Evidence map›Paper›PMID 24037853›Full record

ArticleLasers in surgery and medicine2013

Recovery of intrinsic fluorescence from single-point interstitial measurements for quantification of doxorubicin concentration.

Timothy M Baran, Thomas H Foster

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Lasers in surgery and medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Timothy M BaranDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, 14642.
Thomas H Foster
University of Rochester Medical Center · US

Funding

PHOTOPHYSICS OF PHOTODYNAMIC THERAPYR01CA068409 · NCI · UNIVERSITY OF ROCHESTER · PI FOSTER, THOMAS HARRISON · 1995 to 2011
$3.8M
NCI NIH HHS CA68409NCI NIH HHS R01 CA068409
6 · The paper itself

Abstract

BACKGROUND AND

objectiveWe developed a method for the recovery of intrinsic fluorescence from single-point measurements in highly scattering and absorbing samples without a priori knowledge of the sample optical properties. The goal of the study was to demonstrate accurate recovery of fluorophore concentration in samples with widely varying background optical properties, while simultaneously recovering the optical properties. MATERIALS AND

methodsTissue-simulating phantoms containing doxorubicin, MnTPPS, and Intralipid-20% were created, and fluorescence measurements were performed using a single isotropic probe. The resulting spectra were analyzed using a forward-adjoint fluorescence model in order to recover the fluorophore concentration and background optical properties.

resultsWe demonstrated recovery of doxorubicin concentration with a mean error of 11.8%. The concentration of the background absorber was recovered with an average error of 23.2% and the scattering spectrum was recovered with a mean error of 19.8%.

conclusionThis method will allow for the determination of local concentrations of fluorescent drugs, such as doxorubicin, from minimally invasive fluorescence measurements. This is particularly interesting in the context of transarterial chemoembolization (TACE) treatment of liver cancer.

Indexed as

Models, TheoreticalSpectrometry, FluorescenceAntibiotics, AntineoplasticDoxorubicinFluorescenceLasers, SemiconductorAntibiotics, AntineoplasticDoxorubicinfluorescence spectroscopyP3 approximationradiative transport equationTACE

Identifiers

PMID24037853
PMCPMC3936788
OpenAlexW1584985394

What OpenQuestion holds

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LicenceTDM
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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.