For: | Katlariwala P, Wilson MP, Pi Y, Chahal BS, Croutze R, Patel D, Patel V, Low G. Reliability of ultrasound ovarian-adnexal reporting and data system amongst less experienced readers before and after training. World J Radiol 2022; 14(9): 319-328 [PMID: 36186517 DOI: 10.4329/wjr.v14.i9.319] |
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URL: | https://www.wjgnet.com/1949-8470/full/v14/i9/319.htm |
Number | Citing Articles |
1 |
Krupa K. Patel-Lippmann, Akshya Gupta, Marisa F. Martin, Catherine H. Phillips, Katherine E. Maturen, Priyanka Jha, Elizabeth A. Sadowski, Erica B. Stein, Vicky Goh. The Roles of Ovarian-Adnexal Reporting and Data System US and Ovarian-Adnexal Reporting and Data System MRI in the Evaluation of Adnexal Lesions. Radiology 2024; 312(2) doi: 10.1148/radiol.233332
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2 |
Lori M. Strachowski, Priyanka Jha, Catherine H. Phillips, Misty M. Blanchette Porter, Wouter Froyman, Phyllis Glanc, Yang Guo, Maitray D. Patel, Caroline Reinhold, Elizabeth J. Suh-Burgmann, Dirk Timmerman, Rochelle F. Andreotti. O-RADS US v2022: An Update from the American College of Radiology’s Ovarian-Adnexal Reporting and Data System US Committee. Radiology 2023; 308(3) doi: 10.1148/radiol.230685
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3 |
Julio Vara, Mariachiara Pagliuca, Serena Springer, Juan Gonzalez de Canales, Isabel Brotons, Javiera Yakcich, Silvia Ajossa, Maria Angela Pascual, Stefano Guerriero, Juan Luis Alcazar. O-RADS Classification for Ultrasound Assessment of Adnexal Masses: Agreement between IOTA Lexicon and ADNEX Model for Assigning Risk Group. Diagnostics 2023; 13(4): 673 doi: 10.3390/diagnostics13040673
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4 |
Ya Yang, Hongyan Wang, Zhenzhen Liu, Na Su, Luying Gao, Xixi Tao, Rui Zhang, Yang Gu, Li Ma, Ruojiao Wang, Wen Xu, Yuhuan Xie, Wenjun Zhang, Heng Zhang, Gaiqin Xue, Tong Ru, Qing Dai, Jianchu Li, Yuxin Jiang. Effect of differences in O-RADS lexicon interpretation between senior and junior sonologists on O-RADS classification and diagnostic performance. Journal of Cancer Research and Clinical Oncology 2023; 149(13): 12275 doi: 10.1007/s00432-023-05108-z
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5 |
Baifang Liu, Liqiu Sui. Exploration on Environmental Protection Supported by Big Data. Procedia Computer Science 2023; 228: 1134 doi: 10.1016/j.procs.2023.11.148
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