Evidence map›Paper›PMID 25540239›Full record

ArticleJournal of the Royal Society, Interface2015

A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET.

Russell C Rockne, Andrew D Trister, Joshua Jacobs, Andrea J Hawkins-Daarud, Maxwell L Neal, Kristi Hendrickson, Maciej M Mrugala, Jason K Rockhill, Paul Kinahan, Kenneth A Krohn and 1 more

Erratum issuedAbstract read
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In one paragraph

Article in Journal of the Royal Society, Interface, 2015. 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 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 75 Years of Mathematical Oncology.bioRxiv : the preprint server for biology · 2026
    Article
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  8. Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Russell C RockneDepartment of Neurological Surgery, Northwestern University and Feinberg School of Medicine, 676 N Saint Clair Street, Suite 1300, Chicago, IL 60611, USA Northwestern Brain Tumor Institute, Northwestern University, 675 N Saint Clair Street, Suite 2100, Chicago, IL 60611, USA, russell.rockne@northwestern.edu.ORCID http://orcid.org/0000-0002-1557-159X
Andrew D TristerDepartment of Radiation Oncology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.ORCID http://orcid.org/0000-0002-7070-0139
Joshua JacobsDepartment of Neurological Surgery, Northwestern University and Feinberg School of Medicine, 676 N Saint Clair Street, Suite 1300, Chicago, IL 60611, USA Northwestern Brain Tumor Institute, Northwestern University, 675 N Saint Clair Street, Suite 2100, Chicago, IL 60611, USA.
Andrea J Hawkins-DaarudDepartment of Neurological Surgery, Northwestern University and Feinberg School of Medicine, 676 N Saint Clair Street, Suite 1300, Chicago, IL 60611, USA Northwestern Brain Tumor Institute, Northwestern University, 675 N Saint Clair Street, Suite 2100, Chicago, IL 60611, USA.
Maxwell L NealDepartment of Pathology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.ORCID http://orcid.org/0000-0002-2390-6572
Kristi HendricksonDepartment of Radiation Oncology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Maciej M MrugalaDepartment of Neurology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Jason K RockhillDepartment of Radiation Oncology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Paul KinahanDepartment of Radiology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.ORCID http://orcid.org/0000-0001-6461-3306
Kenneth A KrohnDepartment of Radiation Oncology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA Department of Radiology, University of Washington, School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Kristin R SwansonDepartment of Neurological Surgery, Northwestern University and Feinberg School of Medicine, 676 N Saint Clair Street, Suite 1300, Chicago, IL 60611, USA Northwestern Brain Tumor Institute, Northwestern University, 675 N Saint Clair Street, Suite 2100, Chicago, IL 60611, USA.ORCID http://orcid.org/0000-0002-2464-6119

Funding

RadiochemistryP01CA042045 · NCI · UNIVERSITY OF WASHINGTON · PI LINK, JEANNE MEYERS · 1986 to 2015
$23.2M
Patient-specific predictive modeling that integrates advanced cancer imagingR01CA164371 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., SWANSON, KRISTIN R · 2011 to 2015
$4.5M
Novel Tools for Evaluation and Prediction of Radiotherapy Response in IndividualR01NS060752 · NINDS · UNIVERSITY OF WASHINGTON · PI SWANSON, KRISTIN R · 2009 to 2013
$1.6M
NCI NIH HHS P01 CA042045NCI NIH HHS R01 CA164371NINDS NIH HHS R01 NS060752
6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is a highly invasive primary brain tumour that has poor prognosis despite aggressive treatment. A hallmark of these tumours is diffuse invasion into the surrounding brain, necessitating a multi-modal treatment approach, including surgery, radiation and chemotherapy. We have previously demonstrated the ability of our model to predict radiographic response immediately following radiation therapy in individual GBM patients using a simplified geometry of the brain and theoretical radiation dose. Using only two pre-treatment magnetic resonance imaging scans, we calculate net rates of proliferation and invasion as well as radiation sensitivity for a patient's disease. Here, we present the application of our clinically targeted modelling approach to a single glioblastoma patient as a demonstration of our method. We apply our model in the full three-dimensional architecture of the brain to quantify the effects of regional resistance to radiation owing to hypoxia in vivo determined by [(18)F]-fluoromisonidazole positron emission tomography (FMISO-PET) and the patient-specific three-dimensional radiation treatment plan. Incorporation of hypoxia into our model with FMISO-PET increases the model-data agreement by an order of magnitude. This improvement was robust to our definition of hypoxia or the degree of radiation resistance quantified with the FMISO-PET image and our computational model, respectively. This work demonstrates a useful application of patient-specific modelling in personalized medicine and how mathematical modelling has the potential to unify multi-modality imaging and radiation treatment planning.

Indexed as

Brain NeoplasmsGliomaHypoxiaModels, BiologicalPositron-Emission TomographyAgedHumansMaleMisonidazolePrecision MedicineRadiation-Sensitizing AgentsRadiographyfluoromisonidazoleMisonidazoleRadiation-Sensitizing Agentsglioblastomahypoxiamathematical modellingpatient-specificradiation resistance

Identifiers

PMID25540239
PMCPMC4305419

What OpenQuestion holds

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Registered trials

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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.