Evidence map›Paper›PMID 23093856›Full record

ArticleJournal of biomedicine & biotechnology2012

Simulating radiotherapy effect in high-grade glioma by using diffusive modeling and brain atlases.

Alexandros Roniotis, Kostas Marias, Vangelis Sakkalis, Georgios C Manikis, Michalis Zervakis

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Journal of biomedicine & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Alexandros RoniotisInstitute of Computer Science, Foundation For Research and Technology-Hellas, 700 13 Heraklion, Crete, Greece. roniotis@ics.forth.gr
Kostas Marias
Vangelis Sakkalis
Georgios C Manikis
Michalis Zervakis
Foundation for Research and Technology Hellas · GRTechnical University of Crete · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applying diffusive models for simulating the spatiotemporal change of concentration of tumour cells is a modern application of predictive oncology. Diffusive models are used for modelling glioblastoma, the most aggressive type of glioma. This paper presents the results of applying a linear quadratic model for simulating the effects of radiotherapy on an advanced diffusive glioma model. This diffusive model takes into consideration the heterogeneous velocity of glioma in gray and white matter and the anisotropic migration of tumor cells, which is facilitated along white fibers. This work uses normal brain atlases for extracting the proportions of white and gray matter and the diffusion tensors used for anisotropy. The paper also presents the results of applying this glioma model on real clinical datasets.

Indexed as

AnimalsBrainBrain NeoplasmsComputer SimulationGliomaHumansMagnetic Resonance ImagingModels, AnatomicModels, NeurologicalRadiotherapy, Computer-AssistedRadiotherapy, ConformalRadiotherapy DosageRadiotherapy, Image-Guided

Identifiers

PMID23093856
PMCPMC3471023
OpenAlexW2066165546

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.