Abstract:
BACKGROUND:Glioblastomas with a specific mutation in the isocitrate dehydrogenase 1 (IDH1) gene have a better prognosis than gliomas with wild-type IDH1. METHODS:Here we compare the IDH1 mutational status in 172 contrast-enhancing glioma patients with the invasion profile generated by a patient-specific mathematical model we developed based on MR imaging. RESULTS:We show that IDH1-mutated contrast-enhancing gliomas were relatively more invasive than wild-type IDH1 for all 172 contrast-enhancing gliomas as well as the subset of 158 histologically confirmed glioblastomas. The appearance of this relatively increased, model-predicted invasive profile appears to be determined more by a lower model-predicted net proliferation rate rather than an increased model-predicted dispersal rate of the glioma cells. Receiver operator curve analysis of the model-predicted MRI-based invasion profile revealed an area under the curve of 0.91, indicative of a predictive relationship. The robustness of this relationship was tested by cross-validation analysis of the invasion profile as a predictive metric for IDH1 status. CONCLUSIONS:The strong correlation between IDH1 mutation status and the MRI-based invasion profile suggests that use of our tumor growth model may lead to noninvasive clinical detection of IDH1 mutation status and thus lead to better treatment planning, particularly prior to surgical resection, for contrast-enhancing gliomas.
journal_name
Neuro Oncoljournal_title
Neuro-oncologyauthors
Baldock AL,Yagle K,Born DE,Ahn S,Trister AD,Neal M,Johnston SK,Bridge CA,Basanta D,Scott J,Malone H,Sonabend AM,Canoll P,Mrugala MM,Rockhill JK,Rockne RC,Swanson KRdoi
10.1093/neuonc/nou027subject
Has Abstractpub_date
2014-06-01 00:00:00pages
779-86issue
6eissn
1522-8517issn
1523-5866pii
neuonc/nou027journal_volume
16pub_type
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