Literature DB >> 25941163

Simulation-Based Cryosurgery Intelligent Tutoring System Prototype.

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

Abstract

As a part of an ongoing effort to develop computerized training tools for cryosurgery, the current study presents a proof of concept for a computerized tool for cryosurgery tutoring. The tutoring system lists geometrical constraints of cryoprobes placement, simulates cryoprobe insertion, displays a rendered shape of the prostate, enables distance measurements, simulates the corresponding thermal history, and evaluates the mismatch between the target region shape and a preselected planning isotherm. The quality of trainee planning is measured in comparison with a computer-generated planning, created for each case study by previously developed planning algorithms. The following two versions of the tutoring system have been tested in the current study: (1) an unguided version, where the trainee can practice cases in unstructured sessions and (2) an intelligent tutoring system, which forces the trainee to follow specific steps, believed by the authors to potentially shorten the learning curve. Although the tutoring level in this study aims only at geometrical constraints on cryoprobe placement and the resulting thermal histories, it creates a unique opportunity to gain insight into the process outside the operation room. Post-test results indicate that the intelligent tutoring system may be more beneficial than the nonintelligent tutoring system, but the proof of concept is demonstrated with either system.
© The Author(s) 2015.

Entities:  

Keywords:  bioheat; cryosurgery; intelligent system; planning; simulation; training

Mesh:

Year:  2015        PMID: 25941163      PMCID: PMC4826053          DOI: 10.1177/1533034615583187

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


  22 in total

1.  Structured computer-based training in the interpretation of neuroradiological images.

Authors:  M Sharples; N P Jeffery; B du Boulay; B A Teather; D Teather; G H du Boulay
Journal:  Int J Med Inform       Date:  2000-12       Impact factor: 4.046

2.  Development of visual diagnostic expertise in pathology.

Authors:  R S Crowley; G J Naus; C P Friedman
Journal:  Proc AMIA Symp       Date:  2001

3.  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

4.  Initial evaluation of a shoulder arthroscopy simulator: establishing construct validity.

Authors:  Sakti Srivastava; Patricia L Youngblood; Chantal Rawn; Sanaz Hariri; W L Heinrichs; Amy L Ladd
Journal:  J Shoulder Elbow Surg       Date:  2004 Mar-Apr       Impact factor: 3.019

5.  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

6.  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

7.  Evaluation of computer-aided instruction in a gross anatomy course: a six-year study.

Authors:  John A McNulty; Beth Sonntag; James M Sinacore
Journal:  Anat Sci Educ       Date:  2009 Jan-Feb       Impact factor: 5.958

8.  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

9.  Effect of virtual reality training on laparoscopic surgery: randomised controlled trial.

Authors:  Christian R Larsen; Jette L Soerensen; Teodor P Grantcharov; Torur Dalsgaard; Lars Schouenborg; Christian Ottosen; Torben V Schroeder; Bent S Ottesen
Journal:  BMJ       Date:  2009-05-14

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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  9 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.  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

3.  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

4.  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

5.  Digital Education in Ophthalmology.

Authors:  Tala Al-Khaled; Luis Acaba-Berrocal; Emily Cole; Daniel S W Ting; Michael F Chiang; R V Paul Chan
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2022-05-01

6.  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

7.  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

8.  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 9.  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
  9 in total

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