New treatment strategy of cryosurgery and temperature control

Cryosurgery, recommended as an effective method for tumor treatment, has been widely used in clinics. However, it might lead to a high probability of tumor recurrence due to incomplete tumor damage. The treatment protocol for cryosurgery is essential to achieve the desired therapeutic effects. In this study, a new temperature fluctuation treatment method was proposed, and the fuzzy control method based on piecewise adjustment was developed for temperature control during the treatment. Ex vivo rat liver experiments were conducted and histopathology analysis used to study the therapeutic effects of the new treatment method.

[1]  P. Mazur.  Cryobiology: the freezing of biological systems. , 1970, Science.

[2]  W. Gill,et al.  A critical look at cryosurgery. , 1971, International surgery.

[3]  C. Blackwood,et al.  Response of experimental tumor systems to cryosurgery. , 1972, Cryobiology.

[4]  S. Harly,et al.  Cryosurgery , 1972 .

[5]  J. R. Chandler.  Cryosurgery for recurrent carcinoma of the oral cavity. , 1973, Archives of otolaryngology.

[6]  H. B. Neel,et al.  Experimental evaluation of in situ oncocide for primary tumor therapy: Comparison of tumor‐specific immunity after complete excision, cryonecrosis and ligation , 1973, The Laryngoscope.

[7]  D. K. Whittaker.  Ice crystals formed in tissue during cryosurgery. II. Electron microscopy. , 1974, Cryobiology.

[8]  C. A. Walter,et al.  The cryobiological basis for cryosurgery. , 1977, The Journal of dermatologic surgery and oncology.

[9]  S. Tanaka.  Immunological aspects of cryosurgery in general surgery. , 1982, Progress in clinical and biological research.

[10]  P. Mazur.  Freezing of living cells: mechanisms and implications. , 1984, The American journal of physiology.

[11]  Spyros G. Tzafestas,et al.  Fuzzy systems and fuzzy expert control: An overview , 1994, The Knowledge Engineering Review.

[12]  A. Gage,et al.  Mechanisms of tissue injury in cryosurgery. , 1998, Cryobiology.

[13]  Hung-Yuan Chung,et al.  A PID type fuzzy controller with self-tuning scaling factors , 2000, Fuzzy Sets Syst..

[14]  G. Sandison,et al.  Simultaneous optimization of cryoprobe placement and thermal protocol for cryosurgery. , 2001, Physics in medicine and biology.

[15]  Jianqi Sun,et al.  A New Thermal System for Tumor Treatment , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[16]  Ruzhu Wang,et al.  Development and performance test of a cryoprobe with heat transfer enhancement configuration , 2006 .

[17]  K. Griffith,et al.  Rate of Freeze Alters the Immunologic Response After Cryoablation of Breast Cancer , 2010, Annals of Surgical Oncology.

[18]  J. Langenhuijsen,et al.  Cryosurgery for prostate cancer: an update on clinical results of modern cryotechnology. , 2009, European urology.

[19]  Guirong Liu,et al.  An efficient algorithm for phase change problem in tumor treatment using αFEM , 2010 .

[20]  Zhanghao Cai,et al.  Design of a new probe for tumor treatment in the alternate thermal system based on numerical simulation , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.