Literature DB >> 23919823

Deriving indicators for breast conserving surgery using finite element analysis.

D Thanoon1, M Garbey, B L Bass.   

Abstract

Breast conserving therapy (BCT), comprising a complete surgical excision of the tumour (partial mastectomy) with post-operative radiotherapy to the remaining breast tissue, is feasible for most women undergoing treatment for breast cancer. The goal of BCT is to achieve local control of the cancer, as well as to preserve a breast that satisfies a woman's cosmetic concerns. Although most women undergo partial mastectomy with satisfactory cosmetic results, in many patients the remaining breast is left with major cosmetic defects including concave deformities, distortion of the nipple-areolar complex, asymmetry and changes in tissue density characterised by excessive density associated with parenchymal scarring, as well as breast pain. There are currently no tools, other than surgical experience and judgement, which can predict the impact of partial mastectomy on the contour, the deformity of the treated breast and the mechanical stress that it induces. In this study, we use a finite element model to execute virtual surgery and carry out a sensitivity analysis on the resection location, the resection size, the breast tissue mechanical property and the different post-surgery recovery stage. We output the result in two different built-in indicators labelled as the cosmetic and the functional indicators. This study used the breast model for three women with breast cancer who have been elected to undergo BCT and are being treated at the Methodist Hospital in Houston, TX. The goal of this study was to propose a first glimpse of the key parameter leading to satisfactory post-BCT cosmetic results.

Entities:  

Keywords:  breast conserving therapy; computational surgery; cosmetic indicator; mechanical stress; soft-tissue mechanics; tissue engineering

Mesh:

Year:  2013        PMID: 23919823     DOI: 10.1080/10255842.2013.820716

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  Interrogating a multifactorial model of breast conserving therapy with clinical data.

Authors:  Remi Salmon; Marc Garbey; Linda W Moore; Barbara L Bass
Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

2.  An Anthropometric-Based Subject-Specific Finite Element Model of the Human Breast for Predicting Large Deformations.

Authors:  Silvia Pianigiani; Leonardo Ruggiero; Bernardo Innocenti
Journal:  Front Bioeng Biotechnol       Date:  2015-12-24
  2 in total

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