Faculty, Staff and Student Publications

Publication Date

9-1-2024

Journal

Computers in Biology and Medicine

DOI

10.1016/j.compbiomed.2024.108889

PMID

39032243

PMCID

PMC12307134

PubMedCentral® Posted Date

7-30-2025

PubMedCentral® Full Text Version

Author MSS

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 concordance correlation coefficient (CCC) was used to quantify the agreement between the predicted and measured SPECT signals. The model was then used to simulate RNL distributions from a range of catheter placements, resulting in a ratio of the cumulative RNL dose outside versus inside the tumor, the "off-target ratio" (OTR). Optimal catheter placement) was identified by minimizing OTR.

Results: Fifteen patients with rGBM from a Phase I/II clinical trial (NCT01906385) were recruited to the study. Our model, with either individual-calibrated or population-assigned parameters, achieved high accuracy (CCC > 0.80) for predicting RNL distributions up to 24 h after delivery. The optimal catheter placements identified using this model achieved a median (range) of 34.56 % (14.70 %-61.12 %) reduction on OTR at the 24 h post-delivery in comparison to the original placements.

Conclusions: Our image-guided model achieved high accuracy for predicting patient-specific RNL distributions and indicates value for optimizing catheter placement for CED of radiolabeled liposomes.

Keywords

Humans, Glioblastoma, Rhenium, Brain Neoplasms, Nanoparticles, Tomography, Emission-Computed, Single-Photon, Catheters, Convection, Magnetic Resonance Imaging, Male, Female, Neoplasm Recurrence, Local, Middle Aged, Drug Delivery Systems, Liposomes

Published Open-Access

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