Quantitative analysis of peripheral tissue perfusion using spatiotemporal molecular dynamics.

Area of Science:

• Biomedical Optics
• Vascular Biology
• Medical Imaging

Background:

• Accurate peripheral tissue perfusion measurement is crucial for diagnosing vascular insufficiency.
• Near-infrared (NIR) radiation offers deep tissue penetration for intravital imaging.

Purpose of the Study:

• To develop a quantitative optical imaging strategy for peripheral tissue perfusion.
• To assess the utility of this method in predicting prognosis and evaluating therapeutic interventions.

Main Methods:

• Developed a novel optical imaging strategy using time-series analysis of indocyanine green (ICG) pharmacokinetics.
• Employed mathematical modeling and computational simulations for quantitative perfusion mapping.
• Utilized a murine hindlimb ischemia model for validation.

Main Results:

• Successfully translated time-series NIR fluorescence images into quantitative pixel perfusion rates and maps.
• Accurately predicted ischemic hindlimb prognosis based on immediate post-surgery perfusion profiles.
• Demonstrated the method's ability to reflect perfusion increases and prognosis improvements following therapeutic treatments.

Conclusions:

• This novel NIR-imaging-based strategy is a powerful tool for evaluating therapeutic interventions.
• The method is particularly useful for studies focused on stimulating angiogenesis.
• Provides a quantitative and predictive approach to assessing peripheral tissue perfusion.