Evidence map›Paper›PMID 27463894›Full record

ArticleApplied optics2016

Differentiation of tumor vasculature heterogeneity levels in small animals based on total hemoglobin concentration using magnetic resonance-guided diffuse optical tomography in vivo.

Tiffany C Kwong, Mitchell Hsing, Yuting Lin, David Thayer, Mehmet Burcin Unlu, Min-Ying Su, Gultekin Gulsen

Abstract read
In one paragraph

Article in Applied optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 2 countries.

Tiffany C Kwong
Mitchell Hsing
Yuting Lin
David Thayer
Mehmet Burcin Unlu
Min-Ying Su
Gultekin Gulsen
University of California, Irvine · USBoğaziçi University · TR

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Development of A Multi-Modality System for Onco-ImagingR33CA120175 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2008 to 2010
$1.5M
Tomographic Molecular Imaging for Breast CancerR01EB008716 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2008 to 2011
$1.3M
Turn the heat on: High resolution fluorescence imaging via temperature modulationR21CA191389 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2015 to 2016
$407k
Fluorescence Tomography in Small Animal Imaging using an Ultra-fast RTE SolverR21EB013387 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GAO, HAO · 2011 to 2012
$345k
Development of A Multi-Modality System for Onco-ImagingR21CA120175 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2007 to 2007
$225k
Temperature Modulated-Fluorescence Tomography: A New Modality for Cancer ImagingF31CA171915 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KWONG, TIFFANY · 2012 to 2014
$106k
NCI NIH HHS F31 CA171915NCI NIH HHS P30 CA062203NCI NIH HHS R21 CA120175NCI NIH HHS R21 CA191389NCI NIH HHS R33 CA120175NIBIB NIH HHS R01 EB008716NIBIB NIH HHS R21 EB013387
6 · The paper itself

Abstract

Insight into the vasculature of the tumor in small animals has the potential to impact many areas of cancer research. The heterogeneity of the vasculature of a tumor is directly related to tumor stage and disease progression. In this small scale animal study, we investigated the feasibility of differentiating tumors with different levels of vasculature heterogeneity in vivo using a previously developed hybrid magnetic resonance imaging (MRI) and diffuse optical tomography (DOT) system for small animal imaging. Cross-sectional total hemoglobin concentration maps of 10 Fisher rats bearing R3230 breast tumors are reconstructed using multi-wavelength DOT measurements both with and without magnetic resonance (MR) structural a priori information. Simultaneously acquired MR structural images are used to guide and constrain the DOT reconstruction, while dynamic contrast-enhanced MR functional images are used as the gold standard to classify the vasculature of the tumor into two types: high versus low heterogeneity. These preliminary results show that the stand-alone DOT is unable to differentiate tumors with low and high vascular heterogeneity without structural a priori information provided by a high resolution imaging modality. The mean total hemoglobin concentrations comparing the vasculature of the tumors with low and high heterogeneity are significant (p-value 0.02) only when MR structural a priori information is utilized.

Indexed as

AnimalsBreast NeoplasmsContrast MediaFemaleHemoglobinsMagnetic Resonance ImagingRatsTomography, OpticalContrast MediaHemoglobins

Identifiers

PMID27463894
PMCPMC6839944
OpenAlexW2470201271

What OpenQuestion holds

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Read underepoch 390

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.