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Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer

Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) can be used to estimate perfusion-related parameters, but these parameters may differ, based on the curve-fitting algorithm used for IVIM. Microvessel density (MVD) and vascular endothelial growth factor (VEGF) s...

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Autores principales: Lee, Youn Joo, Kim, Sung Hun, Kang, Bong Joo, Son, Yo Han, Grimm, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519258/
https://www.ncbi.nlm.nih.gov/pubmed/34731130
http://dx.doi.org/10.1097/MD.0000000000027495
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author Lee, Youn Joo
Kim, Sung Hun
Kang, Bong Joo
Son, Yo Han
Grimm, Robert
author_facet Lee, Youn Joo
Kim, Sung Hun
Kang, Bong Joo
Son, Yo Han
Grimm, Robert
author_sort Lee, Youn Joo
collection PubMed
description Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) can be used to estimate perfusion-related parameters, but these parameters may differ, based on the curve-fitting algorithm used for IVIM. Microvessel density (MVD) and vascular endothelial growth factor (VEGF) status are used as angiogenic factors in breast cancer. We aimed to investigate the relationship between MVD, VEGF, and intravoxel incoherent motion (IVIM)-derived parameters, obtained by 4 curve-fitting algorithms, in patients with invasive breast cancers. This retrospective study investigated IVIM-derived parameters, D (ie, tissue diffusivity), D(∗) (ie, pseudodiffusivity), and f (ie, perfusion fraction), of 55 breast cancers, using 10 b values (range, 0–800 s/mm(2)) and 4 curve-fitting algorithms: algorithm 1, linear fitting of D and f first, followed by D(∗); algorithm 2, linear fitting of D and f and nonlinear fitting of D(∗); algorithm 3, linear fitting of D and f, linear fitting of D(∗), and ignoring D contribution for low b values; and algorithm 4, full nonlinear fitting of D, f, and D(∗). We evaluated whole-tumor histograms of D, f, and D(∗) for their association with MVD and VEGF. D(∗)(10), D(∗)(25), D(∗)(50), D(∗)(mean), D(∗)(75), D(∗)(90), f(10), and f(25), derived using algorithm 3, were associated with VEGF expression (P = .043, P = 0.012, P = .019, P = .024, P = .044, P = .041, P = .010, and P = .005, respectively). However, no correlation existed between MVD and IVIM-derived parameters. Perfusion-related IVIM parameters obtained by curve-fitting algorithm 3 may reflect VEGF expression.
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spelling pubmed-85192582021-10-18 Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer Lee, Youn Joo Kim, Sung Hun Kang, Bong Joo Son, Yo Han Grimm, Robert Medicine (Baltimore) 6800 Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) can be used to estimate perfusion-related parameters, but these parameters may differ, based on the curve-fitting algorithm used for IVIM. Microvessel density (MVD) and vascular endothelial growth factor (VEGF) status are used as angiogenic factors in breast cancer. We aimed to investigate the relationship between MVD, VEGF, and intravoxel incoherent motion (IVIM)-derived parameters, obtained by 4 curve-fitting algorithms, in patients with invasive breast cancers. This retrospective study investigated IVIM-derived parameters, D (ie, tissue diffusivity), D(∗) (ie, pseudodiffusivity), and f (ie, perfusion fraction), of 55 breast cancers, using 10 b values (range, 0–800 s/mm(2)) and 4 curve-fitting algorithms: algorithm 1, linear fitting of D and f first, followed by D(∗); algorithm 2, linear fitting of D and f and nonlinear fitting of D(∗); algorithm 3, linear fitting of D and f, linear fitting of D(∗), and ignoring D contribution for low b values; and algorithm 4, full nonlinear fitting of D, f, and D(∗). We evaluated whole-tumor histograms of D, f, and D(∗) for their association with MVD and VEGF. D(∗)(10), D(∗)(25), D(∗)(50), D(∗)(mean), D(∗)(75), D(∗)(90), f(10), and f(25), derived using algorithm 3, were associated with VEGF expression (P = .043, P = 0.012, P = .019, P = .024, P = .044, P = .041, P = .010, and P = .005, respectively). However, no correlation existed between MVD and IVIM-derived parameters. Perfusion-related IVIM parameters obtained by curve-fitting algorithm 3 may reflect VEGF expression. Lippincott Williams & Wilkins 2021-10-15 /pmc/articles/PMC8519258/ /pubmed/34731130 http://dx.doi.org/10.1097/MD.0000000000027495 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 6800
Lee, Youn Joo
Kim, Sung Hun
Kang, Bong Joo
Son, Yo Han
Grimm, Robert
Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
title Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
title_full Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
title_fullStr Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
title_full_unstemmed Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
title_short Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
title_sort associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519258/
https://www.ncbi.nlm.nih.gov/pubmed/34731130
http://dx.doi.org/10.1097/MD.0000000000027495
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