Evidence map›Paper›PMID 25128621›Full record

ArticleBiosensors & bioelectronics2015

Accurate characterization of benign and cancerous breast tissues: aspecific patient studies using piezoresistive microcantilevers.

Hardik J Pandya, Rajarshi Roy, Wenjin Chen, Marina A Chekmareva, David J Foran, Jaydev P Desai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Robot-Guided Atomic Force Microscopy for Mechano-Visual Phenotyping of Cancer Specimens.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2015
    Article
  8. Design and fabrication of a flexible MEMS-based electromechanical sensor array for breast cancer diagnosis.Journal of micromechanics and microengineering : structures, devices, and systems · 2015
    Article
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

6 authors.

Hardik J PandyaDepartment of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, MD 20742, USA. Electronic address: hjpandya@umd.edu.
Rajarshi RoyDepartment of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, MD 20742, USA.
Wenjin ChenCenter for Biomedical Imaging & Informatics, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Marina A ChekmarevaDepartment of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA.
David J ForanCenter for Biomedical Imaging & Informatics, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Jaydev P DesaiDepartment of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, MD 20742, USA.

Funding

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 R01 CA161375NCI NIH HHS R01CA161375NLM NIH HHS R01 LM009239
6 · The paper itself

Abstract

Breast cancer is the largest detected cancer amongst women in the US. In this work, our team reports on the development of piezoresistive microcantilevers (PMCs) to investigate their potential use in the accurate detection and characterization of benign and diseased breast tissues by performing indentations on the micro-scale tissue specimens. The PMCs used in these experiments have been fabricated using laboratory-made silicon-on-insulator (SOI) substrate, which significantly reduces the fabrication costs. The PMCs are 260 μm long, 35 μm wide and 2 μm thick with resistivity of order 1.316×10(-3) Ω cm obtained by using boron diffusion technique. For indenting the tissue, we utilized 8 μm thick cylindrical SU-8 tip. The PMC was calibrated against a known AFM probe. Breast tissue cores from seven different specimens were indented using PMC to identify benign and cancerous tissue cores. Furthermore, field emission scanning electron microscopy (FE-SEM) of benign and cancerous specimens showed marked differences in the tissue morphology, which further validates our observed experimental data with the PMCs. While these patient aspecific feasibility studies clearly demonstrate the ability to discriminate between benign and cancerous breast tissues, further investigation is necessary to perform automated mechano-phenotyping (classification) of breast cancer: from onset to disease progression.

Indexed as

Biosensing TechniquesBreastBreast NeoplasmsFemaleHumansMicro-Electrical-Mechanical SystemsMicroscopy, Electron, ScanningSiliconSiliconBreast cancerMEMS sensorPiezoresistive microcantileverTissue microarray

Identifiers

PMID25128621
PMCPMC4167594

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Registered trials

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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.