Evidence map›Paper›PMID 24010002›Full record

ArticleBiomedical optics express2013

Method of detecting tissue contact for fiber-optic probes to automate data acquisition without hardware modification.

Sarah Ruderman, Scott Mueller, Andrew Gomes, Jeremy Rogers, Vadim Backman

Abstract read
In one paragraph

Article in Biomedical optics express, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Hemoglobin parameters from diffuse reflectance data.Journal of biomedical optics · 2014
    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

5 authors.

Sarah RudermanDepartment of Biomedical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA.
Scott Mueller
Andrew Gomes
Jeremy Rogers
Vadim Backman

Funding

Novel Biophotonics Methodology for Colon Cancer ScreeningR01CA128641 · NCI · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM · 2008 to 2012
$7.3M
Mechanisms of Light Scattering in Living TissuesR01EB003682 · NIBIB · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM, PRADHAN, PRABHAKAR · 2005 to 2013
$2.2M
Spectroscopy of blood supply changes in early precancerR01CA109861 · NCI · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM · 2005 to 2013
$1.7M
Depth-Resolved Imaging of Alterations in Mucosal MicrocirculationF31CA144561 · NCI · NORTHWESTERN UNIVERSITY · PI RUDERMAN, SARAH K · 2010 to 2013
$138k
NCI NIH HHS F31 CA144561NCI NIH HHS R01 CA109861NCI NIH HHS R01 CA128641NIBIB NIH HHS R01 EB003682
6 · The paper itself

Abstract

We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%. Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.

Indexed as

(060.2310) Fiber optics(120.1880) Detection(170.1610) Clinical applications(170.6510) Spectroscopy, tissue diagnostics(230.3120) Integrated optics devices

Identifiers

PMID24010002
PMCPMC3756576

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.