Evidence map›Paper›PMID 33835913›Full record

ArticleIEEE transactions on bio-medical engineering2021

Real-Time Handheld Probe Tracking and Image Formation Using Digital Frequency-Domain Diffuse Optical Spectroscopy.

Matthew B Applegate, Robert Amelard, Carlos A Gomez, Darren Roblyer

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2021. 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. Article
  2. 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

4 authors.

Matthew B Applegate
Robert Amelard
Carlos A Gomez
Darren Roblyer

Funding

TRAINING PROGRAM IN QUANTITATIVE BIOLOGY AND PHYSIOLOGYT32GM008764 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WHITE, JOHN A. · 2001 to 2021
$5.9M
Diffuse Optical B-scan Imaging (DOBI) for Breast Cancer MonitoringF32EB026907 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI APPLEGATE, MATTHEW · 2019 to 2020
$111k
NIBIB NIH HHS F32 EB026907NIGMS NIH HHS T32 GM008764
6 · The paper itself

Abstract

objectiveFrequency-domain diffuse optical spectroscopic imaging (FD-DOS) is a non-invasive method for measuring absolute concentrations of tissue chromophores such as oxy- and deoxy-hemoglobin in vivo. The utility of FD-DOS for clinical applications such as monitoring chemotherapy response in breast cancer has previously been demonstrated, but challenges for further clinical translation, such as slow acquisition speed and lack of user feedback, remain. Here, we propose a new high speed FD-DOS instrument that allows users to freely acquire measurements over the tissue surface, and is capable of rapidly imaging large volumes of tissue.

methodsWe utilize 3D monocular probe tracking combined with custom digital FD-DOS hardware and a high-speed data processing pipeline for the instrument. Results are displayed during scanning over the surface of the sample using a probabilistic Monte Carlo light propagation model.

resultsWe show this instrument can measure absorption and scattering coefficients with an error of 7% and 1% respectively, with 0.7 mm positional accuracy. We demonstrate the equivalence of our visualization methodology with a standard interpolation approach, and demonstrate two proof-of-concept in vivo results showing superficial vasculature in the human forearm and surface contrast in a healthy human breast.

conclusionOur new FD-DOS system is able to compute chromophore concentrations in real-time (1.5 Hz) in vivo. SIGNIFICANCE: This method has the potential to improve the quality of FD-DOS image scans while reducing measurement times for a variety of clinical applications.

Indexed as

BreastDiagnostic ImagingHemoglobinsHumansMicrosurgerySpectrum AnalysisHemoglobins

Identifiers

PMID33835913
PMCPMC8612633

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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.