Evidence map›Paper›PMID 33432613›Full record

ArticleMagnetic resonance in medicine2021

Free-breathing

Youngwook Kee, Christopher M Sandino, Ali B Syed, Joseph Y Cheng, Ann Shimakawa, Timothy J Colgan, Diego Hernando, Shreyas S Vasanawala

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors at 3 institutions in 1 country.

Youngwook KeeDepartments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA.ORCID 0000-0001-7211-9711
Christopher M SandinoDepartments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA.ORCID 0000-0002-8360-0153
Ali B SyedDepartments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA.
Joseph Y ChengDepartments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA.
Ann ShimakawaGlobal MR Applications and Workflow, GE Healthcare, Menlo Park, California, USA.
Timothy J ColganDepartments of Radiology and Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Madison, Wisconsin, USA.ORCID 0000-0002-4400-7525
Diego HernandoDepartments of Radiology and Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Madison, Wisconsin, USA.
Shreyas S VasanawalaDepartments of Radiology and Electrical Engineering, Stanford University, Magnetic Resonance Systems Research Lab (MRSRL), Stanford, California, USA.
Resonance Research (United States) · USUniversity of Wisconsin–Madison · USApplied Sciences Laboratory (United States) · US

Funding

MRI methods for high resolution imaging of the lungR01HL136965 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, KEVIN MICHAEL, LARSON, PEDER ERIC ZUFALL · 2018 to 2021
$2.7M
Development and Validation of Radiation-Free Pediatric Renal Function QuantificationR01EB026136 · NIBIB · STANFORD UNIVERSITY · PI VASANAWALA, SHREYAS S · 2018 to 2021
$2.7M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
MRI-based Quantitative Susceptibility Mapping of Hepatic Iron OverloadR01DK117354 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2018 to 2021
$2.3M
NHLBI NIH HHS R01 HL136965NIBIB NIH HHS R01 EB026136NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK117354
6 · The paper itself

Abstract

purposeTo enable motion-robust, ungated, free-breathing

methodsA golden-ratio re-ordered 3D multi-echo UTE cones acquisition was developed with chemical-shift encoding (CSE). Multi-echo complex-valued source images were reconstructed via gridding and coil combination, followed by confounder-corrected

resultsROI-based regression analysis showed a linear relationship between gadolinium concentration and

conclusionGolden-ratio re-ordered 3D multi-echo UTE Cones MRI enabled motion-robust, ungated, and free-breathing

Indexed as

Image EnhancementIron OverloadChildHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalLiverMagnetic Resonance ImagingRespiration3D multi-echo UTE cones k-space sampling trajectorychemical-shift-encoded MRIconfounder-correctedfree-breathing liverhepatic iron overload

Identifiers

PMID33432613
PMCPMC8886621
OpenAlexW3118389746

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.