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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
This
research has been supported, in part, by the National Institute of Biomedical
Imaging and Bioengineering (NIBIB) NIH Grant # 1R01EB003563 This
research has been supported, in part, by the National Cancer Institute, NIH
Grant # 1R01CA134261
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