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Computerized Planning of Cryosurgery

 

Cryosurgery has been known as an invasive surgical technique since 1961, when Cooper and Lee invented the first cryoprobe. In the 1990s, new developments in Joule-Thomson cooling (the cooling effect associated with a sudden relief of a pressurized gas) led to a dramatic decrease in the size of cryoprobes and an increase in the number of cryoprobes that could be used simultaneously. A dozen or more cryoprobes operating simultaneously in a single prostate cryosurgery is already common practice. With proper planning, one of the primary benefits of using a large number of miniaturized cryoprobes is superior control over the freezing process.

 

Currently, the process of selecting a cryoprobe layout for a specific procedure is an art held by the cryosurgeon, based on the surgeon’s own experience and rules of thumb. Cryoprobes are typically operated in a trail-and-error fashion, until the entire target volume is thought to be frozen. Currently, there are no means to determine the optimal locations for the cryoprobes. Suboptimal cryoprobe localization may leave unfrozen areas in the target region, may lead to cryoinjury in healthy surrounding tissues, may require an unnecessarily large number of cryoprobes, may increase the duration of the surgical procedure, and may increase the likelihood of post cryosurgery complications, all of which affect the quality and cost of the medical treatment. Computerized planning tools would help to alleviate these difficulties.

 

Our goal is to develop computerized planning tools for cryosurgery that are suitable for all available cooling techniques. Towards this goal, we have developed two algorithms for computer-generated planning of minimally invasive cryosurgery, known as the force-field analogy method and the bubble-packing method.

 

Selected animated movies on the process of computer-generated planning:

       Computerized planning of cryosurgery via bubble packing (movies) 

       Computerized Planning: insertion-depth effect (movies) 

 

Selected publications:

       Joshi, P., Sehrawat, A., Rabin, Y., (2017): Computerized Planning of Prostate Cryosurgery and Shape Considerations, Special Collection on Cryotherapy, Technology in Cancer Research and Treatment, PubMed, HHS Public Access, Sage

       Keelan, R., Zhang, H., Shimada, K., Rabin, Y. (2016):  GPU-based bioheat simulation to facilitate rapid decision making associated with cryosurgery training, Technology in Cancer Research and Treatment 15(2): 377-386 PubMed, HHS Public Access, Sage

       Keelan, R., Yamakawa, S., Shimada, K., Rabin, Y. (2013): Computerized Training of cryosurgery – a system approach, CryoLetters 34(4):324-337 PubMed, HHS Public Access

       Rossi, M.R., Tanaka, D., Shimada, K., Rabin, Y. (2010): Computerized planning of prostate cryosurgery using variable cryoprobe insertion depth. Cryobiology 60(1):71-79 PubMed, HHS Public Access, ScienceDirect, BTTL Depository

       Rabin, Y. (2009): Computerized planning of cryosurgery: from model reconstruction to cryoprobe placement strategies. BiOS 2009, Energy-based Treatment of Tissue and Assessment V, San Jose, CA, USA (January 24-29) PubMed, HHS Public Access, BTTL Depository

       Rossi, M.R., Tanaka, D., Shimada, K., Rabin, Y. (2008): Computerized planning of cryosurgery using bubble packing: an experimental validation on a phantom material. International Journal of Heat and Mass Transfer 51(23-24):5671-5678 PubMed, HHS Public Access, BTTL Depository

       Tanaka, D., Shimada, K., Rossi, M.R., Rabin, Y. (2008): Computerized planning of prostate cryosurgery with pullback procedure. Computer Aided Surgery, 13(1):1-13 PubMed

       Tanaka, D., Shimada, K., Rossi, M.R., Rabin, Y. (2008): Computerized planning of prostate cryosurgery with pullback procedure. Computer Aided Surgery, 13(1):1-13 PubMed, Taylor & Francis (open access)

       Rabin, Y. (2008): Key issues in bioheat transfer simulations for the application of cryosurgery planning. Cryobiology, 56(3):248-50 PubMed, HHS Public Access, ScienceDirect, BTTL Depository

       Rossi, M.R., Tanaka, D., Shimada, K., Rabin, Y. (2007): An efficient numerical technique for bioheat simulations and its application to computerized cryosurgery planning. Computer Methods and Programs in Biomedicine, 85(1):41-50 PubMed, HHS Public Access, BTTL Depository

       Tanaka, D., Rossi, M.R., Shimada, K., Rabin, Y. (2007): Towards intra-operative computerized planning of prostate cryosurgery. The International Journal of Medical Robotics and Computer Assisted Surgery, 3:10-19 PubMed, HHS Public Access, BTTL Depository

       Rossi, M., Rabin, Y. (2007): Analysis of a numerical scheme for bioheat simulations of cryosurgery and its experimental validation on a phantom material. MSV'07-The 2007 International Conference on Modeling, Simulation and Visualization Methods, Las Vegas, Nevada (June 25-28) BTTL Depository

       Rossi, M.R., Rabin, Y. (2007): Experimental verification of numerical simulations of cryosurgery with application to computerized planning. Physics in Medicine and Biology 52:4553-4567 PubMed, HHS Public Access, BTTL Depository

       Tanaka, D., Shimada, K., Rabin, Y. (2006): Two-phase Computerized Planning of Cryosurgery Using Bubble-packing and Force-field Analogy. ASME Journal of Biomechanical Engineering, 128(1):49-58 PubMed, HHS Public Access, ASME Digital Collection, BTTL Depository

       Lung, D.C., Stahovich, T.F., Rabin, Y. (2004): Computerized planning for multiprobe cryosurgery using a force-field analogy. Computer Methods in Biomechanics and Biomedical Engineering, 7(2):101-110 PubMed, BTTL Depository

       Rabin, Y., Lung, D.C., Stahovich, T.F. (2004): Computerized planning of cryosurgery using cryoprobes and cryoheaters. Technology in Cancer Research and Treatment, 3(3):227-243. PubMed, Sage (open access), BTTL Depository

 

 

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This research has been supported, in part, by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) NIH Grant # 1R01EB003563

 

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This research has been supported, in part, by the National Cancer Institute, NIH Grant # 1R01CA134261

 

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