Evidence map›Paper›PMID 24358243›Full record

ArticlePloS one2013

Rapid determination of oxygen saturation and vascularity for cancer detection.

Fangyao Hu, Karthik Vishwanath, Justin Lo, Alaattin Erkanli, Christine Mulvey, Walter T Lee, Nimmi Ramanujam

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 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
1.6field-weighted citation impact, top 17% 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, 16 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

7 authors at 2 institutions in 1 country.

Fangyao HuDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Karthik VishwanathDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Justin LoDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Alaattin ErkanliDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America.
Christine MulveyDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Walter T LeeDivision of Otolaryngology-Head and Neck Surgery, Duke University Medical Center, Durham, North Carolina, United States of America ; Section of Otolaryngology-Head and Neck Surgery, Veterans Administration Medical Center, Durham, North Carolina, United States of America.
Nimmi RamanujamDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Duke University · USDuke Medical Center · US

Funding

A Novel Optical Spectral Imaging System for Rapid Imaging of Breast Tumor MarginsR01EB011574 · NIBIB · DUKE UNIVERSITY · PI RAMANUJAM, NIRMALA · 2011 to 2015
$4.9M
Diagnosis of Breast Cancer with Optical SpectroscopyR01CA100559 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI RAMANUJAM, NIRMALA · 2004 to 2007
$1.0M
Can Optical Spectroscopy Predict Early Treatment Response in Solid TumorsR00CA140783 · NCI · RADIATION MONITORING DEVICES, INC. · PI VISHWANATH, KARTHIK · 2012 to 2014
$611k
Fiber Probe designs for Epithelial Precancer DetectionR21CA108490 · NCI · DUKE UNIVERSITY · PI RAMANUJAM, NIRMALA · 2006 to 2007
$271k
NCI NIH HHS 1R01CA 100559-05NCI NIH HHS 1 R21CA 108490-01A2NCI NIH HHS R00 CA140783NCI NIH HHS R01 CA100559NCI NIH HHS R21 CA108490NIBIB NIH HHS 1R01EB011574-01A1NIBIB NIH HHS R01 EB011574
6 · The paper itself

Abstract

A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications.

Indexed as

AlgorithmsBreast NeoplasmsComputer SimulationEarly Detection of CancerFemaleHead and Neck NeoplasmsHemoglobinsHumansNeoplasmsNeovascularization, PathologicOxygenOxygen ConsumptionPhantoms, ImagingRadiometryUterine Cervical DysplasiaUterine Cervical NeoplasmsHemoglobinsOxygen

Identifiers

PMID24358243
PMCPMC3865147
OpenAlexW2073196665

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.