating uterine abnormalities among infertile womenInternational Journal of Reproduction, Contraception, Obstetrics and Gynecology 2026; 15(4): 1205 doi: 10.18203/2320-1770.ijrcog20260874
3
Xingzhe Liu, Yuanjia Wen, Jiahao Liu, Wenzhi Lv, Yuan Wu, Yue Gao, Shaoqing Zeng, Guannan Li, Yu Xia, Shennan Shi, Qiuyang Xu, Xiaofei Jiao, Wenjian Gong, Ding Ma, Guang-Nian Zhao, Yong Fang, Xiaodong Cheng, Xiao-Yan Xu, Dan Liu, Qinglei Gao. Deep learning prediction model based on multi-modal transvaginal ultrasound scan images for endometrial cancerCancer Imaging 2026; 26(1) doi: 10.1186/s40644-026-01013-z
4
Jie Yu, Fengyun Wang, Li Chen, Juwei Zhang. Development and clinical evaluation of an ultrasound-based predictive model for early diagnosis of endometrial cancerMedicine 2026; 105(8): e47682 doi: 10.1097/MD.0000000000047682