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Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer

BACKGROUND: Ultrafast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-derived kinetic parameters have demonstrated at least equivalent accuracy to standard DCE-MRI in differentiating malignant from benign breast lesions. However, it is unclear if they have any efficacy as prognostic i...

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Autores principales: Onishi, Natsuko, Sadinski, Meredith, Hughes, Mary C., Ko, Eun Sook, Gibbs, Peter, Gallagher, Katherine M., Fung, Maggie M., Hunt, Theodore J., Martinez, Danny F., Shukla-Dave, Amita, Morris, Elizabeth A., Sutton, Elizabeth J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254650/
https://www.ncbi.nlm.nih.gov/pubmed/32466799
http://dx.doi.org/10.1186/s13058-020-01292-9
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author Onishi, Natsuko
Sadinski, Meredith
Hughes, Mary C.
Ko, Eun Sook
Gibbs, Peter
Gallagher, Katherine M.
Fung, Maggie M.
Hunt, Theodore J.
Martinez, Danny F.
Shukla-Dave, Amita
Morris, Elizabeth A.
Sutton, Elizabeth J.
author_facet Onishi, Natsuko
Sadinski, Meredith
Hughes, Mary C.
Ko, Eun Sook
Gibbs, Peter
Gallagher, Katherine M.
Fung, Maggie M.
Hunt, Theodore J.
Martinez, Danny F.
Shukla-Dave, Amita
Morris, Elizabeth A.
Sutton, Elizabeth J.
author_sort Onishi, Natsuko
collection PubMed
description BACKGROUND: Ultrafast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-derived kinetic parameters have demonstrated at least equivalent accuracy to standard DCE-MRI in differentiating malignant from benign breast lesions. However, it is unclear if they have any efficacy as prognostic imaging markers. The aim of this study was to investigate the relationship between ultrafast DCE-MRI-derived kinetic parameters and breast cancer characteristics. METHODS: Consecutive breast MRI examinations between February 2017 and January 2018 were retrospectively reviewed to determine those examinations that meet the following inclusion criteria: (1) BI-RADS 4–6 MRI performed on a 3T scanner with a 16-channel breast coil and (2) a hybrid clinical protocol with 15 phases of ultrafast DCE-MRI (temporal resolution of 2.7–4.6 s) followed by early and delayed phases of standard DCE-MRI. The study included 125 examinations with 142 biopsy-proven breast cancer lesions. Ultrafast DCE-MRI-derived kinetic parameters (maximum slope [MS] and bolus arrival time [BAT]) were calculated for the entire volume of each lesion. Comparisons of these parameters between different cancer characteristics were made using generalized estimating equations, accounting for the presence of multiple lesions per patient. All comparisons were exploratory and adjustment for multiple comparisons was not performed; P values < 0.05 were considered statistically significant. RESULTS: Significantly larger MS and shorter BAT were observed for invasive carcinoma than ductal carcinoma in situ (DCIS) (P < 0.001 and P = 0.008, respectively). Significantly shorter BAT was observed for invasive carcinomas with more aggressive characteristics than those with less aggressive characteristics: grade 3 vs. grades 1–2 (P = 0.025), invasive ductal carcinoma vs. invasive lobular carcinoma (P = 0.002), and triple negative or HER2 type vs. luminal type (P < 0.001). CONCLUSIONS: Ultrafast DCE-MRI-derived parameters showed a strong relationship with some breast cancer characteristics, especially histopathology and molecular subtype.
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spelling pubmed-72546502020-06-07 Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer Onishi, Natsuko Sadinski, Meredith Hughes, Mary C. Ko, Eun Sook Gibbs, Peter Gallagher, Katherine M. Fung, Maggie M. Hunt, Theodore J. Martinez, Danny F. Shukla-Dave, Amita Morris, Elizabeth A. Sutton, Elizabeth J. Breast Cancer Res Research Article BACKGROUND: Ultrafast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-derived kinetic parameters have demonstrated at least equivalent accuracy to standard DCE-MRI in differentiating malignant from benign breast lesions. However, it is unclear if they have any efficacy as prognostic imaging markers. The aim of this study was to investigate the relationship between ultrafast DCE-MRI-derived kinetic parameters and breast cancer characteristics. METHODS: Consecutive breast MRI examinations between February 2017 and January 2018 were retrospectively reviewed to determine those examinations that meet the following inclusion criteria: (1) BI-RADS 4–6 MRI performed on a 3T scanner with a 16-channel breast coil and (2) a hybrid clinical protocol with 15 phases of ultrafast DCE-MRI (temporal resolution of 2.7–4.6 s) followed by early and delayed phases of standard DCE-MRI. The study included 125 examinations with 142 biopsy-proven breast cancer lesions. Ultrafast DCE-MRI-derived kinetic parameters (maximum slope [MS] and bolus arrival time [BAT]) were calculated for the entire volume of each lesion. Comparisons of these parameters between different cancer characteristics were made using generalized estimating equations, accounting for the presence of multiple lesions per patient. All comparisons were exploratory and adjustment for multiple comparisons was not performed; P values < 0.05 were considered statistically significant. RESULTS: Significantly larger MS and shorter BAT were observed for invasive carcinoma than ductal carcinoma in situ (DCIS) (P < 0.001 and P = 0.008, respectively). Significantly shorter BAT was observed for invasive carcinomas with more aggressive characteristics than those with less aggressive characteristics: grade 3 vs. grades 1–2 (P = 0.025), invasive ductal carcinoma vs. invasive lobular carcinoma (P = 0.002), and triple negative or HER2 type vs. luminal type (P < 0.001). CONCLUSIONS: Ultrafast DCE-MRI-derived parameters showed a strong relationship with some breast cancer characteristics, especially histopathology and molecular subtype. BioMed Central 2020-05-28 2020 /pmc/articles/PMC7254650/ /pubmed/32466799 http://dx.doi.org/10.1186/s13058-020-01292-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Onishi, Natsuko
Sadinski, Meredith
Hughes, Mary C.
Ko, Eun Sook
Gibbs, Peter
Gallagher, Katherine M.
Fung, Maggie M.
Hunt, Theodore J.
Martinez, Danny F.
Shukla-Dave, Amita
Morris, Elizabeth A.
Sutton, Elizabeth J.
Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
title Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
title_full Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
title_fullStr Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
title_full_unstemmed Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
title_short Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
title_sort ultrafast dynamic contrast-enhanced breast mri may generate prognostic imaging markers of breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254650/
https://www.ncbi.nlm.nih.gov/pubmed/32466799
http://dx.doi.org/10.1186/s13058-020-01292-9
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