Evidence map›Paper›PMID 40312888›Full record

ArticleMagnetic resonance in medicine2025

Three-dimensional high-resolution T

Mauricio Contreras, Cody Callahan, Gopal Varma, Aaron K Grant

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Mauricio ContrerasDepartment of Surgery, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Cody CallahanDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA.
Gopal VarmaDepartment of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-7060-1982
Aaron K GrantDepartment of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-2605-8062

Funding

Carbon-13 Polarizer for Metabolic MR ImagingS10OD021768 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI YEN, YI-FEN · 2017 to 2017
$1.9M
Improved methods for perfusion imaging with hyperpolarized carbon-13R01EB028824 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GRANT, AARON KEITH · 2020 to 2023
$1.6M
Hyperpolarized MR-PET for evaluating mitochondrial function and availability in an Alzheimers Disease ModelR21AG086721 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI WEY, HSIAO-YING, YEN, YI-FEN · 2024 to 2024
$456k
NIA NIH HHS R21 AG086721NIBIB NIH HHS R01 EB028824NIH HHS 1S10OD021768-01A1NIH HHS R01 EB028824NIH HHS S10 OD021768
6 · The paper itself

Abstract

purposeTo develop methods for three-dimensional relaxometry and quantitative perfusion imaging using hyperpolarized [2-

methodsA hybrid method consisting of rapid two-dimensional imaging of the arterial input followed by slower three-dimensional variable tip-angle balanced steady state free-precession imaging of the brain is implemented. Image data are analyzed to extract the signal amplitude and T

resultsEffective T

conclusionHyperpolarized TBA provides sufficient sensitivity and tissue residence time to enable three-dimensional mapping of relaxation and blood flow at 1.2-1.5-mm

Indexed as

BrainBrain IschemiaImaging, Three-DimensionalMagnetic Resonance ImagingPerfusion ImagingAnimalsCarbon IsotopesCerebrovascular CirculationImage Processing, Computer-AssistedMaleRatsRats, Sprague-DawleyCarbon Isotopeshyperpolarizationneuroimagingperfusion

Identifiers

PMID40312888
PMCPMC12393690

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.