TY - JOUR
T1 - Validation of a Temperature-Feedback Controlled Automated Magnetic Hyperthermia Therapy Device
AU - Sharma, Anirudh
AU - Jangam, Avesh
AU - Shen, Julian Low Yung
AU - Ahmad, Aiman
AU - Arepally, Nageshwar
AU - Rodriguez, Benjamin
AU - Borrello, Joseph
AU - Bouras, Alexandros
AU - Kleinberg, Lawrence
AU - Ding, Kai
AU - Hadjipanayis, Constantinos
AU - Kraitchman, Dara L.
AU - Ivkov, Robert
AU - Attaluri, Anilchandra
N1 - Funding Information:
Funding for this project was provided by the National Cancer Institute (1R01CA247290). R.I. received additional funding from the National Cancer Institute (1R01 CA257557). K.D. received additional funding from National Cancer Institute (R37 CA229417). The contents of this paper are solely the responsibility of the authors and do not necessarily represent the official view of Johns Hopkins University, NIH, or other funding agencies.
Publisher Copyright:
© 2023 by the authors.
PY - 2023/1
Y1 - 2023/1
N2 - We present in vivo validation of an automated magnetic hyperthermia therapy (MHT) device that uses real-time temperature input measured at the target to control tissue heating. MHT is a thermal therapy that uses heat generated by magnetic materials exposed to an alternating magnetic field. For temperature monitoring, we integrated a commercial fiber optic temperature probe containing four gallium arsenide (GaAs) temperature sensors. The controller device used temperature from the sensors as input to manage power to the magnetic field applicator. We developed a robust, multi-objective, proportional-integral-derivative (PID) algorithm to control the target thermal dose by modulating power delivered to the magnetic field applicator. The magnetic field applicator was a 20 cm diameter Maxwell-type induction coil powered by a 120 kW induction heating power supply operating at 160 kHz. Finite element (FE) simulations were performed to determine values of the PID gain factors prior to verification and validation trials. Ex vivo verification and validation were conducted in gel phantoms and sectioned bovine liver, respectively. In vivo validation of the controller was achieved in a canine research subject following infusion of magnetic nanoparticles (MNPs) into the brain. In all cases, performance matched controller design criteria, while also achieving a thermal dose measured as cumulative equivalent minutes at 43 °C (CEM43) 60 ± 5 min within 30 min.
AB - We present in vivo validation of an automated magnetic hyperthermia therapy (MHT) device that uses real-time temperature input measured at the target to control tissue heating. MHT is a thermal therapy that uses heat generated by magnetic materials exposed to an alternating magnetic field. For temperature monitoring, we integrated a commercial fiber optic temperature probe containing four gallium arsenide (GaAs) temperature sensors. The controller device used temperature from the sensors as input to manage power to the magnetic field applicator. We developed a robust, multi-objective, proportional-integral-derivative (PID) algorithm to control the target thermal dose by modulating power delivered to the magnetic field applicator. The magnetic field applicator was a 20 cm diameter Maxwell-type induction coil powered by a 120 kW induction heating power supply operating at 160 kHz. Finite element (FE) simulations were performed to determine values of the PID gain factors prior to verification and validation trials. Ex vivo verification and validation were conducted in gel phantoms and sectioned bovine liver, respectively. In vivo validation of the controller was achieved in a canine research subject following infusion of magnetic nanoparticles (MNPs) into the brain. In all cases, performance matched controller design criteria, while also achieving a thermal dose measured as cumulative equivalent minutes at 43 °C (CEM43) 60 ± 5 min within 30 min.
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U2 - 10.3390/cancers15020327
DO - 10.3390/cancers15020327
M3 - Article
C2 - 36672278
AN - SCOPUS:85146554906
SN - 2072-6694
VL - 15
JO - Cancers
JF - Cancers
IS - 2
M1 - 327
ER -