Evidence map›Paper›PMID 29980859›Full record

ReviewPediatric radiology2018

Current concepts in radiologic assessment of pediatric brain tumors during treatment, part 1.

Felice D'Arco, Sinead Culleton, Laurens J L De Cocker, Kshitij Mankad, Jorge Davila, Benita Tamrazi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Article
  8. European journal of nuclear medicine and molecular imaging · 2019
    Article
  9. Review
  10. 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.

Felice D'ArcoDepartment of Neuroradiology, Great Ormond Street Hospital for Children NHS Trust, Great Ormond Street, London, WC1N 3JH, UK. felice.d'arco@gosh.nhs.uk.ORCID http://orcid.org/0000-0001-7396-591X
Sinead CulletonDepartment of Neuroradiology, Great Ormond Street Hospital for Children NHS Trust, Great Ormond Street, London, WC1N 3JH, UK.
Laurens J L De CockerDepartment of Radiology, AZ Maria Middelares, Ghent, Belgium.
Kshitij MankadDepartment of Neuroradiology, Great Ormond Street Hospital for Children NHS Trust, Great Ormond Street, London, WC1N 3JH, UK.
Jorge DavilaDepartment of Medical Imaging, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Benita TamraziDepartment of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric brain tumors differ from those in adults by location, phenotype and genotype. In addition, they show dissimilar imaging characteristics before and after treatment. While adult brain tumor treatment effects are primarily assessed on MRI by measuring the contrast-enhancing components in addition to abnormalities on T2-weighted and fluid-attenuated inversion recovery images, these methods cannot be simply extrapolated to pediatric central nervous system tumors. A number of researchers have attempted to solve the problem of tumor assessment during treatment in pediatric neuro-oncology; specifically, the Response Assessment in Pediatric Neuro-Oncology (RAPNO) working group was recently established to deal with the distinct challenges in evaluating treatment-related changes on imaging, but no established criteria are available. In this article we review the current methods to evaluate brain tumor therapy and the numerous challenges that remain. In part 1, we examine the role of T2-weighted imaging and fluid-attenuated inversion recovery sequences, contrast enhancement, volumetrics and diffusion imaging techniques. We pay particular attention to several specific pediatric brain tumors, such as optic pathway glioma, diffuse midline glioma and medulloblastoma. Finally, we review the best means to assess leptomeningeal seeding.

Indexed as

Brain NeoplasmsChildContrast MediaDiagnosis, DifferentialHumansMagnetic Resonance ImagingNeuroimagingPhenotypeTumor BurdenContrast MediaChildrenDiffuse intrinsic pontine gliomaMagnetic resonance imagingOptic pathway gliomaTumor response assessment

Identifiers

PMID29980859

What OpenQuestion holds

Textmetadata
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.