Evidence map›Paper›PMID 28942218›Full record

ArticleTranslational oncology2017

Characterization of Metabolic, Diffusion, and Perfusion Properties in GBM: Contrast-Enhancing versus Non-Enhancing Tumor.

Adam Autry, Joanna J Phillips, Stojan Maleschlijski, Ritu Roy, Annette M Molinaro, Susan M Chang, Soonmee Cha, Janine M Lupo, Sarah J Nelson

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Estimating Local Cellular Density in Glioma Using MR Imaging Data.AJNR. American journal of neuroradiology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors at 3 institutions in 1 country.

Adam AutryDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. Electronic address: adam.autry@ucsf.edu.
Joanna J PhillipsDepartment of Pathology, University of California, San Francisco, San Francisco, CA, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Stojan MaleschlijskiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
Ritu RoyHelen Diller Family Comprehensive Cancer Center (HDFCC) Biostatistical Core Facility, University of California, San Francisco, San Francisco, CA, USA; Computational Biology Core, University of California, San Francisco, San Francisco, CA, USA.
Annette M MolinaroDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Department of Biostatistics and Epidemiology, University of California, San Francisco, San Francisco, CA, USA.
Susan M ChangDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Soonmee ChaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
Janine M LupoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
Sarah J NelsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USNeurological Surgery · USUCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kate Taylor Shumate · 1999 to 2026
$209.7M
Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
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
NCI NIH HHS P01 CA118816NCI NIH HHS P30 CA082103NCI NIH HHS P50 CA097257
6 · The paper itself

Abstract

backgroundAlthough the contrast-enhancing (CE) lesion on T

methodsFifty-six patients with newly diagnosed GBM received a multi-parametric pre-surgical MR examination. Targets for obtaining image-guided tissue samples were defined based on in vivo parameters that were suspicious for tumor. The actual location from where tissue samples were obtained was recorded, and half of each sample was analyzed for histopathology while the other half was scanned using HR-MAS spectroscopy.

resultsThe Enh+ and Enh- tumor samples demonstrated comparable mitotic activity, but also significant heterogeneity in microvascular morphology. Ex vivo spectroscopic parameters indicated similar levels of total choline and N-acetylaspartate between these contrast-based radiographic subtypes of GBM, and characteristic differences in the levels of myo-inositol, creatine/phosphocreatine, and phosphoethanolamine. Analysis of in vivo parameters at the sample locations were consistent with histological and ex vivo metabolic data.

conclusionsThe similarity between ex vivo levels of choline and NAA, and between in vivo levels of choline, NAA and nADC in Enh+ and Enh- tumor, indicate that these parameters can be used in defining non-invasive metrics of total tumor burden for patients with GBM.

Identifiers

PMID28942218
PMCPMC5612804
OpenAlexW2758383347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.