Evidence map›Paper›PMID 26479823›Full record

ArticleApplied optics2015

Alignment of sources and detectors on breast surface for noncontact diffuse correlation tomography of breast tumors.

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

Abstract read
In one paragraph

Article in Applied optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. A Wearable Fiberless Optical Sensor for Continuous Monitoring of Cerebral Blood Flow in Mice.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    Article
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.

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

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
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
NCATS NIH HHS UL1 TR000117NCI 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

Noncontact diffuse correlation tomography (ncDCT) is an emerging technology for 3D imaging of deep tissue blood flow distribution without distorting hemodynamic properties. To adapt the ncDCT for imaging in vivo breast tumors, we designed a motorized ncDCT probe to scan over the breast surface. A computer-aided design (CAD)-based approach was proposed to create solid volume mesh from arbitrary breast surface obtained by a commercial 3D camera. The sources and detectors of ncDCT were aligned on the breast surface through ray tracing to mimic the ncDCT scanning with CAD software. The generated breast volume mesh along with the boundary data of ncDCT at the aligned source and detector pairs were used for finite-element-method-based flow image reconstruction. We evaluated the accuracy of source alignments on mannequin and human breasts; largest alignment errors were less than 10% in both tangential and radial directions of scanning. The impact of alignment errors (assigned 10%) on the tumor reconstruction was estimated using computer simulations. The deviations of simulated tumor location and blood flow contrast resulted from the alignment errors were 0.77 mm (less than the node distance of 1 mm) and 1%, respectively, which result in minor impact on flow image reconstruction. Finally, a case study on a human breast tumor was conducted and a tumor-to-normal flow contrast was reconstructed, demonstrating the feasibility of ncDCT in clinical application.

Indexed as

AlgorithmsBreastBreast NeoplasmsComputer-Aided DesignComputer SimulationEquipment DesignFemaleFinite Element AnalysisHemodynamicsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalPhantoms, ImagingReproducibility of ResultsSoftwareTomography

Identifiers

PMID26479823
PMCPMC4801123

What OpenQuestion holds

Textmetadata
LicenceTDM
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.