Evidence map›Paper›PMID 30062569›Full record

ArticlePediatric radiology2018

Prospective multicentre evaluation and refinement of an analysis tool for magnetic resonance spectroscopy of childhood cerebellar tumours.

Karen A Manias, Lisa M Harris, Nigel P Davies, Kal Natarajan, Lesley MacPherson, Katharine Foster, Marie-Anne Brundler, Darren R Hargrave, Geoffery S Payne, Martin O Leach and 6 more

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

Article in Pediatric radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. MR Imaging of Pediatric Brain Tumors.Diagnostics (Basel, Switzerland) · 2022
    Review
  2. Review
  3. Article
  4. The use of hyperpolarisedBritish journal of cancer · 2021
    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

16 authors.

Karen A ManiasInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Lisa M HarrisDepartment of Radiological Science, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK.
Nigel P DaviesInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Kal NatarajanInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Lesley MacPhersonBirmingham Children's Hospital, Birmingham, UK.
Katharine FosterBirmingham Children's Hospital, Birmingham, UK.
Marie-Anne BrundlerBirmingham Children's Hospital, Birmingham, UK.
Darren R HargravePaediatric Oncology Unit, Great Ormond Street Hospital, London, UK.
Geoffery S PayneRoyal Marsden Hospital, Sutton, Surrey, UK.
Martin O LeachCRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden Hospital, London, SW7 3RP, UK.
Paul S MorganMedical Physics, Nottingham University Hospitals, Nottingham, UK.
Dorothee AuerRadiological and Imaging Sciences, University of Nottingham, Nottingham, UK.
Tim JaspanRadiology Department, University Hospital Nottingham, Nottingham, UK.
Theodoros N ArvanitisBirmingham Children's Hospital, Birmingham, UK.
Richard G GrundyThe Childhood Brain Tumour Research Centre, The Medical School, University of Nottingham, Nottingham, UK.
Andrew C PeetInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK. a.peet@bham.ac.uk.

Funding

Cancer Research UK 10342Cancer Research UK 16464Cancer Research UK C1060/A10334Cancer Research UK C1060/A16464Cancer Research UK C7809/A10342Cancer Research UK C8232/A25261Department of Health NIHR-RP-02-12-019Medical Research Council G0701533
6 · The paper itself

Abstract

backgroundA tool for diagnosing childhood cerebellar tumours using magnetic resonance (MR) spectroscopy peak height measurement has been developed based on retrospective analysis of single-centre data.

objectiveTo determine the diagnostic accuracy of the peak height measurement tool in a multicentre prospective study, and optimise it by adding new prospective data to the original dataset. MATERIALS AND

methodsMagnetic resonance imaging (MRI) and single-voxel MR spectroscopy were performed on children with cerebellar tumours at three centres. Spectra were processed using standard scanner software and peak heights for N-acetyl aspartate, creatine, total choline and myo-inositol were measured. The original diagnostic tool was used to classify 26 new tumours as pilocytic astrocytoma, medulloblastoma or ependymoma. These spectra were subsequently combined with the original dataset to develop an optimised scheme from 53 tumours in total.

resultsOf the pilocytic astrocytomas, medulloblastomas and ependymomas, 65.4% were correctly assigned using the original tool. An optimized scheme was produced from the combined dataset correctly assigning 90.6%. Rare tumour types showed distinctive MR spectroscopy features.

conclusionThe original diagnostic tool gave modest accuracy when tested prospectively on multicentre data. Increasing the dataset provided a diagnostic tool based on MR spectroscopy peak height measurement with high levels of accuracy for multicentre data.

Indexed as

Biomarkers, TumorCerebellar NeoplasmsChildDiagnosis, DifferentialFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance SpectroscopyMaleProspective StudiesBiomarkers, TumorBrainCerebellumChildrenDiagnosisMagnetic resonance spectroscopyTumuor

Identifiers

PMID30062569
PMCPMC6153873

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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.