Evidence map›Paper›PMID 36479058›Full record

ArticleNeuro-oncology advances

Longitudinal MR spectroscopy to detect progression in patients with lower-grade glioma in the surveillance phase.

Lauro N Avalos, Tracy L Luks, Tyler Gleason, Pablo Damasceno, Yan Li, Janine M Lupo, Joanna Phillips, Nancy Ann Oberheim Bush, Jennie W Taylor, Susan M Chang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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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

11 authors at 3 institutions in 1 country.

Lauro N AvalosDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
Tracy L LuksDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
Tyler GleasonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
Pablo DamascenoDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
Yan LiDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
Janine M LupoDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
Joanna PhillipsDepartment of Pathology, University of California San Francisco, San Francisco, California 94143, USA.
Nancy Ann Oberheim BushDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California 94143, USA.
Jennie W TaylorDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California 94143, USA.
Susan M ChangDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California 94143, USA.
Javier E Villanueva-MeyerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California 94143, USA.
University of California System · USNeurological Surgery · USUniversity of California, San Francisco · US

Funding

Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
NIBIB NIH HHS T32 EB001631
6 · The paper itself

Abstract

Background: Monitoring lower-grade gliomas (LrGGs) for disease progression is made difficult by the limits of anatomical MRI to distinguish treatment related tissue changes from tumor progression. MR spectroscopic imaging (MRSI) offers additional metabolic information that can help address these challenges. The goal of this study was to compare longitudinal changes in multiparametric MRI, including diffusion weighted imaging, perfusion imaging, and 3D MRSI, for LrGG patients who progressed at the final time-point and those who remained clinically stable. Methods: Forty-one patients with LrGG who were clinically stable were longitudinally assessed for progression. Changes in anatomical, diffusion, perfusion and MRSI data were acquired and compared between patients who remained clinically stable and those who progressed. Results: Thirty-one patients remained stable, and 10 patients progressed. Over the study period, progressed patients had a significantly greater increase in normalized choline, choline-to- Conclusions: LrGG patients in surveillance with tumors that progressed had significantly increasing choline and creatine metabolite signals on MRSI, with a trend of increasing T2 FLAIR volumes, compared to LrGG patients who remained stable. These data show that MRSI can be used in conjunction with anatomical imaging studies to gain a clearer picture of LrGG progression, especially in the setting of clinical ambiguity.

Indexed as

lower-grade gliomamagnetic resonance spectroscopic imagingprogression

Identifiers

PMID36479058
PMCPMC9721386
OpenAlexW4309326948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.