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Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided
Tom H Dijkhuis1, Okker D Bijlstra1,2, Mats I Warmerdam1,3
1Leiden University Medical Center, Department of Surgery, Leiden, The Netherlands.
Journal of Biomedical Optics
|February 5, 2024
Summary
A new semi-automatic method objectively assesses fluorescent dye efficacy in cancer surgery. This approach improves the reproducibility of near-infrared fluorescence imaging studies, aiding clinical translation of novel dyes.
Area of Science:
- Medical imaging
- Oncological surgery
- Fluorescence spectroscopy
Background:
- Near-infrared fluorescence imaging lacks standardized methods for evaluating dye efficacy in cancer surgery.
- This hinders preclinical to clinical translation and result reproducibility for novel fluorescent dyes.
Purpose of the Study:
- To develop and evaluate a semi-automatic, standardized method for objective assessment of fluorescent signals in resected tissues.
- To enhance the evaluation of fluorescent dye performance in oncological applications.
Main Methods:
- Designed a standardized imaging procedure and quantitative analysis for non-targeted and tumor-targeted fluorescent dyes.
- Developed automated region of interest (ROI) selection and quantitative image analysis, comparing it to manual methods.
- Calculated Dice and intraclass correlation coefficients to assess variability in ROI selection and signal-to-background ratios.
Main Results:
- The semi-automatic method significantly improved variability for non-targeted dyes (indocyanine green).
- Variability in background ROI selection was significantly improved for targeted dye SGM-101.
- Demonstrated enhanced reproducibility in quantitative analysis of fluorescence signals.
Conclusions:
- Successfully developed semi-automatic methods for standardized quantitative analysis of fluorescence images.
- The developed methods show promise for improving reproducibility and standardization in clinical studies of fluorescent dyes.
- Facilitates more reliable evaluation and clinical translation of novel fluorescent agents in oncology.
