Evidence map›Paper›PMID 21098699›Full record

ArticleCancer research2010

Molecular histopathology by spectrally reconstructed nonlinear interferometric vibrational imaging.

Praveen D Chowdary, Zhi Jiang, Eric J Chaney, Wladimir A Benalcazar, Daniel L Marks, Martin Gruebele, Stephen A Boppart

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

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  19. Coherent fiber supercontinuum for biophotonics.Laser & photonics reviews · 2013
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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 1 institution in 1 country.

Praveen D ChowdaryBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Zhi Jiang
Eric J Chaney
Wladimir A Benalcazar
Daniel L Marks
Martin Gruebele
Stephen A Boppart
University of Illinois Urbana-Champaign · US

Funding

Nonlinear Interferometric Vibrational Imaging of CancerR33CA115536 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2009 to 2010
$575k
Nonlinear Interferometric Vibrational Imaging of CancerR21CA115536 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2007 to 2008
$330k
NCI NIH HHS R21 CA115536NCI NIH HHS R21/R33 CA115536NCI NIH HHS R33 CA115536
6 · The paper itself

Abstract

Sensitive assays for rapid quantitative analysis of histologic sections, resected tissue specimens, or in situ tissue are highly desired for early disease diagnosis. Stained histopathology is the gold standard but remains a subjective practice on processed tissue taking from hours to days. We describe a microscopy technique that obtains a sensitive and accurate color-coded image from intrinsic molecular markers. Spectrally reconstructed nonlinear interferometric vibrational imaging can differentiate cancer versus normal tissue sections with greater than 99% confidence interval in a preclinical rat breast cancer model and define cancer boundaries to ± 100 μm with greater than 99% confidence interval, using fresh unstained tissue sections imaged in less than 5 minutes. By optimizing optical sources and beam delivery, this technique can potentially enable real-time point-of-care optical molecular imaging and diagnosis.

Indexed as

AnimalsBreast NeoplasmsDiagnostic ImagingFemaleHumansInterferometryMammary Glands, AnimalMammary Neoplasms, ExperimentalMethylnitrosoureaRatsRats, Inbred WFReproducibility of ResultsSensitivity and SpecificitySpectrum Analysis, RamanVibrationMethylnitrosourea

Identifiers

PMID21098699
PMCPMC3213764
OpenAlexW2138443985

What OpenQuestion holds

Textmetadata
LicenceTDM
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.