Development of a searchable database of cryoablation simulations for use in treatment planning Journal Article


Authors: Boas, F. E.; Srimathveeravalli, G.; Durack, J. C.; Kaye, E. A.; Erinjeri, J. P.; Ziv, E.; Maybody, M.; Yarmohammadi, H.; Solomon, S. B.
Article Title: Development of a searchable database of cryoablation simulations for use in treatment planning
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. © 2016, Springer Science+Business Media New York and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE).
Keywords: prediction; simulation; cryoablation; planning
Journal Title: CardioVascular and Interventional Radiology
Volume: 40
Issue: 5
ISSN: 0174-1551
Publisher: Springer  
Date Published: 2017-05-01
Start Page: 761
End Page: 768
Language: English
DOI: 10.1007/s00270-016-1562-4
PROVIDER: scopus
PMCID: PMC5374014
PUBMED: 28050658
DOI/URL:
Notes: Article -- Export Date: 2 May 2017 -- Source: Scopus
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MSK Authors
  1. Majid Maybody
    98 Maybody
  2. Stephen Solomon
    422 Solomon
  3. Joseph Patrick Erinjeri
    200 Erinjeri
  4. Jeremy Charles Durack
    116 Durack
  5. Elena Aleksandrovna Kaye
    16 Kaye
  6. Franz Edward Boas
    77 Boas
  7. Etay   Ziv
    111 Ziv