Enhancing intraoperative tumor delineation with multispectral short-wave infrared fluorescence imaging and machine learning.

ABSTRACT:

Significance

Fluorescence-guided surgery (FGS) provides specific real-time visualization of tumors, but intensity-based measurement of fluorescence is prone to errors. Multispectral imaging (MSI) in the short-wave infrared (SWIR) has the potential to improve tumor delineation by enabling machine-learning classification of pixels based on their spectral characteristics.

Aim

Determine whether MSI can be applied to FGS and combined with machine learning to provide a robust method for tumor visualization.

Approach

A multispectral SWIR fluorescence imaging device capable of collecting data from six spectral filters was constructed and deployed on neuroblastoma (NB) subcutaneous xenografts ( n=6 ) after the injection of a NB-specific NIR-I fluorescent probe (Dinutuximab-IRD

SUBMITTER: Waterhouse DJ 

PROVIDER: S-EPMC10042297 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature