Evidence map›Paper›PMID 27327487›Full record

ArticleJournal of biomedical optics2016

Correlation of breast tissue histology and optical signatures to improve margin assessment techniques.

Stephanie Kennedy, Matthew Caldwell, Torre Bydlon, Christine Mulvey, Jenna Mueller, Lee Wilke, William Barry, Nimmi Ramanujam, Joseph Geradts

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

9 authors.

Stephanie KennedyDuke University, TOpS Lab, Department of Biomedical Engineering, 136 Hudson Hall, Durham, North Carolina 27708, United States.
Matthew CaldwellDuke University, TOpS Lab, Department of Biomedical Engineering, 136 Hudson Hall, Durham, North Carolina 27708, United States.
Torre BydlonDuke University, TOpS Lab, Department of Biomedical Engineering, 136 Hudson Hall, Durham, North Carolina 27708, United States.
Christine MulveyDuke University, TOpS Lab, Department of Biomedical Engineering, 136 Hudson Hall, Durham, North Carolina 27708, United States.
Jenna MuellerDuke University, TOpS Lab, Department of Biomedical Engineering, 136 Hudson Hall, Durham, North Carolina 27708, United States.
Lee WilkeUniversity of Wisconsin Breast Center, Department of Surgery, 600 Highland Avenue, Madison WI 53792, United States.
William BarryDana-Farber Cancer Institute, Department of Biostatistics and Computational Biology, 450 Brookline Avenue, CLS11007, Boston, Massachusetts 02215, United States.
Nimmi RamanujamDuke University, TOpS Lab, Department of Biomedical Engineering, 136 Hudson Hall, Durham, North Carolina 27708, United States.
Joseph GeradtsDuke University Medical Center, Department of Pathology, DUMC3712, 200 Trent Drive, Durham, North Carolina 27710, United States.

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
Optical surveillance of tumor margins in patients undergoing breast conserving suR41CA128160 · NCI · ZENALUX BIOMEDICAL, INC. · PI RAMANUJAM, NIRMALA, YU, BING · 2007 to 2007
$196k
NCI NIH HHS R41 CA128160NCRR NIH HHS UL1 RR024128NIBIB NIH HHS R01 EB011574
6 · The paper itself

Abstract

Optical spectroscopy is sensitive to morphological composition and has potential applications in intraoperative margin assessment. Here, we evaluate ex vivo breast tissue and corresponding quantified hematoxylin & eosin images to correlate optical scattering signatures to tissue composition stratified by patient characteristics. Adipose sites (213) were characterized by their cell area and density. All other benign and malignant sites (181) were quantified using a grid method to determine composition. The relationships between mean reduced scattering coefficient (〈μs′〉), and % adipose, % collagen, % glands, adipocyte cell area, and adipocyte density were investigated. These relationships were further stratified by age, menopausal status, body mass index (BMI), and breast density. We identified a positive correlation between 〈μs′〉 and % collagen and a negative correlation between 〈μs′〉 and age and BMI. Increased collagen corresponded to increased 〈μs′〉 variability. In postmenopausal women, 〈μs′〉 was similar regardless of fibroglandular content. Contributions from collagen and glands to 〈μs′〉 were independent and equivalent in benign sites; glands showed a stronger positive correlation than collagen to 〈μs′〉 in malignant sites. Our data suggest that scattering could differentiate highly scattering malignant from benign tissues in postmenopausal women. The relationship between scattering and tissue composition will support improved scattering models and technologies to enhance intraoperative optical margin assessment.

Indexed as

Histological TechniquesSpectrum AnalysisAdipose TissueAge FactorsBody Mass IndexBreast NeoplasmsFemaleHumansPostmenopause

Identifiers

PMID27327487
PMCPMC4914603

What OpenQuestion holds

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Registered trials

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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.