Evidence map›Paper›PMID 28436838›Full record

ArticleIEEE transactions on bio-medical engineering2018

Electromechanical Coupling Factor of Breast Tissue as a Biomarker for Breast Cancer.

Kihan Park, Wenjin Chen, Marina A Chekmareva, David J Foran, Jaydev P Desai

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2018. 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
2.4field-weighted citation impact, top 12% of its field
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, 37 citations in OpenAlex.

  1. Review
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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 at 2 institutions in 1 country.

Kihan Park
Wenjin Chen
Marina A Chekmareva
David J Foran
Jaydev P Desai
Rutgers, The State University of New Jersey · USGeorgia Institute of Technology · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Image Mining for Comparative Analysis of Expression Patterns in Tissue MicroarrayR01LM009239 · NLM · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J, SALTZ, JOEL H. · 2007 to 2016
$4.5M
Mechano-Visual Phenotyping of Cancer: From Onset Through Disease ProgressionR01CA161375 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI DESAI, JAYDEV P., FORAN, DAVID J · 2012 to 2016
$1.6M
NCI NIH HHS P30 CA072720NCI NIH HHS R01 CA161375NLM NIH HHS R01 LM009239
6 · The paper itself

Abstract

goalThis research aims to validate a new biomarker of breast cancer by introducing electromechanical coupling factor of breast tissue samples as a possible additional indicator of breast cancer. Since collagen fibril exhibits a structural organization that gives rise to a piezoelectric effect, the difference in collagen density between normal and cancerous tissue can be captured by identifying the corresponding electromechanical coupling factor.

methodsThe design of a portable diagnostic tool and a microelectromechanical systems (MEMS)-based biochip, which is integrated with a piezoresistive sensing layer for measuring the reaction force as well as a microheater for temperature control, is introduced. To verify that electromechanical coupling factor can be used as a biomarker for breast cancer, the piezoelectric model for breast tissue is described with preliminary experimental results on five sets of normal and invasive ductal carcinoma (IDC) samples in the 25-45 temperature range.

conclusionWhile the stiffness of breast tissues can be captured as a representative mechanical signature which allows one to discriminate among tissue types especially in the higher strain region, the electromechanical coupling factor shows more distinct differences between the normal and IDC groups over the entire strain region than the mechanical signature. From the two-sample -test, the electromechanical coupling factor under compression shows statistically significant differences ( 0.0039) between the two groups. SIGNIFICANCE: The increase in collagen density in breast tissue is an objective and reproducible characteristic of breast cancer. Although characterization of mechanical tissue property has been shown to be useful for differentiating cancerous tissue from normal tissue, using a single parameter may not be sufficient for practical usage due to inherent variation among biological samples. The portable breast cancer diagnostic tool reported in this manuscript shows the feasibility of measuring multiple parameters of breast tissue allowing for practical application.

Indexed as

BreastBreast NeoplasmsElectrodiagnosisEquipment DesignFemaleHumansMicro-Electrical-Mechanical Systems

Identifiers

PMID28436838
PMCPMC5648629
OpenAlexW2606471537

What OpenQuestion holds

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Registered trials

None linked

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.