Mechanical and hemodynamic responses of breast tissue under mammographic-like compression during functional dynamic optical imaging.

Autor:	Al Abdi RM; Biomedical Engineering Department, Jordan University of Science and Technology, Irbid 22110, Jordan., Deng B; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA., Hijazi HH; Department of Health Management and Policy, Jordan University of Science and Technology, Irbid 22110, Jordan., Wu M; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA., Carp SA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.
Jazyk:	angličtina
Zdroj:	Biomedical optics express [Biomed Opt Express] 2020 Sep 03; Vol. 11 (10), pp. 5425-5441. Date of Electronic Publication: 2020 Sep 03 (Print Publication: 2020).
DOI:	10.1364/BOE.398110
Abstrakt:	Studying tissue hemodynamics following breast compression has the potential to reveal new contrast mechanisms for evaluating breast cancer. However, how compression will be distributed and, consequently, how hemodynamics will be altered inside the compressed breast remain unclear. To explore the effect of compression, 12 healthy volunteers were studied by applying a step compression increase (4.5-53.4 N) using an optical imaging system capable of concurrently measuring pressure distribution and hemodynamic responses. Finite element analysis was used to predict the distribution of internal fluid pressure (IFP) in breast models. Comparisons between the measured pressure distribution and the reconstructed hemodynamic images for the healthy volunteers indicated significant (p < 0.05) negative correlations. The findings from a breast cancer patient showed that IFP distribution during compression strongly correlates with the observed differential hemodynamic images. We concluded that dynamic breast compression results in non-uniform internal pressure distribution throughout the breast that could potentially drive directed blood flow. The encouraging results obtained highlight the promise of developing dynamic optical imaging biomarkers for breast cancer by interpreting differential hemodynamic images of breast tissue during compression in the context of measured pressure distribution and predicted IFP. Competing Interests: The authors declare no conflicts of interest. (© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.)
Databáze:	MEDLINE
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