Temperature feedback-controlled photothermal treatment with diffusing applicator: theoretical and experimental evaluations

To minimize thermal injury, the current study evaluated the real-time temperature monitoring with a proportional-integrative-derivative (PID) controller during 980-nm photothermal treatment with a radially-diffusing applicator. Both simulations and experiments demonstrated comparable thermal behaviors in temperature distribution and the degree of irreversible tissue denaturation. The PID-controlled application constantly maintained the pre-determined temperature of 353 K (steady-state error = < 1 K). Due to constant energy delivery, coagulation volumes linearly increased up to 1.04 ± 0.02 cm3 with irradiation time. Integration of temperature feedback with diffuser-assisted photothermal treatments can provide a feasible therapeutic modality to treat pancreatic tumors in an effective manner.

[1]  Tayyaba Hasan,et al.  Photodynamic therapy for locally advanced pancreatic cancer (vertpac study)- final clinical results , 2013 .

[2]  Yusheng Feng,et al.  Model-based planning and real-time predictive control for laser-induced thermal therapy , 2011, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[3]  R Jason Stafford,et al.  Preclinical assessment of a 980-nm diode laser ablation system in a large animal tumor model. , 2010, Journal of vascular and interventional radiology : JVIR.

[4]  L. Schumm,et al.  Tumor size on computed tomography scans , 2001, Cancer.

[5]  Janko F Verhey,et al.  A finite element method model to simulate laser interstitial thermo therapy in anatomical inhomogeneous regions. , 2005 .

[6]  B. Chang,et al.  Stereotactic body radiation therapy (SBRT) in pancreatic cancer: is it ready for prime time? , 2008, JOP : Journal of the pancreas.

[7]  S L Jacques,et al.  Modeling optical and thermal distributions in tissue during laser irradiation , 1987, Lasers in surgery and medicine.

[8]  J. D. Hazle,et al.  Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer , 2009, Annals of Biomedical Engineering.

[9]  X. X. Zhang,et al.  Dynamic modeling of photothermal interactions for laser-induced interstitial thermotherapy: parameter sensitivity analysis , 2005, Lasers in Medical Science.

[10]  Carlo Fugazzola,et al.  Microwave ablation of pancreatic head cancer: safety and efficacy. , 2013, Journal of Vascular and Interventional Radiology.

[11]  A Roggan,et al.  Optical properties of native and coagulated porcine liver tissue between 400 and 2400 nm , 2001, Lasers in surgery and medicine.

[12]  Hyun Wook Kang,et al.  Laser vaporization of the prostate in vivo: Experience with the 150‐W 980‐nm diode laser in living canines , 2010, Lasers in surgery and medicine.

[13]  Ke Cheng Xu,et al.  Cryosurgery with combination of 125iodine seed implantation for the treatment of locally advanced pancreatic cancer , 2008, Journal of digestive diseases.

[14]  B. Wilson,et al.  A Monte Carlo model for the absorption and flux distributions of light in tissue. , 1983, Medical physics.

[15]  James T. Heaton,et al.  Thermal Damage during Thulium Laser Dissection of Laryngeal Soft Tissue is Reduced with Air Cooling: Ex vivo Calf Model Study , 2007, The Annals of otology, rhinology, and laryngology.

[16]  Michael C. Kolios,et al.  The effects of dynamic optical properties during interstitial laser photocoagulation. , 2000, Physics in medicine and biology.

[17]  Dhiraj Yadav,et al.  The epidemiology of pancreatitis and pancreatic cancer. , 2013, Gastroenterology.

[18]  Stephen P Pereira,et al.  Systematic review of novel ablative methods in locally advanced pancreatic cancer. , 2014, World journal of gastroenterology.

[19]  Hyun Wook Kang,et al.  Circumferential irradiation for interstitial coagulation of urethral stricture. , 2015, Optics express.

[20]  Patrick Maisonneuve,et al.  Epidemiology of pancreatic cancer: an overview , 2009, Nature Reviews Gastroenterology &Hepatology.

[21]  Elfed Lewis,et al.  Optical fiber sensors-based temperature distribution measurement in ex vivo radiofrequency ablation with submillimeter resolution , 2014, Journal of biomedical optics.

[22]  B. Hooper Optical-thermal response of laser-irradiated tissue , 1996 .

[23]  Rei Suzuki,et al.  Endoscopic Ultrasound-Guided Oncologic Therapy for Pancreatic Cancer , 2013, Diagnostic and therapeutic endoscopy.

[24]  C. Bassi,et al.  Feasibility and safety of radiofrequency ablation for locally advanced pancreatic cancer , 2010, The British journal of surgery.

[25]  A Ishimaru,et al.  Diffusion of light in turbid material. , 1989, Applied optics.

[26]  Yun Li,et al.  PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.

[27]  A. Vogel,et al.  Mechanisms of pulsed laser ablation of biological tissues. , 2003, Chemical reviews.

[28]  Sergio Silvestri,et al.  Theoretical Analysis and Experimental Evaluation of Laser-Induced Interstitial Thermotherapy in Ex Vivo Porcine Pancreas , 2012, IEEE Transactions on Biomedical Engineering.

[29]  H. Kocher,et al.  Pancreatic Cancer , 2019, Methods in Molecular Biology.

[30]  Ashley J. Welch,et al.  Development and application of three-dimensional light distribution model for laser irradiated tissue , 1987 .

[31]  Toshiya Takeda,et al.  An evaluation of radical resection for pancreatic cancer based on the mode of recurrence as determined by autopsy and diagnostic imaging , 1993, Cancer.

[32]  Lothar Lilge,et al.  Performance evaluation of cylindrical fiber optic light diffusers for biomedical applications , 2004, Lasers in surgery and medicine.