Evidence map›Paper›PMID 26259706›Full record

ArticleJournal of biomedical optics2015

Noncontact diffuse correlation tomography of human breast tumor.

Lian He, Yu Lin, Chong Huang, Daniel Irwin, Margaret M Szabunio, Guoqiang Yu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  7. Imaging Dynamics Beneath Turbid Media via Parallelized Single-Photon Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
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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

6 authors at 1 institution in 1 country.

Lian HeUniversity of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
Yu LinUniversity of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
Chong HuangUniversity of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
Daniel IrwinUniversity of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
Margaret M SzabunioUniversity of Kentucky, Markey Cancer Center, Division of Women's Radiology, 800 Rose Street, Lexington, Kentucky 40536, United States.
Guoqiang YuUniversity of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
University of Kentucky · US

Funding

KENTUCKY CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR033173 · NCRR · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2011 to 2011
$3.5M
The University of Kentucky Cancer Nanotechnology Training Center (UK CNTC)R25CA153954 · NCI · UNIVERSITY OF KENTUCKY · PI ANDERSON, BRADLEY D, EVERS, BERNARD MARK · 2010 to 2014
$1.6M
Diffuse Optical Monitoring of Head and Neck Tumor TherapyR01CA149274 · NCI · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2010 to 2014
$1.4M
Non-contact Diffuse Optical Assessment of Pressure Ulcer and TherapyR21AR062356 · NIAMS · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2012 to 2013
$350k
NCI NIH HHS R01 CA149274NCI NIH HHS R01-CA149274NCI NIH HHS R25 CA153954NCI NIH HHS R25-CA153954NCRR NIH HHS UL1 RR033173NCRR NIH HHS UL-1RR033173NIAMS NIH HHS R21 AR062356NIAMS NIH HHS R21-AR062356
6 · The paper itself

Abstract

Our first step to adapt our recently developed noncontact diffuse correlation tomography (ncDCT) system for three-dimensional (3-D) imaging of blood flow distribution in human breast tumors is reported. A commercial 3-D camera was used to obtain breast surface geometry, which was then converted to a solid volume mesh. An ncDCT probe scanned over a region of interest on the mesh surface and the measured boundary data were combined with a finite element framework for 3-D image reconstruction of blood flow distribution. This technique was tested in computer simulations and in vivo human breasts with low-grade carcinoma. Results from computer simulations suggest that relatively high accuracy can be achieved when the entire tumor is within the sensitive region of diffuse light. Image reconstruction with a priori knowledge of the tumor volume and location can significantly improve the accuracy in recovery of tumor blood flow contrasts. In vivo imaging results from two breast carcinomas show higher average blood flow contrasts (5.9- and 10.9-fold) in the tumor regions compared to the surrounding tissues, which are comparable with previous findings using diffuse correlation spectroscopy. The ncDCT system has the potential to image blood flow distributions in soft and vulnerable tissues without distorting tissue hemodynamics

Indexed as

Blood Flow VelocityBreast NeoplasmsEquipment DesignEquipment Failure AnalysisFemaleHumansImage EnhancementLensesMiddle AgedNeovascularization, PathologicReproducibility of ResultsSensitivity and SpecificityTomography, Optical

Identifiers

PMID26259706
PMCPMC4688914
OpenAlexW1590177758

What OpenQuestion holds

Textmetadata
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.