Evidence map›Paper›PMID 22894524›Full record

ArticleJournal of biomedical optics2012

Experimental validation of an inverse fluorescence Monte Carlo model to extract concentrations of metabolically relevant fluorophores from turbid phantoms and a murine tumor model.

Chengbo Liu, Narasimhan Rajaram, Karthik Vishwanath, Tony Jiang, Gregory M Palmer, Nirmala Ramanujam

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 23 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

6 authors at 3 institutions in 2 countries.

Chengbo LiuXi'an Jiaotong University, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Biomedical Analytical Technology and Instrumentation, School of Life Science and Technology, No. 28 Xianning West Road, Xi'an 710049, China.
Narasimhan Rajaram
Karthik Vishwanath
Tony Jiang
Gregory M Palmer
Nirmala Ramanujam
Duke University · USDuke Medical Center · USXi'an Jiaotong University · CN

Funding

Can Optical Spectroscopy Predict Early Treatment Response in Solid TumorsK99CA140783 · NCI · DUKE UNIVERSITY · PI VISHWANATH, KARTHIK · 2010 to 2011
$206k
NCI NIH HHS 5K99CA140783-02NCI NIH HHS K99 CA140783
6 · The paper itself

Abstract

An inverse Monte Carlo based model has been developed to extract intrinsic fluorescence from turbid media. The goal of this work was to experimentally validate the model to extract intrinsic fluorescence of three biologically meaningful fluorophores related to metabolism from turbid media containing absorbers and scatterers. Experimental studies were first carried out on tissue-mimicking phantoms that contained individual fluorophores and their combinations, across multiple absorption, scattering, and fluorophore concentrations. The model was then tested in a murine tumor model to determine both the kinetics of fluorophore uptake as well as overall tissue fluorophore concentration through extraction of the intrinsic fluorescence of an exogenous contrast agent that reports on glucose uptake. Results show the model can be used to recover the true intrinsic fluorescence spectrum with high accuracy (R(2)=0.988) as well as accurately compute fluorophore concentration in both single and multiple fluorophores phantoms when appropriate calibration standards are available. In the murine tumor, the model-corrected intrinsic fluorescence could be used to differentiate drug dose injections between different groups. A strong linear correlation was observed between the extracted intrinsic fluorescence intensity and injected drug dose, compared with the distorted turbid tissue fluorescence.

Indexed as

Models, BiologicalModels, StatisticalAnimalsBiomarkers, TumorComputer SimulationMiceMicroscopy, FluorescenceMolecular ImagingMonte Carlo MethodNephelometry and TurbidimetryPhantoms, ImagingBiomarkers, Tumor

Identifiers

PMID22894524
PMCPMC3408318
OpenAlexW2072801726

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.