Magnetic Particle Imaging-Guided Thermal Simulations for Magnetic Particle Hyperthermia.
Hayden CarltonNageshwar ArepallySean HealyAnirudh SharmaSarah PtashnikMaureen SchickelMatt NewgrenPatrick GoodwillAnilchandra AttaluriRobert IvkovPublished in: Nanomaterials (Basel, Switzerland) (2024)
Magnetic particle hyperthermia (MPH) enables the direct heating of solid tumors with alternating magnetic fields (AMFs). One challenge with MPH is the unknown particle distribution in tissue after injection. Magnetic particle imaging (MPI) can measure the nanoparticle content and distribution in tissue after delivery. The objective of this study was to develop a clinically translatable protocol that incorporates MPI data into finite element calculations for simulating tissue temperatures during MPH. To verify the protocol, we conducted MPH experiments in tumor-bearing mouse cadavers. Five 8-10-week-old female BALB/c mice bearing subcutaneous 4T1 tumors were anesthetized and received intratumor injections of Synomag ® -S90 nanoparticles. Immediately following injection, the mice were euthanized and imaged, and the tumors were heated with an AMF. We used the Mimics Innovation Suite to create a 3D mesh of the tumor from micro-computerized tomography data and spatial index MPI to generate a scaled heating function for the heat transfer calculations. The processed imaging data were incorporated into a finite element solver, COMSOL Multiphysics ® . The upper and lower bounds of the simulated tumor temperatures for all five cadavers demonstrated agreement with the experimental temperature measurements, thus verifying the protocol. These results demonstrate the utility of MPI to guide predictive thermal calculations for MPH treatment planning.
Keyphrases
- finite element
- molecularly imprinted
- high resolution
- molecular dynamics
- density functional theory
- electronic health record
- randomized controlled trial
- molecular dynamics simulations
- big data
- monte carlo
- ultrasound guided
- machine learning
- clinical trial
- clinical decision support
- mass spectrometry
- skeletal muscle
- deep learning
- heat stress
- simultaneous determination