Literature DB >> 29396685

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

Purva Joshi1, Anjali Sehrawat1, Yoed Rabin2.   

Abstract

PURPOSE: This study aims at the evaluation of a prototype of a computerized trainer for cryosurgery-the controlled destruction of cancer tumors by freezing. The hypothesis in this study is that computer-based cryosurgery training for an optimal cryoprobe layout is essentially a matter of exposure time, rather than trainee background or the specific computer-generated planning target. Key geometric features under considerations are associated with spatial limitations on cryoprobes placement and the match between the resulted thermal field and the unique anatomy of the prostate.
METHODS: All experiments in this study were performed on the cryosurgery trainer-a prototype platform for computerized cryosurgery training, which has been presented previously. Among its key features, the cryosurgery trainer displays the prostate shape and its contours and provides a distance measurement tool on demand, in order to address spatial constraints during ultrasound imaging guidance. Another unique feature of the cryosurgery trainer is an output movie, displaying the simulated thermal field at the end of the cryoprocedure.
RESULTS: The current study was performed on graduate engineering students having no formal background in medicine, and the results were benchmarked against data obtained on surgical residents having no experience with cryosurgery. Despite fundamental differences in background and experience, neither group displayed superior performance when it comes to cryoprobe layout planning.
CONCLUSIONS: This study demonstrates that computer-based training of an optimal cryoprobe layout is feasible. This study demonstrates that the training quality is essentially related to the training exposure time, rather than to a specific planning strategy from those investigated.

Entities:  

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

Mesh:

Year:  2018        PMID: 29396685     DOI: 10.1007/s11548-017-1700-8

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  22 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.  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.  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 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

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.