Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma.

ABSTRACT:

Background

Proper catheter placement for convection-enhanced delivery (CED) is required to maximize tumor coverage and minimize exposure to healthy tissue. We developed an image-based model to patient-specifically optimize the catheter placement for rhenium-186 (¹⁸⁶Re)-nanoliposomes (RNL) delivery to treat recurrent glioblastoma (rGBM).

Methods

The model consists of the 1) fluid fields generated via catheter infusion, 2) dynamic transport of RNL, and 3) transforming RNL concentration to the SPECT signal. Patient-specific tissue geometries were assigned from pre-delivery MRIs. Model parameters were personalized with either 1) individual-based calibration with longitudinal SPECT images, or 2) population-based assignment via leave-one-out cross-validation. The concor

SUBMITTER: Wu C 

PROVIDER: S-EPMC12307134 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature