• Reference Citation Analysis
  • v
  • v
  • Find an Article
  • Find an Author
Download
Number Citation Analysis
1
Albano D, Mallardi C, Afat S, Agnollitto PM, Caruso D, Cannella R, Carriero S, Chupetlovska K, Clauser P, D'Angelo T, De Santis D, Dioguardi Burgio M, Dumic-Cule I, Fanni SC, Fusco S, Gatti M, Gitto S, Jankovic S, Karagechev T, Klontzas ME, Koltsakis E, Leithner D, Matišić V, Muscogiuri G, Penkova R, Polici M, Serpi F, Sofia C, Snoj Z, Akinci D'Antonoli T, Vernuccio F, Vieira J, Vieira AC, Wielema M, Zerunian M, Messina C. How young radiologists use contrast media and manage adverse reactions: an international survey. Insights Imaging 2024;15:92. [PMID: 38530547 DOI: 10.1186/s13244-024-01658-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/25/2024] [Indexed: 03/28/2024]  Open
2
van der Reijd DJ, Chupetlovska K, van Dijk E, Westerink B, Monraats MA, Van Griethuysen JJM, Lambregts DMJ, Tissier R, Beets-Tan RGH, Benson S, Maas M. Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers? Eur J Radiol 2024;172:111346. [PMID: 38309217 DOI: 10.1016/j.ejrad.2024.111346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/15/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
3
Catania R, Chupetlovska K, Borhani AA, Maheshwari E, Furlan A. Tumor in vein (LR-TIV) and liver imaging reporting and data system (LI-RADS) v2018: diagnostic features, pitfalls, prognostic and management implications. Abdom Radiol (NY) 2021;46:5723-5734. [PMID: 34519877 DOI: 10.1007/s00261-021-03270-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/02/2021] [Accepted: 09/03/2021] [Indexed: 01/27/2023]
4
Qi Q, Weinstock AK, Chupetlovska K, Borhani AA, Jorgensen DR, Furlan A, Behari J, Molinari M, Ganesh S, Humar A, Duarte-Rojo A. Magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) is a viable alternative to liver biopsy for steatosis quantification in living liver donor transplantation. Clin Transplant 2021;35:e14339. [PMID: 33963602 DOI: 10.1111/ctr.14339] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/13/2021] [Accepted: 04/21/2021] [Indexed: 12/20/2022]
PrevPage 1 of 1 1Next
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA