Evidence map›Paper›PMID 23922850›Full record

ArticlePloS one2013

Optical spectral surveillance of breast tissue landscapes for detection of residual disease in breast tumor margins.

J Quincy Brown, Torre M Bydlon, Stephanie A Kennedy, Matthew L Caldwell, Jennifer E Gallagher, Marlee Junker, Lee G Wilke, William T Barry, Joseph Geradts, Nimmi Ramanujam

Open access · goldAbstract read
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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 47 citations in OpenAlex.

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  10. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
    Review
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  19. Spectrally encoded confocal microscopy for diagnosing breast cancer in excision and margin specimens.Laboratory investigation; a journal of technical methods and pathology · 2016
    Article
  20. Article
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

10 authors at 2 institutions in 1 country.

J Quincy BrownDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America. jqbrown@tulane.edu
Torre M Bydlon
Stephanie A Kennedy
Matthew L Caldwell
Jennifer E Gallagher
Marlee Junker
Lee G Wilke
William T Barry
Joseph Geradts
Nimmi Ramanujam
Duke University · USDuke Medical Center · US

Funding

Pilot Project for the DTMI CRA ProgramUL1RR024128 · NCRR · DUKE UNIVERSITY · PI CALIFF, ROBERT M · 2006 to 2010
$48.1M
A Novel Optical Spectral Imaging System for Rapid Imaging of Breast Tumor MarginsR01EB011574 · NIBIB · DUKE UNIVERSITY · PI RAMANUJAM, NIRMALA · 2011 to 2015
$4.9M
NCRR NIH HHS 1UL1 RR024128NCRR NIH HHS UL1 RR024128NIBIB NIH HHS R01 EB011574
6 · The paper itself

Abstract

We demonstrate a strategy to "sense" the micro-morphology of a breast tumor margin over a wide field of view by creating quantitative hyperspectral maps of the tissue optical properties (absorption and scattering), where each voxel can be deconstructed to provide information on the underlying histology. Information about the underlying tissue histology is encoded in the quantitative spectral information (in the visible wavelength range), and residual carcinoma is detected as a shift in the histological landscape to one with less fat and higher glandular content. To demonstrate this strategy, fully intact, fresh lumpectomy specimens (n = 88) from 70 patients were imaged intra-operatively. The ability of spectral imaging to sense changes in histology over large imaging areas was determined using inter-patient mammographic breast density (MBD) variation in cancer-free tissues as a model system. We discovered that increased MBD was associated with higher baseline β-carotene concentrations (p = 0.066) and higher scattering coefficients (p = 0.007) as measured by spectral imaging, and a trend toward decreased adipocyte size and increased adipocyte density as measured by histological examination in BMI-matched patients. The ability of spectral imaging to detect cancer intra-operatively was demonstrated when MBD-specific breast characteristics were considered. Specifically, the ratio of β-carotene concentration to the light scattering coefficient can report on the relative amount of fat to glandular density at the tissue surface to determine positive margin status, when baseline differences in these parameters between patients with low and high MBD are taken into account by the appropriate selection of threshold values. When MBD was included as a variable a priori, the device was estimated to have a sensitivity of 74% and a specificity of 86% in detecting close or positive margins, regardless of tumor type. Superior performance was demonstrated in high MBD tissue, a population that typically has a higher percentage of involved margins.

Indexed as

Optical ImagingAdipocytesAdultAgedAged, 80 and overbeta CaroteneBreastBreast NeoplasmsDemographyFemaleHumansMammographyMiddle AgedNeoplasm, ResidualPredictive Value of TestsSensitivity and Specificitybeta Carotene

Identifiers

PMID23922850
PMCPMC3724737
OpenAlexW2008197898

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.