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For: Fan M, Wu G, Cheng H, Zhang J, Shao G, Li L. Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients. Eur J Radiol 2017;94:140-147. [DOI: 10.1016/j.ejrad.2017.06.019] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 04/29/2017] [Accepted: 06/26/2017] [Indexed: 01/31/2023]
Number Cited by Other Article(s)
101
Saha A, Harowicz MR, Mazurowski MA. Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors. Med Phys 2018;45:3076-3085. [PMID: 29663411 DOI: 10.1002/mp.12925] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 03/01/2018] [Accepted: 04/04/2018] [Indexed: 12/30/2022]  Open
102
Monti S, Aiello M, Incoronato M, Grimaldi AM, Moscarino M, Mirabelli P, Ferbo U, Cavaliere C, Salvatore M. DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes. CONTRAST MEDIA & MOLECULAR IMAGING 2018;2018:5076269. [PMID: 29581709 PMCID: PMC5822818 DOI: 10.1155/2018/5076269] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 11/20/2017] [Accepted: 12/18/2017] [Indexed: 12/23/2022]
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