Evidence map›Paper›PMID 28918564›Full record

SynthesisNeurosurgical review2019

MRI combined with PET-CT of different tracers to improve the accuracy of glioma diagnosis: a systematic review and meta-analysis.

Yihan Yang, Mike Z He, Tao Li, Xuejun Yang

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Neurosurgical review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 13% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Imaging Approaches in Cancer Biology.Cold Spring Harbor perspectives in medicine · 2024
    Review
  12. Article
  13. Review
  14. Application of Metabolic Reprogramming to Cancer Imaging and Diagnosis.International journal of molecular sciences · 2022
    Review
  15. Article
  16. A Head-to-Head Comparison ofJournal of clinical medicine · 2022
    Article
  17. Abdominopelvic MR to CT registration using a synthetic CT intermediate.Journal of applied clinical medical physics · 2022
    Article
  18. Article
  19. Review
  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

4 authors at 2 institutions in 2 countries.

Yihan YangDepartment of Neurosurgery, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Mike Z HeColumbia University Mailman School of Public Health, New York, NY, USA.
Tao LiDepartment of Neurosurgery, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Xuejun YangDepartment of Neurosurgery, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin, 300052, China. ydenny@yahoo.com.ORCID http://orcid.org/0000-0001-7056-1223
Tianjin Medical University General Hospital · CNColumbia University · US

Funding

Interdisciplinary Training in Climate and HealthT32ES023770 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2019
$1.5M
Chinese Anti-Cancer Association CSNO2014MSD01NIEHS NIH HHS T32 ES023770
6 · The paper itself

Abstract

Based on studies focusing on positron emission tomography (PET)-computed tomography (CT) combined with magnetic resonance imaging (MRI) in the diagnosis of glioma, we conducted a systematic review and meta-analysis evaluating the pros and cons and the accuracy of different examinations. PubMed and Cochrane Library were searched. The search was conducted until April 2017. Two reviewers independently conducted the literature search according to the criteria set initially. Based on the exclusion criteria, 15 articles are included in this study. Of all studies that used MRI examination, there are five involving 18F-fluorodeoxyglucose-PET, five involving 11C-methionine-PET, five involving 18F-fluoro-ethyl-tyrosine-PET, and three involving 18F-fluorothymidine-PET. Due to the limitations such as lack of data, small sample size, and unrepresentative studies, we use a non-quantitative methodology. MRI examination can provide the anatomy information of glioma more clearly. PET-CT examinations based on tumor metabolism using different tracers have more advantages in determining the degree of glioma malignancy and boundaries. However, information provided by PET-CT of different tracers is not the same. With respect to the novel hybrid MRI/PET examination equipment proposed in recent years, the combination of MRI and PET-CT can definitively improve the diagnostic accuracy of glioma.

Indexed as

Magnetic Resonance ImagingPositron Emission Tomography Computed TomographyBrain NeoplasmsGliomaHumansRadiopharmaceuticalsRadiopharmaceuticalsDiagnostic accuracyGliomaMRIPET-CT

Identifiers

PMID28918564
PMCPMC6503074
OpenAlexW2754529097

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.