Evidence map›Paper›PMID 17187666›Full record

ArticleRadiation oncology (London, England)2006

Kinetic modeling of tumor growth and dissemination in the craniospinal axis: implications for craniospinal irradiation.

Jeffrey J Meyer, Lawrence B Marks, Edward C Halperin, John P Kirkpatrick

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jeffrey J MeyerDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA. meyer046@mc.duke.edu
Lawrence B Marks
Edward C Halperin
John P Kirkpatrick

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedulloblastoma and other types of tumors that gain access to the cerebrospinal fluid can spread throughout the craniospinal axis. The purpose of this study was to devise a simple multi-compartment kinetic model using established tumor cell growth and treatment sensitivity parameters to model the complications of this spread as well as the impact of treatment with craniospinal radiotherapy.

methodsA two-compartment mathematical model was constructed. Rate constants were derived from previously published work and the model used to predict outcomes for various clinical scenarios.

resultsThe model is simple and with the use of known and estimated clinical parameters is consistent with known clinical outcomes. Treatment outcomes are critically dependent upon the duration of the treatment break and the radiosensitivity of the tumor. Cross-plot analyses serve as an estimate of likelihood of cure as a function of these and other factors.

conclusionThe model accurately describes known clinical outcomes for patients with medulloblastoma. It can help guide treatment decisions for radiation oncologists treating patients with this disease. Incorporation of other treatment modalities, such as chemotherapy, that enhance radiation sensitivity and/or reduce tumor burden, are predicted to significantly increase the probability of cure.

Indexed as

AlgorithmsCerebellar NeoplasmsCerebrospinal FluidCranial IrradiationHumansKineticsMedulloblastomaModels, StatisticalModels, TheoreticalRadiation OncologyRisk

Identifiers

PMID17187666
PMCPMC1764894

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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.