Evidence map›Paper›PMID 24089930›Full record

ArticleMedical physics2013

Integration of microwave tomography with magnetic resonance for improved breast imaging.

Paul M Meaney, Amir H Golnabi, Neil R Epstein, Shireen D Geimer, Margaret W Fanning, John B Weaver, Keith D Paulsen

Open access · bronzeAbstract read
In one paragraph

Article in Medical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging.IEEE transactions on microwave theory and techniques · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Microwave Sensors for Breast Cancer Detection.Sensors (Basel, Switzerland) · 2018
    Review
  14. Article
  15. Article
  16. Surface Estimation for Microwave Imaging.Sensors (Basel, Switzerland) · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Open-Ended Coaxial Dielectric Probe Effective Penetration Depth Determination.IEEE transactions on microwave theory and techniques · 2016
    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

7 authors at 3 institutions in 1 country.

Paul M MeaneyThayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755.
Amir H Golnabi
Neil R Epstein
Shireen D Geimer
Margaret W Fanning
John B Weaver
Keith D Paulsen
Dartmouth College · USDartmouth–Hitchcock Medical Center · USMassachusetts General Hospital · US

Funding

MR Microwave Absorption and Tomography ImagingR33CA102938 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D. · 2006 to 2008
$1.4M
NCI NIH HHS R33 CA102938NCI NIH HHS R33-CA102938
6 · The paper itself

Abstract

purposeBreast magnetic resonance imaging is highly sensitive but not very specific for the detection of breast cancer. Opportunities exist to supplement the image acquisition with a more specific modality provided the technical challenges of meeting space limitations inside the bore, restricted breast access, and electromagnetic compatibility requirements can be overcome. Magnetic resonance (MR) and microwave tomography (MT) are complementary and synergistic because the high resolution of MR is used to encode spatial priors on breast geometry and internal parenchymal features that have distinct electrical properties (i.e., fat vs fibroglandular tissue) for microwave tomography.

methodsThe authors have overcome integration challenges associated with combining MT with MR to produce a new coregistered, multimodality breast imaging platform--magnetic resonance microwave tomography, including: substantial illumination tank size reduction specific to the confined MR bore diameter, minimization of metal content and composition, reduction of metal artifacts in the MR images, and suppression of unwanted MT multipath signals.

resultsMR SNR exceeding 40 dB can be obtained. Proper filtering of MR signals reduces MT data degradation allowing MT SNR of 20 dB to be obtained, which is sufficient for image reconstruction. When MR spatial priors are incorporated into the recovery of MT property estimates, the errors between the recovered versus actual dielectric properties approach 5%.

conclusionsThe phantom and human subject exams presented here are the first demonstration of combining MT with MR to improve the accuracy of the reconstructed MT images.

Indexed as

BreastMicrowavesSystems IntegrationAdultArtifactsFemaleHumansMagnetic Resonance ImagingPhantoms, ImagingTomography

Identifiers

PMID24089930
PMCPMC3785540
OpenAlexW1976388465

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.