Evidence map›Paper›PMID 26141852›Full record

ArticleNeuroradiology2015

Combined MRI and MRS improves pre-therapeutic diagnoses of pediatric brain tumors over MRI alone.

Mark S Shiroishi, Ashok Panigrahy, Kevin R Moore, Marvin D Nelson, Floyd H Gilles, Ignacio Gonzalez-Gomez, Stefan Blüml

Abstract read
In one paragraph

Article in Neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Proton MR Spectroscopy of Pediatric Brain Disorders.Diagnostics (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Evaluation of the added value ofNeuro-oncology practice · 2018
    Article
  11. Article
  12. Article
  13. Advanced MR imaging in hemispheric low-grade gliomas before surgery; the indications and limits in the pediatric age.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2016
    Article
  14. Article
  15. 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

7 authors.

Mark S ShiroishiDepartment of Radiology, Children's Hospital Los Angeles/Keck School of Medicine of USC, MS 81, 4650 Sunset Boulevard, Los Angeles, CA, 90027, USA.
Ashok PanigrahyDepartment of Radiology, Children's Hospital Los Angeles/Keck School of Medicine of USC, MS 81, 4650 Sunset Boulevard, Los Angeles, CA, 90027, USA.
Kevin R MooreDepartment of Radiology, Primary Children's Medical Center, Salt Lake City, UT, USA.
Marvin D NelsonDepartment of Radiology, Children's Hospital Los Angeles/Keck School of Medicine of USC, MS 81, 4650 Sunset Boulevard, Los Angeles, CA, 90027, USA.
Floyd H GillesDepartment of Pathology, Children's Hospital Los Angeles/Keck School of Medicine of USC, Los Angeles, CA, USA.
Ignacio Gonzalez-GomezDepartment of Pathology, All Children's Hospital, St. Petersburg, FL, USA.
Stefan BlümlDepartment of Radiology, Children's Hospital Los Angeles/Keck School of Medicine of USC, MS 81, 4650 Sunset Boulevard, Los Angeles, CA, 90027, USA. sbluml@chla.usc.edu.

Funding

Pediatric Pilot/Phase I Consortium - Foreign AccrualU01CA097452 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI BLANEY, SUSAN M. · 2002 to 2011
$28.2M
Southern California Clinical and Translational Science InstituteKL2TR000131 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$2.1M
Integrated X-nuclear-MRI/MRS of Pediatric Brain TumorsR33CA096032 · NCI · CHILDREN'S HOSPITAL LOS ANGELES · PI BLUML, STEFAN · 2003 to 2005
$788k
NCATS NIH HHS KL2 TR000131NCATS NIH HHS KL2TR000131NCI NIH HHS 5R33CA096032NCI NIH HHS R33 CA096032NCI NIH HHS U01 CA097452NCI NIH HHS U01 CA97452-02
6 · The paper itself

Abstract

introductionThe specific goal of this study was to determine whether the inclusion of MRS had a measureable and positive impact on the accuracy of pre-surgical MR examinations of untreated pediatric brain tumors over that of MRI alone in clinical practice.

methodsFinal imaging reports of 120 pediatric patients with newly detected brain tumors who underwent combined MRI/MRS examinations were retrospectively reviewed. Final pathology was available in all cases. Group A comprised 60 subjects studied between June 2001 and January 2005, when MRS was considered exploratory and radiologists utilized only conventional MRI to arrive at a diagnosis. For group B, comprising 60 subjects studied between January 2005 and March 2008, the radiologists utilized information from both MRI and MRS. Furthermore, radiologists revisited group A (blind review, time lapse >4 years) to determine whether the additional information from MRS would have altered their interpretation.

resultsSixty-three percent of patients in group A were diagnosed correctly, whereas in 10% the report was partially correct with the final tumor type mentioned (but not mentioned as most likely tumor), while in 27% of cases the reports were wrong. For group B, the diagnoses were correct in 87%, partially correct in 5%, and incorrect in 8% of the cases, which is a significant improvement (p < 0.005). Re-review of combined MRI and MRS of group A resulted 87% correct, 7% partially correct, and 7% incorrect diagnoses, which is a significant improvement over the original diagnoses (p < 0.05).

conclusionAdding MRS to conventional MRI significantly improved diagnostic accuracy in preoperative pediatric patients with untreated brain tumors.

Indexed as

Multimodal ImagingBrain NeoplasmsChildFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleDiagnosesMR imagingMR spectroscopyPediatric brain tumors

Identifiers

PMID26141852
PMCPMC4936898

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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.