Literature DB >> 22782183

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

Anjali Sehrawat1, Kenji Shimada, Yoed Rabin.   

Abstract

PURPOSE: As a part of an ongoing project to develop computerized training tools for cryosurgery, the objective of the current study is twofold: to compile literature data on the likelihood of cancer tumor growth and its effect on the prostate shape and to present a deformation scheme for a 3D organ template in order to generate clinically relevant prostate models. The long-term objective of this study is to develop a database of prostate models for computerized training.
METHODS: Cryosurgery is typically performed on patients with localized prostate cancer found in stage T3 or earlier. The distribution of key geometric features likely to be found in the prostate at stage T3 is integrated into a 3D prostate template by employing the extended free-form deformation (EFFD) method. The applied scheme combines two steps: pre-selecting a set of geometric parameter values and manipulating the lattice control points until the prostate model meets the desired criteria.
RESULTS: Examples for model generation are displayed, based on two 3D prostate templates previously obtained from ultrasound imaging. These examples include selected cases with unilateral and bilateral stage T3 tumor growth, suitable for incorporation into a training database.
CONCLUSIONS: EFFD is an efficient method for rapid generation of prostate models. The compiled criteria for model generation do not lead to a unique shape since the contours for template deformation are randomly selected. Nevertheless, these criteria do lead to shapes resembling cancer growth, as various growth histories can lead to a tumor characterized by the same key parameter values.

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Year:  2012        PMID: 22782183      PMCID: PMC4037744          DOI: 10.1007/s11548-012-0780-8

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.  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

4.  Cost- and time-effective three-dimensional bone-shape reconstruction from X-ray images.

Authors:  Murat Gunay; Mun-Bo Shim; Kenji Shimada
Journal:  Int J Med Robot       Date:  2007-12       Impact factor: 2.547

Review 5.  Mechanisms of tissue injury in cryosurgery.

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

6.  Patterns of spread of adenocarcinoma in the prostate as related to cancer volume.

Authors:  J E McNeal; O Haillot
Journal:  Prostate       Date:  2001-09-15       Impact factor: 4.104

7.  Prostate cryoablation using direct transperineal placement of ultrathin probes through a 17-gauge brachytherapy template-technique and preliminary results.

Authors:  A Zisman; A J Pantuck; J K Cohen; A S Belldegrun
Journal:  Urology       Date:  2001-12       Impact factor: 2.649

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.  Investigating the distribution of prostate cancer using three-dimensional computer simulation.

Authors:  M B Opell; J Zeng; J J Bauer; R R Connelly; W Zhang; I A Sesterhenn; S K Mun; J W Moul; J H Lynch
Journal:  Prostate Cancer Prostatic Dis       Date:  2002       Impact factor: 5.554

10.  Topographical anatomy of periprostatic and capsular nerves: quantification and computerised planimetry.

Authors:  Roman Ganzer; Andreas Blana; Andreas Gaumann; Jens-Uwe Stolzenburg; Robert Rabenalt; Thorsten Bach; Wolf F Wieland; Stefan Denzinger
Journal:  Eur Urol       Date:  2008-04-15       Impact factor: 20.096

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  8 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.  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

5.  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

6.  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

7.  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 8.  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
  8 in total

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