Evidence map›Paper›PMID 25219809›Full record

ReviewSeminars in radiation oncology2014

Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade glioma.

Janine M Lupo, Sarah J Nelson

Open access · bronzeAbstract readReview
In one paragraph

Review in Seminars in radiation oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Magnetic resonance imaging evaluation of brain glioma before postoperative radiotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  7. Article
  8. Review
  9. Prospective feasibility analysis of a novel off-line approach for MR-guided radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018
    Article
  10. Review
  11. Article
  12. Article
  13. 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

2 authors.

Janine M Lupo
Sarah J Nelson

Funding

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 Pavithra Viswanath · 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 P01CA118816NCI NIH HHS P50 CA097257NCI NIH HHS P50CA097257NCI NIH HHS R01 CA127612NCI NIH HHS R01CA127612
6 · The paper itself

Abstract

This review explores how the integration of advanced imaging methods with high-quality anatomical images significantly improves the characterization, target definition, assessment of response to therapy, and overall management of patients with high-grade glioma. Metrics derived from diffusion-, perfusion-, and susceptibility-weighted magnetic resonance imaging in conjunction with magnetic resonance spectroscopic imaging, allows us to characterize regions of edema, hypoxia, increased cellularity, and necrosis within heterogeneous tumor and surrounding brain tissue. Quantification of such measures may provide a more reliable initial representation of tumor delineation and response to therapy than changes in the contrast-enhancing or T2 lesion alone and have a significant effect on targeting resection, planning radiation, and assessing treatment effectiveness. In the long term, implementation of these imaging methodologies can also aid in the identification of recurrent tumor and its differentiation from treatment-related confounds and facilitate the detection of radiationinduced vascular injury in otherwise normal-appearing brain tissue.

Indexed as

BrainBrain NeoplasmsGliomaHumansMagnetic Resonance ImagingNeoplasm Recurrence, LocalRadiation InjuriesRadiotherapy Planning, Computer-AssistedTreatment Outcome

Identifiers

PMID25219809
PMCPMC4876711
OpenAlexW2465383539

What OpenQuestion holds

Textmetadata
LicenceTDM
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.