Evidence map›Paper›PMID 29459844›Full record

ReviewFrontiers in neurology2018

Magnetic Resonance Spectroscopy, Positron Emission Tomography and Radiogenomics-Relevance to Glioma.

Gloria C Chiang, Ilhami Kovanlikaya, Changho Choi, Rohan Ramakrishna, Rajiv Magge, Dikoma C Shungu

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. CXCR4 expression in glioblastoma tissue and the potential for PET imaging and treatment with [European journal of nuclear medicine and molecular imaging · 2022
    Article
  14. Review
  15. Review
  16. Magnetic resonance spectroscopy for the study of cns malignancies.Progress in nuclear magnetic resonance spectroscopy · 2021
    Article
  17. Review
  18. Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Review
  19. Article
  20. Review
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

6 authors.

Gloria C ChiangDepartment of Neuroradiology, Weill Cornell Medical College, New York, NY, United States.
Ilhami KovanlikayaDepartment of Neuroradiology, Weill Cornell Medical College, New York, NY, United States.
Changho ChoiRadiology, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Rohan RamakrishnaDepartment of Neurological Surgery, Weill Cornell Medical College, New York, NY, United States.
Rajiv MaggeDepartment of Neurology, Weill Cornell Medical College, New York, NY, United States.
Dikoma C ShunguDepartment of Neuroradiology, Weill Cornell Medical College, New York, NY, United States.

Funding

Novel MRS Neurotechnology for Imaging GABA & Glutamate Function in SchizophreniaR01MH075895 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHUNGU, DIKOMA C · 2007 to 2011
$2.3M
3.0T Magnetic Resonance Imaging System for Preclinical, Translational and Clinical ResearchS10OD021782 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2016 to 2016
$2.0M
Specificity and Validity of Oxidative Stress Model of Chronic Fatigue SyndromeR01MH100005 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHUNGU, DIKOMA C · 2013 to 2016
$2.0M
NIH HHS S10 OD021782
6 · The paper itself

Abstract

Advances in metabolic imaging techniques have allowed for more precise characterization of gliomas, particularly as it relates to tumor recurrence or pseudoprogression. Furthermore, the emerging field of radiogenomics where radiographic features are systemically correlated with molecular markers has the potential to achieve the holy grail of neuro-oncologic neuro-radiology, namely molecular diagnosis without requiring tissue specimens. In this section, we will review the utility of metabolic imaging and discuss the current state of the art related to the radiogenomics of glioblastoma.

Indexed as

gliomamagnetic resonance spectroscopyneurooncologyneuroradiologypositron-emission tomographyradiogenomics

Identifiers

PMID29459844
PMCPMC5807339

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.