Evidence map›Paper›PMID 28241273›Full record

ArticleJournal of biomedical optics2017

Miniature spectral imaging device for wide-field quantitative functional imaging of the morphological landscape of breast tumor margins.

Brandon S Nichols, Antonio Llopis, Gregory M Palmer, Samuel S McCachren, Ozlem Senlik, David Miller, Martin A Brooke, Nan M Jokerst, Joseph Geradts, Rachel Greenup and 1 more

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

11 authors.

Brandon S NicholsDuke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States.
Antonio LlopisDuke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
Gregory M PalmerDuke University Medical Center, Department of Radiation Oncology, Medicine Circle, Durham, North Carolina, United States.
Samuel S McCachrenDuke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States.
Ozlem SenlikDuke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
David MillerDuke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
Martin A BrookeDuke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
Nan M JokerstDuke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
Joseph GeradtsDuke University Medical Center, Department of Pathology, Durham, North Carolina, United States.
Rachel GreenupDuke University Medical Center, Department of Surgery, Durham, North Carolina, United States.
Nimmi RamanujamDuke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States.

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
Fast Spectral Imaging Device For Tumor Margin MappingR42CA128160 · NCI · ZENALUX BIOMEDICAL, INC. · PI RAMANUJAM, NIRMALA · 2009 to 2011
$1.2M
NCI NIH HHS R42 CA128160NIBIB NIH HHS R01 EB011574
6 · The paper itself

Abstract

We have developed a portable, breast margin assessment probe leveraging diffuse optical spectroscopy to quantify the morphological landscape of breast tumor margins during breast conserving surgery. The approach presented here leverages a custom-made 16-channel annular photodiode imaging array (arranged in a 4 × 4 grid), a raster-scanning imaging platform with precision pressure control, and compressive sensing with an optimized set of eight wavelengths in the visible spectral range. A scalable Monte-Carlo-based inverse model is used to generate optical property [ ? s ? ( ? ) and ? a ( ? ) ] measures for each of the 16 simultaneously captured diffuse reflectance spectra. Subpixel sampling (0.75 mm) is achieved through incremental x , y raster scanning of the imaging probe, providing detailed optical parameter maps of breast margins over a 2 × 2 ?? cm 2 area in ? 9 ?? min . The morphological landscape of a tumor margin is characterized using optical surrogates for the fat to fibroglandular content ratio, which has demonstrated diagnostic utility in delineating tissue subtypes in the breast.

Indexed as

Breast NeoplasmsFemaleHumansMastectomy, SegmentalMiniaturizationMonte Carlo MethodSpectrum Analysis

Identifiers

PMID28241273
PMCPMC5321165

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.