Evidence map›Paper›PMID 33149960›Full record

ArticleBiomedical optics express2020

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

Rabah M Al Abdi, Bin Deng, Heba H Hijazi, Melissa Wu, Stefan A Carp

Abstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rabah M Al AbdiBiomedical Engineering Department, Jordan University of Science and Technology, Irbid 22110, Jordan.ORCID https://orcid.org/0000-0002-5927-7341
Bin DengAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.ORCID https://orcid.org/0000-0001-8347-1104
Heba H HijaziDepartment of Health Management and Policy, Jordan University of Science and Technology, Irbid 22110, Jordan.
Melissa WuAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.
Stefan A CarpAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.ORCID https://orcid.org/0000-0003-4617-3233

Funding

Dynamic Optical Imaging Biomarkers of Tumor Response to TherapyR01CA187595 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2015 to 2019
$2.6M
Multiparametric multimodal imaging for breast cancer neoadjuvant chemotherapy monitoringK01EB027726 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI DENG, BIN · 2019 to 2022
$563k
NCI NIH HHS R01 CA187595NIBIB NIH HHS K01 EB027726
6 · The paper itself

Abstract

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.

Identifiers

PMID33149960
PMCPMC7587258

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.