Evidence map›Paper›PMID 27576874›Full record

ArticleNeuro-oncology2017

Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Sarah J Nelson, Achuta K Kadambi, Ilwoo Park, Yan Li, Jason Crane, Marram Olson, Annette Molinaro, Ritu Roy, Nicholas Butowski, Soonmee Cha and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Frontiers in oncology · 2023
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. HyperpolarizedNMR in biomedicine · 2021
    Article
  11. Magnetic resonance spectroscopy for the study of cns malignancies.Progress in nuclear magnetic resonance spectroscopy · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Targeting tumor-associated acidity in cancer immunotherapy.Cancer immunology, immunotherapy : CII · 2018
    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

11 authors at 4 institutions in 1 country.

Sarah J NelsonHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.
Achuta K KadambiSurbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.
Ilwoo ParkSurbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.
Yan LiSurbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.
Jason CraneSurbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.
Marram OlsonSurbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.
Annette MolinaroHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.
Ritu RoySurbeck Laboratory of Advanced Imaging, University of California, San Francisco, California.
Nicholas ButowskiHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.
Soonmee ChaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California.
Susan ChangHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.
UCSF Helen Diller Family Comprehensive Cancer Center · USNeurological Surgery · USUniversity of California, San Francisco · USAdvanced Imaging Research (United States) · US

Funding

Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joanna Phillips · 2007 to 2026
$44.7M
MR Metabolic Markers for Evaluation of Patients with Recurrent GliomaR01CA127612 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, YAN · 2008 to 2017
$3.8M
NCI NIH HHS P01 CA118816NCI NIH HHS R01 CA127612
6 · The paper itself

Abstract

Background: The heterogeneous biology of glioblastoma (GBM) emphasizes the need for imaging methods to assess tumor burden and assist in evaluating individual patients. The purpose of this study was to investigate early changes in metrics from 3D 1H magnetic resonance spectroscopic imaging (MRSI) data, compare them with anatomic lesion volumes, and determine whether they were associated with survival for patients with newly diagnosed GBM receiving a multimodality treatment regimen. Methods: Serial MRI and MRSI scans provided estimates of anatomic lesion volumes and levels of choline, creatine, N-acetylaspartate, lactate, and lipid. The association of metrics derived from these data with survival was assessed using Cox proportional hazards models with adjustments for age, Karnofsky performance score, and extent of resection. Temporal changes in parameters were evaluated using a Wilcoxon signed rank test. Results: Anatomic lesion volumes at the post-radiotherapy (RT) scan, metabolic lesion volume at mid-RT and post-RT scans, as well as metrics describing levels of choline, lactate, and lipid were associated with overall survival. There was a significant reduction in the enhancing lesion volume, increase in T2 lesion volume from mid-RT to post-RT, and decrease in parameters describing metabolite levels during these early time points. Conclusion: The MRSI data provided metrics that described the effects of treatment on the metabolic lesion burden and were associated with overall survival. This suggests that adding these parameters to standard assessments of changes in anatomic lesion volumes could contribute to making early decisions about the efficacy of such combination therapies.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBrain NeoplasmsCholineCohort StudiesCombined Modality TherapyCreatineDacarbazineFemaleFollow-Up StudiesGlioblastomaHumansImage Processing, Computer-AssistedIndolesCholineCreatineDacarbazineenzastaurinIndolesTemozolomide1H MR spectroscopic imagingmetabolic parametersnewly diagnosed GBMpredicting outcomesurvivaltreatment

Identifiers

PMID27576874
PMCPMC5464305
OpenAlexW2512946501

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.