Evidence map›Paper›PMID 32748300›Full record

ArticleJournal of digital imaging2020

The Effect of Registration on Voxel-Wise Tofts Model Parameters and Uncertainties from DCE-MRI of Early-Stage Breast Cancer Patients Using 3DSlicer.

Matthew Mouawad, Heather Biernaski, Muriel Brackstone, Michael Lock, Anat Kornecki, Olga Shmuilovich, Ilanit Ben-Nachum, Frank S Prato, R Terry Thompson, Stewart Gaede and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of digital imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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

11 authors at 3 institutions in 1 country.

Matthew MouawadMedical Biophysics, Western University, London, ON, Canada. mmouawad@uwo.ca.
Heather BiernaskiLawson Imaging, Lawson Health Research Institute, London, ON, Canada.
Muriel BrackstoneSurgical Oncology, London Regional Cancer Program, London, ON, Canada.
Michael LockOncology, Western University, London, ON, Canada.
Anat KorneckiMedical Imaging, Western University, London, ON, Canada.
Olga ShmuilovichMedical Imaging, Western University, London, ON, Canada.
Ilanit Ben-NachumMedical Imaging, Western University, London, ON, Canada.
Frank S PratoMedical Biophysics, Western University, London, ON, Canada.
R Terry ThompsonMedical Biophysics, Western University, London, ON, Canada.
Stewart GaedeMedical Biophysics, Western University, London, ON, Canada.
Neil GelmanMedical Biophysics, Western University, London, ON, Canada.
Western University · CALawson Health Research Institute · CACancer Care Ontario · CA

Funding

CIHR 149080
6 · The paper itself

Abstract

We quantitatively investigate the influence of image registration, using open-source software (3DSlicer), on kinetic analysis (Tofts model) of dynamic contrast enhanced MRI of early-stage breast cancer patients. We also show that registration computation time can be reduced by reducing the percent sampling (PS) of voxels used for estimation of the cost function. DCE-MRI breast images were acquired on a 3T-PET/MRI system in 13 patients with early-stage breast cancer who were scanned in a prone radiotherapy position. Images were registered using a BSpline transformation with a 2 cm isotropic grid at 100, 20, 5, 1, and 0.5PS (BRAINSFit in 3DSlicer). Signal enhancement curves were analyzed voxel-by-voxel using the Tofts kinetic model. Comparing unregistered with registered groups, we found a significant change in the 90th percentile of the voxel-wise distribution of K

Indexed as

Breast NeoplasmsContrast MediaHumansKineticsMagnetic Resonance ImagingUncertaintyContrast Media3DSlicerBreast DCE-MRIComputation timeDeformable registrationImaging biomarkersPercent sampling

Identifiers

PMID32748300
PMCPMC7572994
OpenAlexW3047159106

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.