Evidence map›Paper›PMID 37292485›Full record

ArticleArXiv2023

ECCENTRIC: a fast and unrestrained approach for high-resolution in vivo metabolic imaging at ultra-high field MR.

Antoine Klauser, Bernhard Strasser, Wolfgang Bogner, Lukas Hingerl, Sebastien Courvoisier, Claudiu Schirda, Francois Lazeyras, Ovidiu C Andronesi

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Antoine KlauserAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.
Bernhard StrasserAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.
Wolfgang BognerHigh-Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Lukas HingerlHigh-Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Sebastien CourvoisierDepartment of Radiology and Medical Informatics, University of Geneva, Switzerland.
Claudiu SchirdaDepartment of Radiology, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA.
Francois LazeyrasDepartment of Radiology and Medical Informatics, University of Geneva, Switzerland.
Ovidiu C AndronesiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Development of whole-brain in vivo 2HG imaging for precision medicine in mutant IDH gliomaR01CA211080 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Ovidiu C Andronesi · 2017 to 2026
$5.4M
Development of next generation 2HG and metabolic MR imaging for precision oncology of mutant IDH and wildtype glioma patientsR01CA255479 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ANDRONESI, OVIDIU C · 2021 to 2025
$3.0M
NCI NIH HHS R01 CA211080NCI NIH HHS R01 CA255479NIBIB NIH HHS P41 EB015896
6 · The paper itself

Abstract

A novel method for fast and high-resolution metabolic imaging, called ECcentric Circle ENcoding TRajectorIes for Compressed sensing (ECCENTRIC), has been developed and implemented at 7 Tesla MRI. ECCENTRIC is a non-Cartesian spatial-spectral encoding method optimized to accelerate magnetic resonance spectroscopic imaging (MRSI) with high signal-to-noise at ultra-high field. The approach provides flexible and random

Identifiers

PMID37292485
PMCPMC10246065

What OpenQuestion holds

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Registered trials

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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.