Development of a Searchable Database of Cryoablation Simulations for Use in Treatment Planning. Boas, F. E., Srimathveeravalli, G., Durack, J. C., Kaye, E. A., Erinjeri, J. P., Ziv, E., Maybody, M., Yarmohammadi, H., & Solomon, S. B. Cardiovascular and Interventional Radiology, 40(5):761–768, May, 2017. 00000
doi  abstract   bibtex   
PURPOSE: To create and validate a planning tool for multiple-probe cryoablation, using simulations of ice ball size and shape for various ablation probe configurations, ablation times, and types of tissue ablated. MATERIALS AND METHODS: Ice ball size and shape was simulated using the Pennes bioheat equation. Five thousand six hundred and seventy different cryoablation procedures were simulated, using 1-6 cryoablation probes and 1-2 cm spacing between probes. The resulting ice ball was measured along three perpendicular axes and recorded in a database. Simulated ice ball sizes were compared to gel experiments (26 measurements) and clinical cryoablation cases (42 measurements). The clinical cryoablation measurements were obtained from a HIPAA-compliant retrospective review of kidney and liver cryoablation procedures between January 2015 and February 2016. Finally, we created a web-based cryoablation planning tool, which uses the cryoablation simulation database to look up the probe spacing and ablation time that produces the desired ice ball shape and dimensions. RESULTS: Average absolute error between the simulated and experimentally measured ice balls was 1 mm in gel experiments and 4 mm in clinical cryoablation cases. The simulations accurately predicted the degree of synergy in multiple-probe ablations. The cryoablation simulation database covers a wide range of ice ball sizes and shapes up to 9.8 cm. CONCLUSION: Cryoablation simulations accurately predict the ice ball size in multiple-probe ablations. The cryoablation database can be used to plan ablation procedures: given the desired ice ball size and shape, it will find the number and type of probes, probe configuration and spacing, and ablation time required.
@article{boas_development_2017,
	title = {Development of a {Searchable} {Database} of {Cryoablation} {Simulations} for {Use} in {Treatment} {Planning}},
	volume = {40},
	issn = {1432-086X},
	doi = {10.1007/s00270-016-1562-4},
	abstract = {PURPOSE: To create and validate a planning tool for multiple-probe cryoablation, using simulations of ice ball size and shape for various ablation probe configurations, ablation times, and types of tissue ablated.
MATERIALS AND METHODS: Ice ball size and shape was simulated using the Pennes bioheat equation. Five thousand six hundred and seventy different cryoablation procedures were simulated, using 1-6 cryoablation probes and 1-2 cm spacing between probes. The resulting ice ball was measured along three perpendicular axes and recorded in a database. Simulated ice ball sizes were compared to gel experiments (26 measurements) and clinical cryoablation cases (42 measurements). The clinical cryoablation measurements were obtained from a HIPAA-compliant retrospective review of kidney and liver cryoablation procedures between January 2015 and February 2016. Finally, we created a web-based cryoablation planning tool, which uses the cryoablation simulation database to look up the probe spacing and ablation time that produces the desired ice ball shape and dimensions.
RESULTS: Average absolute error between the simulated and experimentally measured ice balls was 1 mm in gel experiments and 4 mm in clinical cryoablation cases. The simulations accurately predicted the degree of synergy in multiple-probe ablations. The cryoablation simulation database covers a wide range of ice ball sizes and shapes up to 9.8 cm.
CONCLUSION: Cryoablation simulations accurately predict the ice ball size in multiple-probe ablations. The cryoablation database can be used to plan ablation procedures: given the desired ice ball size and shape, it will find the number and type of probes, probe configuration and spacing, and ablation time required.},
	language = {eng},
	number = {5},
	journal = {Cardiovascular and Interventional Radiology},
	author = {Boas, F. Edward and Srimathveeravalli, Govindarajan and Durack, Jeremy C. and Kaye, Elena A. and Erinjeri, Joseph P. and Ziv, Etay and Maybody, Majid and Yarmohammadi, Hooman and Solomon, Stephen B.},
	month = may,
	year = {2017},
	pmid = {28050658},
	pmcid = {PMC5374014},
	note = {00000 },
	keywords = {Cryoablation, Cryosurgery, Databases, Factual, Humans, In Vitro Techniques, Kidney, Liver, Planning, Prediction, Reproducibility of Results, Retrospective Studies, Simulation},
	pages = {761--768},
}

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