Literature DB >> 26546576

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

Anjali Sehrawat1, Robert Keelan1, Kenji Shimada1, Dona M Wilfong2, James T McCormick3, Yoed Rabin4.   

Abstract

A proof-of-concept for an advanced-level computerized training tool for cryosurgery is demonstrated, based on three-dimensional cryosurgery simulations and a variable insertion depth strategy for cryoprobes. The objective for system development is two-fold: to identify a cryoprobe layout in order to best match a planning isotherm with the target region shape and to verify that cryoprobe placement does not violate accepted geometric constraints. System validation has been performed by collecting training data from 17 surgical residents having no prior experience or advanced knowledge of cryosurgery. This advanced-level study includes an improved training session design in order to enhance knowledge dissemination and elevate participant motivation to excel. In terms of match between a planning isotherm and the target region shape, results of this demonstrate trainee performance improvement from 4.4% in a pretest to 44.4% in a posttest over a course of 50 minutes of training. In terms of combined performance, including the above-mentioned geometrical match and constraints on cryoprobe placement, this study demonstrates trainee performance improvement from 2.2% in the pretest to 31.1% in the posttest. Given the relatively short training session and the lack of prior knowledge, these improvements are significant and encouraging. These results are of particular significance, as they have been obtained from a surgical resident population which are exposed to the typical stress and constraints in advanced surgical education.
© The Author(s) 2015.

Entities:  

Keywords:  bioheat; cryosurgery; planning; prostate; simulation; training

Mesh:

Year:  2015        PMID: 26546576      PMCID: PMC4860189          DOI: 10.1177/1533034615611509

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  17 in total

1.  Patient safety and simulation-based medical education.

Authors:  A Ziv Stephen D Small Paul Root Wolpe
Journal:  Med Teach       Date:  2000       Impact factor: 3.650

2.  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

Review 3.  Mechanisms of tissue injury in cryosurgery.

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

4.  An intelligent learning environment for advanced cardiac life support.

Authors:  C R Eliot; K A Williams; B P Woolf
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

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

Authors:  Michael R Rossi; Daigo Tanaka; Kenji Shimada; Yoed Rabin
Journal:  Int J Heat Mass Transf       Date:  2008-11       Impact factor: 5.584

9.  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

Review 10.  Simulation technology for skills training and competency assessment in medical education.

Authors:  Ross J Scalese; Vivian T Obeso; S Barry Issenberg
Journal:  J Gen Intern Med       Date:  2008-01       Impact factor: 5.128

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  4 in total

1.  The role of exposure time in computerized training of prostate cryosurgery: performance comparison of surgical residents with engineering students.

Authors:  Purva Joshi; Anjali Sehrawat; Yoed Rabin
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-02-02       Impact factor: 2.924

2.  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

3.  Computerized Planning of Prostate Cryosurgery and Shape Considerations.

Authors:  Purva Joshi; Anjali Sehrawat; Yoed Rabin
Journal:  Technol Cancer Res Treat       Date:  2017-07-21

Review 4.  Defeating Cancers' Adaptive Defensive Strategies Using Thermal Therapies: Examining Cancer's Therapeutic Resistance, Ablative, and Computational Modeling Strategies as a means for Improving Therapeutic Outcome.

Authors:  John M Baust; Yoed Rabin; Thomas J Polascik; Kimberly L Santucci; Kristi K Snyder; Robert G Van Buskirk; John G Baust
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  4 in total

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