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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.
Afiliação
  • Onishi N; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Sadinski M; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Hughes MC; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Ko ES; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gibbs P; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gallagher KM; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Fung MM; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Hunt TJ; GE Healthcare, New York, NY, USA.
  • Martinez DF; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Shukla-Dave A; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Morris EA; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Sutton EJ; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Breast Cancer Res ; 22(1): 58, 2020 05 28.
Article em En | MEDLINE | ID: mdl-32466799
ABSTRACT

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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article