Lower Extremity Flow Quantification Using Dynamic 82Rb PET: a Preclinical Investigation.
Liang Guo1, Stephanie L Thorn2, Pedro Gil de Rubio Cruz2
1Department of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
IEEE Transactions on Radiation and Plasma Medical Sciences
|December 8, 2025
Summary
Dynamic Rubidium-82 PET imaging accurately assesses lower extremity skeletal muscle blood flow in a porcine hindlimb ischemia model. This technique aids in managing peripheral arterial disease (PAD) and critical limb ischemia.
Area of Science:
- Cardiovascular Imaging
- Nuclear Medicine
- Physiology
Background:
- Peripheral arterial disease (PAD) with critical limb ischemia necessitates accurate assessment of lower extremity blood flow.
- Dynamic PET imaging offers a potential method for evaluating regional perfusion.
Purpose of the Study:
- To investigate dynamic 82Rb PET imaging with kinetic modeling for assessing skeletal muscle flow in a porcine hindlimb ischemia model.
- To evaluate the impact of input function corrections and single-injection protocols on flow quantification.
Main Methods:
- Utilized dynamic 82Rb PET imaging in a porcine model with acute unilateral hindlimb ischemia.
- Employed a three-parameter one-tissue compartment with spillover (1T-spillover) model for skeletal muscle flow estimation.
- Assessed two protocols: sequential injections for input function and flow, and a single injection with shuttling for short axial field of view (SAFOV) scanners.
Main Results:
- Skeletal muscle flow estimates ranged from 0.012 to 0.077 cm3/min/cm3 and were significantly reduced in ischemic limbs (p < 0.05).
- Delay and dispersion corrections of the left ventricle image-derived input function (LV-IDIF) improved model fitting (AIC) and physiological consistency.
- Accurate flow quantification was more challenging with the single injection and shuttling protocol.
Conclusions:
- Dynamic 82Rb PET imaging with kinetic modeling is feasible for quantifying skeletal muscle flow in a hindlimb ischemia model.
- Input function corrections are crucial for accurate flow estimation.
- Further optimization of data acquisition protocols, especially for SAFOV scanners, is needed for clinical translation.
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