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},
}
Downloads: 0
{"_id":"s7atbM95LDZcG3Ffi","bibbaseid":"boas-srimathveeravalli-durack-kaye-erinjeri-ziv-maybody-yarmohammadi-etal-developmentofasearchabledatabaseofcryoablationsimulationsforuseintreatmentplanning-2017","downloads":0,"creationDate":"2019-03-08T19:02:46.005Z","title":"Development of a Searchable Database of Cryoablation Simulations for Use in Treatment Planning","author_short":["Boas, F. E.","Srimathveeravalli, G.","Durack, J. C.","Kaye, E. A.","Erinjeri, J. P.","Ziv, E.","Maybody, M.","Yarmohammadi, H.","Solomon, S. B."],"year":2017,"bibtype":"article","biburl":"https://bibbase.org/zotero/sannpeterson","bibdata":{"bibtype":"article","type":"article","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":[{"propositions":[],"lastnames":["Boas"],"firstnames":["F.","Edward"],"suffixes":[]},{"propositions":[],"lastnames":["Srimathveeravalli"],"firstnames":["Govindarajan"],"suffixes":[]},{"propositions":[],"lastnames":["Durack"],"firstnames":["Jeremy","C."],"suffixes":[]},{"propositions":[],"lastnames":["Kaye"],"firstnames":["Elena","A."],"suffixes":[]},{"propositions":[],"lastnames":["Erinjeri"],"firstnames":["Joseph","P."],"suffixes":[]},{"propositions":[],"lastnames":["Ziv"],"firstnames":["Etay"],"suffixes":[]},{"propositions":[],"lastnames":["Maybody"],"firstnames":["Majid"],"suffixes":[]},{"propositions":[],"lastnames":["Yarmohammadi"],"firstnames":["Hooman"],"suffixes":[]},{"propositions":[],"lastnames":["Solomon"],"firstnames":["Stephen","B."],"suffixes":[]}],"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","bibtex":"@article{boas_development_2017,\n\ttitle = {Development of a {Searchable} {Database} of {Cryoablation} {Simulations} for {Use} in {Treatment} {Planning}},\n\tvolume = {40},\n\tissn = {1432-086X},\n\tdoi = {10.1007/s00270-016-1562-4},\n\tabstract = {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.\nMATERIALS 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.\nRESULTS: 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.\nCONCLUSION: 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.},\n\tlanguage = {eng},\n\tnumber = {5},\n\tjournal = {Cardiovascular and Interventional Radiology},\n\tauthor = {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.},\n\tmonth = may,\n\tyear = {2017},\n\tpmid = {28050658},\n\tpmcid = {PMC5374014},\n\tnote = {00000 },\n\tkeywords = {Cryoablation, Cryosurgery, Databases, Factual, Humans, In Vitro Techniques, Kidney, Liver, Planning, Prediction, Reproducibility of Results, Retrospective Studies, Simulation},\n\tpages = {761--768},\n}\n\n","author_short":["Boas, F. E.","Srimathveeravalli, G.","Durack, J. C.","Kaye, E. A.","Erinjeri, J. P.","Ziv, E.","Maybody, M.","Yarmohammadi, H.","Solomon, S. B."],"key":"boas_development_2017","id":"boas_development_2017","bibbaseid":"boas-srimathveeravalli-durack-kaye-erinjeri-ziv-maybody-yarmohammadi-etal-developmentofasearchabledatabaseofcryoablationsimulationsforuseintreatmentplanning-2017","role":"author","urls":{},"keyword":["Cryoablation","Cryosurgery","Databases","Factual","Humans","In Vitro Techniques","Kidney","Liver","Planning","Prediction","Reproducibility of Results","Retrospective Studies","Simulation"],"metadata":{"authorlinks":{}},"html":""},"search_terms":["development","searchable","database","cryoablation","simulations","use","treatment","planning","boas","srimathveeravalli","durack","kaye","erinjeri","ziv","maybody","yarmohammadi","solomon"],"keywords":["cryoablation","cryosurgery","databases","factual","humans","in vitro techniques","kidney","liver","planning","prediction","reproducibility of results","retrospective studies","simulation"],"authorIDs":[],"dataSources":["JPAoq8b4ppzXj5XYZ"]}