Exogeneous PpIX model for brain tumour assessment
John Raschke, Jean Pierre Ndabakuranye, Bobbi Fleiss, Arman Ahnood

TL;DR
This study presents an exogenous brain tumour model using PpIX injection in rat brains, providing a consistent, controllable, and accurate platform for developing fluorescence detection devices for glioma surgery.
Contribution
The paper introduces a novel exogenous PpIX injection model in rat brains that replicates in-vivo glioma fluorescence profiles for device testing.
Findings
Model shows high correlation (R2>0.93) with in-vivo fluorescence data.
Solvent DMSO does not affect brain autofluorescence.
Proper storage preserves autofluorescence for testing.
Abstract
Reliable in-vitro models are used for optoelectronic device development such as fluorescence detection devices for fluorescence-guided surgery of gliomas. A common approach is based on inducing gliomas in animal models. This is followed by a dosage of 5-ALA to induce Protoporphyrin IX (PpIX) in the glioma and which fluoresces. Although these approaches excel in capturing key biomolecular and physiological features of the tumour, they are inherently indeterministic. This limits the scope of their use for preclinical device development, where consistent and controllable tumour reproduction across multiple animals is needed. Approaches using fluorescence markers in gelatine provide a simple replication but fail to capture the complexities of in-vivo models. In this study, we introduce an exogenous brain tumour model for assessing PpIX fluorescence detection. The model was developed by…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMachine Learning in Materials Science
