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For: Girot C, Volk A, Walczak C, Lassau N, Pitre-Champagnat S. New method for quantification of intratumoral heterogeneity: a feasibility study on Ktrans maps from preclinical DCE-MRI. MAGMA 2021;34:845-857. [PMID: 34091826 DOI: 10.1007/s10334-021-00930-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/06/2021] [Accepted: 05/10/2021] [Indexed: 12/31/2022]
Number Cited by Other Article(s)
1
Haag F, Hertel A, Tharmaseelan H, Kuru M, Haselmann V, Brochhausen C, Schönberg SO, Froelich MF. Imaging-based characterization of tumoral heterogeneity for personalized cancer treatment. ROFO-FORTSCHR RONTG 2024;196:262-272. [PMID: 37944935 DOI: 10.1055/a-2175-4622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
2
Boutry S, Laurent S, Burtea C. Editorial for "New Cluster Analysis Method for Quantitative DCE-MRI Assessing Tumor Heterogeneity Induced by E7130 Treatment to a Breast Cancer Mouse Model". J Magn Reson Imaging 2022;56:1832-1833. [PMID: 35506540 DOI: 10.1002/jmri.28225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 01/04/2023]  Open
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