Literature DB >> 19885373

Computerized Planning of Cryosurgery Using Bubble Packing: An Experimental Validation on a Phantom Material.

Michael R Rossi1, Daigo Tanaka, Kenji Shimada, Yoed Rabin.   

Abstract

The current study focuses on experimentally validating a planning scheme based on the so-called bubble-packing method. This study is a part of an ongoing effort to develop computerized planning tools for cryosurgery, where bubble packing has been previously developed as a means to find an initial, uniform distribution of cryoprobes within a given domain; the so-called force-field analogy was then used to move cryoprobes to their optimum layout. However, due to the high quality of the cryoprobes' distribution, suggested by bubble packing and its low computational cost, it has been argued that a planning scheme based solely on bubble packing may be more clinically relevant. To test this argument, an experimental validation is performed on a simulated cross-section of the prostate, using gelatin solution as a phantom material, proprietary liquid-nitrogen based cryoprobes, and a cryoheater to simulate urethral warming. Experimental results are compared with numerically simulated temperature histories resulting from planning. Results indicate an average disagreement of 0.8 mm in identifying the freezing front location, which is an acceptable level of uncertainty in the context of prostate cryosurgery imaging.

Entities:  

Year:  2008        PMID: 19885373      PMCID: PMC2707945          DOI: 10.1016/j.ijheatmasstransfer.2008.04.045

Source DB:  PubMed          Journal:  Int J Heat Mass Transf        ISSN: 0017-9310            Impact factor:   5.584


  20 in total

1.  A semi-empirical treatment planning model for optimization of multiprobe cryosurgery.

Authors:  R Baissalov; G A Sandison; B J Donnelly; J C Saliken; J G McKinnon; K Muldrew; J C Rewcastle
Journal:  Phys Med Biol       Date:  2000-05       Impact factor: 3.609

2.  Simultaneous optimization of cryoprobe placement and thermal protocol for cryosurgery.

Authors:  R Baissalov; G A Sandison; D Reynolds; K Muldrew
Journal:  Phys Med Biol       Date:  2001-07       Impact factor: 3.609

3.  A general model for the propagation of uncertainty in measurements into heat transfer simulations and its application to cryosurgery.

Authors:  Yoed Rabin
Journal:  Cryobiology       Date:  2003-04       Impact factor: 2.487

4.  Computerized planning of cryosurgery using cryoprobes and cryoheaters.

Authors:  Yoed Rabin; David C Lung; Thomas F Stahovich
Journal:  Technol Cancer Res Treat       Date:  2004-06

5.  Computerized planning for multiprobe cryosurgery using a force-field analogy.

Authors:  David C Lung; Thomas F Stahovich; Yoed Rabin
Journal:  Comput Methods Biomech Biomed Engin       Date:  2004-04       Impact factor: 1.763

Review 6.  Interventional and intraoperative MR: review and update of techniques and clinical experience.

Authors:  Thomas Schulz; Silvia Puccini; Jens-Peter Schneider; Thomas Kahn
Journal:  Eur Radiol       Date:  2004-10-06       Impact factor: 5.315

7.  Cryosurgery planning using bubble packing in 3D.

Authors:  Daigo Tanaka; Kenji Shimada; Michael R Rossi; Yoed Rabin
Journal:  Comput Methods Biomech Biomed Engin       Date:  2008-04       Impact factor: 1.763

8.  Two-phase computerized planning of cryosurgery using bubble-packing and force-field analogy.

Authors:  Daigo Tanaka; Kenji Shimada; Yoed Rabin
Journal:  J Biomech Eng       Date:  2006-02       Impact factor: 2.097

Review 9.  Mechanisms of tissue injury in cryosurgery.

Authors:  A A Gage; J Baust
Journal:  Cryobiology       Date:  1998-11       Impact factor: 2.487

10.  Monitoring cryosurgery in the brain and in the prostate with proton NMR.

Authors:  B Rubinsky; J C Gilbert; G M Onik; M S Roos; S T Wong; K M Brennan
Journal:  Cryobiology       Date:  1993-04       Impact factor: 2.487

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  12 in total

1.  A new method for temperature-field reconstruction during ultrasound-monitored cryosurgery using potential-field analogy.

Authors:  Chandrajit Thaokar; Michael R Rossi; Yoed Rabin
Journal:  Cryobiology       Date:  2015-11-14       Impact factor: 2.487

2.  Computerized training of cryosurgery - a system approach.

Authors:  R Keelan; S Yamakawa; K Shimada; Y Rabin
Journal:  Cryo Letters       Date:  2013 Jul-Aug       Impact factor: 1.066

3.  A Computerized Tutor Prototype for Prostate Cryotherapy: Key Building Blocks and System Evaluation.

Authors:  Yoed Rabin; Kenji Shimada; Purva Joshi; Anjali Sehrawat; Robert Keelan; Dona M Wilfong; James T McCormick
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02-22

4.  Methods for characterizing convective cryoprobe heat transfer in ultrasound gel phantoms.

Authors:  Michael L Etheridge; Jeunghwan Choi; Satish Ramadhyani; John C Bischof
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

5.  Graphics Processing Unit-Based Bioheat Simulation to Facilitate Rapid Decision Making Associated with Cryosurgery Training.

Authors:  Robert Keelan; Hong Zhang; Kenji Shimada; Yoed Rabin
Journal:  Technol Cancer Res Treat       Date:  2015-05-03

6.  Simulation-Based Cryosurgery Intelligent Tutoring System Prototype.

Authors:  Anjali Sehrawat; Robert Keelan; Kenji Shimada; Dona M Wilfong; James T McCormick; Yoed Rabin
Journal:  Technol Cancer Res Treat       Date:  2015-05-03

7.  Generating prostate models by means of geometric deformation with application to computerized training of cryosurgery.

Authors:  Anjali Sehrawat; Kenji Shimada; Yoed Rabin
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-07-11       Impact factor: 2.924

8.  Computerized planning of prostate cryosurgery using variable cryoprobe insertion depth.

Authors:  Michael R Rossi; Daigo Tanaka; Kenji Shimada; Yoed Rabin
Journal:  Cryobiology       Date:  2008-12-10       Impact factor: 2.487

9.  GPU-Based Simulation of Ultrasound Imaging Artifacts for Cryosurgery Training.

Authors:  Robert Keelan; Kenji Shimada; Yoed Rabin
Journal:  Technol Cancer Res Treat       Date:  2016-06-23

10.  Simulation-Based Cryosurgery Training: Variable Insertion Depth Planning in Prostate Cryosurgery.

Authors:  Anjali Sehrawat; Robert Keelan; Kenji Shimada; Dona M Wilfong; James T McCormick; Yoed Rabin
Journal:  Technol Cancer Res Treat       Date:  2015-11-06
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