Evidence map›Paper›PMID 26597845›Full record

ArticleMagnetic resonance in medicine2016

Peng Cao, Xiaoliang Zhang, Ilwoo Park, Chloe Najac, Sarah J Nelson, Sabrina Ronen, Peder E Z Larson

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. AJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  2. Magnetic resonance in medicine · 2021
    Article
  3. Comparison of hyperpolarizedMagnetic resonance in medicine · 2021
    Article
  4. Review
  5. 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

7 authors.

Peng CaoDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.
Xiaoliang ZhangDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.
Ilwoo ParkDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.
Chloe NajacDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.
Sarah J NelsonDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.
Sabrina RonenDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA.
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA. peder.larson@ucsf.edu.ORCID 0000-0003-4183-3634

Funding

Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Pavithra Viswanath · 2007 to 2026
$44.7M
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUAN XU · 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
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
Hyperpolarized C-13 Diffusion MRI Measures of Cellular Transport and MetabolismR01EB016741 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARSON, PEDER ERIC ZUFALL · 2014 to 2017
$2.0M
Multichannel Dual-tuned Transceiver Techniques for Human Low-Gamma Nuclei MRR01EB008699 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZHANG, XIAOLIANG · 2010 to 2013
$1.3M
Hyperpolarized C-13 MR Pulse Sequence Developments for Novel ContrastR00EB012064 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARSON, PEDER ERIC ZUFALL · 2011 to 2013
$681k
NCI NIH HHS P01 CA118816NCI NIH HHS R01 CA154915NCI NIH HHS R01 CA172845NIBIB NIH HHS P41 EB013598NIBIB NIH HHS R00 EB012064NIBIB NIH HHS R01 EB008699NIBIB NIH HHS R01 EB016741
6 · The paper itself

Abstract

purposeTo develop a lump-element double-tuned common-mode-differential-mode (CMDM) radiofrequency (RF) surface coil with independent frequency tuning capacity for MRS and MRI applications.

methodsThe presented design has two modes that can operate with different current paths, allowing independent frequency adjustment. The coil prototype was tested on the bench and then examined in phantom and in vivo experiments.

resultsStandard deviations of frequency and impedance fluctuations measured in one resonator, while changing the tuning capacitor of another resonator, were less than 13 kHz and 0.55 Ω. The unloaded S21 was -36 dB and -41 dB, while the unloaded Q factor was 260 and 287, for

conclusionIndependent frequency tuning capacity was demonstrated in the presented lump-element double-tuned CMDM coil. This CMDM coil maintained intrinsically decoupled magnetic fields, which provided sufficient isolation between the two resonators. The results from in vivo experiments demonstrated high sensitivity of both the

Indexed as

Brain ChemistryAnimalsCarbon-13 Magnetic Resonance SpectroscopyComputer-Aided DesignEquipment DesignEquipment Failure AnalysisMagnetic Resonance ImagingMagneticsMolecular ImagingProton Magnetic Resonance SpectroscopyRatsReproducibility of ResultsSensitivity and Specificity13Ccarbon-13CMDMcommon-mode-differential-modedouble-tunedhyperpolarizationRF coiltuning

Identifiers

PMID26597845
PMCPMC4879596

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.