Literature DB >> 28717259

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

Yoed Rabin1,2, Kenji Shimada1, Purva Joshi1, Anjali Sehrawat1, Robert Keelan1, Dona M Wilfong2, James T McCormick3.   

Abstract

This paper focuses on the evaluation of a prototype for a computer-based tutoring system for prostate cryosurgery, while reviewing its key building blocks and their benchmark performance. The tutoring system lists geometrical constraints of cryoprobe placement, displays a rendered shape of the prostate, simulates cryoprobe insertion, enables distance measurements, simulates the corresponding thermal history, and evaluates the mismatch between the target region shape and a pre-selected planning isotherm. The quality of trainee planning is measured in comparison with a computer-generated plan, created for each case study by a previously developed planning algorithm, known as bubble-packing. While the tutoring level in this study aims only at geometrical constraints on cryoprobe placement and the resulting thermal history, it creates a unique opportunity to gain insight into the process outside of the operation room. System validation of the tutor has been performed by collecting training data from surgical residents, having no prior experience or advanced knowledge of cryotherapy. Furthermore, the system has been evaluated by graduate engineering students having no formal education in medicine. In terms of match between a planning isotherm and the target region shape, results demonstrate medical residents' performance improved from 4.4% in a pretest to 37.8% in a posttest over a course of 50 minutes of training (within 10% margins from a computer-optimized plan). Comparing those results with the performance of engineering students indicates similar results, suggesting that planning of the cryoprobe layout essentially revolves around geometric considerations.

Entities:  

Keywords:  Cryosurgery; Evaluation; Optimization; Planning; Prostate; Simulation; Training

Year:  2017        PMID: 28717259      PMCID: PMC5510662          DOI: 10.1117/12.2257151

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  23 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.  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

4.  An optimisation approach to multiprobe cryosurgery planning.

Authors:  Giovanni Giorgi; Leopoldo Avalle; Massimo Brignone; Michele Piana; Giacomo Caviglia
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-01-06       Impact factor: 1.763

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.  Cryosurgery as a treatment for prostate carcinoma: results and complications.

Authors:  W S Wong; D O Chinn; M Chinn; J Chinn; W L Tom; W L Tom
Journal:  Cancer       Date:  1997-03-01       Impact factor: 6.860

8.  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

9.  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

10.  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

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  2 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

Review 2.  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
  2 in total

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