Evidence map›Paper›PMID 34775639›Full record

ArticleMagnetic resonance in medicine2022

Acquisition and quantification pipeline for in vivo hyperpolarized

Donghyun Hong, Georgios Batsios, Pavithra Viswanath, Anne Marie Gillespie, Manushka Vaidya, Peder E Z Larson, Sabrina M Ronen

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. 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
0.2field-weighted citation impact, top 49% 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, 4 citations in OpenAlex.

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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 1 institution in 1 country.

Donghyun HongDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-2447-2208
Georgios BatsiosDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-2340-1486
Pavithra ViswanathDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Anne Marie GillespieDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Manushka VaidyaDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-1473-2590
Peder E Z LarsonDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-4183-3634
Sabrina M RonenDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · US

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kate Taylor Shumate · 1999 to 2026
$209.7M
Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Susan M Chang, Janine Marie Lupo · 2007 to 2026
$44.7M
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Daniel B Vigneron · 2011 to 2026
$19.9M
Metabolic Reprogramming in Brain TumorsR01CA172845 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RONEN, SABRINA MIRIAM · 2013 to 2022
$6.3M
Metabolic Imaging of Brain Tumor Response to TherapyR01CA197254 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RONEN, SABRINA MIRIAM · 2016 to 2020
$3.2M
IMAGING TELOMERE MAINTENANCE MECHANISMS IN GLIOMASR01CA239288 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RONEN, SABRINA MIRIAM, VISWANATH, PAVITHRA · 2020 to 2024
$3.2M
MR Metabolic Imaging of Response to Targeted Therapies in GBMR01CA154915 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NELSON, SARAH J., RONEN, SABRINA MIRIAM · 2011 to 2015
$2.7M
NCI NIH HHS P01 CA118816NCI NIH HHS P30 CA082103NCI NIH HHS R01 CA154915NCI NIH HHS R01 CA172845NCI NIH HHS R01 CA197254NCI NIH HHS R01 CA239288NIBIB NIH HHS P41 EB013598
6 · The paper itself

Abstract

purposeThe goal of this study was to combine a specialized acquisition method with a new quantification pipeline to accurately and efficiently probe the metabolism of hyperpolarized

methodsWe used a multiband metabolite-specific radiofrequency (RF) excitation in combination with a variable flip angle scheme to minimize substrate polarization loss and measure fast metabolic processes. We then applied spectral-temporal denoising using singular value decomposition to enhance spectral quality. This was combined with LCModel-based automatic

resultsDenoising improved the metabolite signal-to-noise ratio (SNR) by approximately 5. It also improved the accuracy of metabolite quantification as evidenced by a significant reduction of the Cramer Rao lower bounds. Furthermore, the use of the automated and user-independent LCModel-based quantification approach could be performed rapidly, with the kinetic quantification of eight metabolite peaks in a 12-spectrum array achieved in less than 1 minute.

conclusionThe specialized acquisition method combined with denoising and a new quantification pipeline using LCModel for the first time for hyperpolarized

Indexed as

Brain NeoplasmsPyruvic AcidAnimalsCarbon IsotopesKineticsMagnetic Resonance SpectroscopyRatsSignal-To-Noise RatioCarbon IsotopesPyruvic Acidbrain tumordenoisinghyperpolarized 13C MRSLCModelmultiband excitationvariable flip angle correction

Identifiers

PMID34775639
PMCPMC8830804
OpenAlexW3213719109

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.