Poster Open Access

Reliability of Imaging-based Measures of Tumor 'Mass-Effect' -- Evidence from a Computational Study

Abler, Daniel; Büchler, Philippe; Rockne, Russell C.

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.

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.

References:

  • [1] Gamburg et al. IJROBP, 2000, 48, 5: 1359–62
  • [2] Steed et al. Scientific Reports, 2018, 8: 2827
  • [3] Abler et al. Neuro-Oncology, 2017, 19, suppl 6: vi245.

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