Evidence map›Paper›PMID 33796377›Full record

ArticleBiomedical optics express2021

Towards in-vivo label-free detection of brain tumor margins with epi-illumination tomographic quantitative phase imaging.

Paloma Casteleiro Costa, Zhe Guang, Patrick Ledwig, Zhaobin Zhang, Stewart Neill, Jeffrey J Olson, Francisco E Robles

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 60 citations in OpenAlex.

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  2. Qualitative and quantitative assessment ofBiomedical optics express · 2026
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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.

Paloma Casteleiro CostaSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID https://orcid.org/0000-0002-7824-9805
Zhe GuangWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Patrick LedwigWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Zhaobin ZhangWinship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
Stewart NeillWinship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
Jeffrey J OlsonWinship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
Francisco E RoblesSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Emory University · USGeorgia Institute of Technology · US

Funding

Stimulated Raman scattering spectroscopic optical coherence tomography (SRS-SOCT) for label-free molecular imaging of brain tumor pathologyR21CA223853 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI ROBLES, FRANCISCO E · 2018 to 2020
$606k
In-line, Non-invasive, Real-time 3D Quantitative Phase Microscopy for OrganoidsR21NS117067 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG, ROBLES, FRANCISCO E · 2020 to 2020
$426k
NCI NIH HHS R21 CA223853NINDS NIH HHS R21 NS117067
6 · The paper itself

Abstract

Brain tumor surgery involves a delicate balance between maximizing the extent of tumor resection while minimizing damage to healthy brain tissue that is vital for neurological function. However, differentiating between tumor, particularly infiltrative disease, and healthy brain in-vivo remains a significant clinical challenge. Here we demonstrate that quantitative oblique back illumination microscopy (qOBM)-a novel label-free optical imaging technique that achieves tomographic quantitative phase imaging in thick scattering samples-clearly differentiates between healthy brain tissue and tumor, including infiltrative disease. Data from a bulk and infiltrative brain tumor animal model show that qOBM enables quantitative phase imaging of thick fresh brain tissues with remarkable cellular and subcellular detail that closely resembles histopathology using hematoxylin and eosin (H&E) stained fixed tissue sections, the gold standard for cancer detection. Quantitative biophysical features are also extracted from qOBM which yield robust surrogate biomarkers of disease that enable (1) automated tumor and margin detection with high sensitivity and specificity and (2) facile visualization of tumor regions. Finally, we develop a low-cost, flexible, fiber-based handheld qOBM device which brings this technology one step closer to in-vivo clinical use. This work has significant implications for guiding neurosurgery by paving the way for a tool that delivers real-time, label-free, in-vivo brain tumor margin detection.

Identifiers

PMID33796377
PMCPMC7984798
OpenAlexW3130530302

What OpenQuestion holds

Textmetadata
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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.