Abler, Daniel
Büchler, Philippe
Rockne, Russell C.
2018-11-05
<p>Elevated tumor mass-effect is associated to poor prognosis in GBM [1,2]. However, tumor mass-effect is poorly quantified in clinical practice. Recently, Steed et al. [2] proposed ‘Lateral ventricle displacement’ (LVd), defined as the change in center-of-mass position of the lateral ventricles between an undeformed reference and the tumor-bearing anatomy, as quantitative imaging measure of mass-effect. They found that the magnitude of LVd in GBM patients can be associated with overall survival. These results show the clinical importance of tumor mass-effect in GBM, warranting robust clinical measures.</p>
<p>This study characterizes image-derived estimates of tumor mass-effect by their ability to measure mass-effect accurately and reliably. We use a mathematical model to simulate tumor growth, which allows us to control and objectively quantify ‘mass-effect’ [3]. For given simulation parameters and growth location, we compute estimates of mass-effect from anatomical deformation during the growth process. We use multiple regression analysis to evaluate the ability of different estimates to explain the tumor’s objective mass-effect, measured by the tumor-induced pressure on the skull.</p>
<p>References:</p>
<ul>
<li>[1] Gamburg et al. IJROBP, 2000, 48, 5: 1359–62</li>
<li>[2] Steed et al. Scientific Reports, 2018, 8: 2827</li>
<li>[3] Abler et al. Neuro-Oncology, 2017, 19, suppl 6: vi245.</li>
</ul>
https://doi.org/10.5281/zenodo.2566471
oai:zenodo.org:2566471
eng
Zenodo
https://doi.org/10.1093/neuonc/noy148.1127
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.2566470
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
SNO 2018, Annual Meeting of Society of Neuro-Oncology 2018, New Orleans, Louisana, USA, 15-18 November 2018
glioma
mass-effect
mathematical oncology
mechanically-coupled tumor growth
computational study
Reliability of Imaging-based Measures of Tumor 'Mass-Effect' -- Evidence from a Computational Study
info:eu-repo/semantics/conferencePoster