Evidence map›Paper›PMID 19369613›Full record

ReviewAJNR. American journal of neuroradiology2009

MR spectroscopy in radiation injury.

P C Sundgren

Open access · hybridAbstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Clinical application ofFrontiers in neuroscience · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Artificial Intelligence in Brain Tumors.Advances in experimental medicine and biology · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. MR spectroscopy in pediatric neuroradiology.Translational pediatrics · 2021
    Review
  18. Article
  19. Article
  20. Article
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

1 author at 1 institution in 1 country.

P C SundgrenDivision of Neuroradiology, Department of Radiology, University of Michigan Health Systems, 1500 E Medical Center Drive, Ann Arbor, MI 48109, USA. sundgren@med.umich.edu
Michigan Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting a new area of contrast enhancement in or in the vicinity of a previously treated brain tumor always causes concern for both the patient and the physician. The question that immediately arises is whether this new lesion is recurrent tumor or a treatment effect. The differentiation of recurrent tumor or progressive tumor from radiation injury after radiation therapy is often a radiologic dilemma regardless the technique used, CT or MR imaging. The purpose of this article was to review the utility of one of the newer MR imaging techniques, MR spectroscopy, to distinguish recurrent tumor from radiation necrosis or radiation injury.

Indexed as

AlgorithmsBiomarkersBiomarkers, TumorBrain NeoplasmsHumansMagnetic Resonance SpectroscopyNeoplasm Recurrence, LocalNeoplasms, Radiation-InducedRadiotherapy, ConformalBiomarkersBiomarkers, Tumor

Identifiers

PMID19369613
PMCPMC7051616
OpenAlexW2100123312

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.