Evidence map›Paper›PMID 27748708›Full record

ReviewTopics in magnetic resonance imaging : TMRI2016

Metabolic Imaging in Humans.

Taylor L Fuss, Leo L Cheng

Open access · greenAbstract readReview
In one paragraph

Review in Topics in magnetic resonance imaging : TMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. IntegratingNeuroImage · 2022
    Article
  4. Article
  5. Review
  6. A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics.IEEE/ACM transactions on computational biology and bioinformatics
    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

2 authors at 2 institutions in 2 countries.

Taylor L FussDepartments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Leo L Cheng
California Native Plant Society · USMassachusetts General Hospital · US

Funding

Characterizing Prostate Cancer By ex vivo MRS SignaturesR01CA115746 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHENG, LEO L · 2006 to 2017
$6.4M
Development of Metabolomic and Molecular Probes for Prostate Cancer AssessmentR21CA162959 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHENG, LEO L · 2011 to 2012
$418k
NCI NIH HHS R01 CA115746NCI NIH HHS R21 CA162959
6 · The paper itself

Abstract

Metabolic imaging enhances understanding of disease metabolisms and holds great potential as a measurement tool for evaluating disease prognosis and treatment effectiveness. Advancement of techniques, such as magnetic resonance spectroscopy, positron emission tomography, and mass spectrometry, allows for improved accuracy for quantification of metabolites and present unique possibilities for use in clinic. This article reviews and discusses literature reports of metabolic imaging in humans published since 2010 according to disease type, including cancer, degenerative disorders, psychiatric disorders, and others, as well as the current application of the various related techniques.

Indexed as

Magnetic Resonance ImagingMetabolismPositron-Emission TomographyBiomarkers, TumorBrainHumansNervous System DiseasesNeurotransmitter AgentsBiomarkers, TumorNeurotransmitter Agents

Identifiers

PMID27748708
PMCPMC5117434
OpenAlexW2523756539

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.