Computational modeling of breast conserving surgery (bcs) starting from MRI imaging

D. Thanoon, M. Garbey, B. L. Bass

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

Breast conserving therapy (BCT) is a less radical surgery consisting of the removal of the tumor (partial mastectomy) including a negative margin followed by radiotherapy. It provides the same incidence of local recurrence—reappearance of the cancer in the vicinity of a previously removed cancer—than a complete mastectomy (complete removal of the breast), with the advantage of offering faster recovery and better cosmetic outcome for patients. Nevertheless, many patients remain with some major cosmetic defects such as concave deformities, distortion of the nipple aerolar complex, and asymmetric changes.There are currently no procedures, other than surgical experience and judgment, allowing prediction on the impact of partial mastectomy on the contour and the deformity of the treated breast.The present work defines the basic principles of a virtual surgery toolbox that will allow to predict BCT intervention outcome.

Original languageEnglish (US)
Title of host publicationComputational Surgery and Dual Training: Computing, Robotics and Imaging
Subtitle of host publicationComputing, Robotics and Imaging
PublisherSpringer New York
Pages67-88
Number of pages22
ISBN (Electronic)9781461486480
ISBN (Print)9781461486480, 9781461486473
DOIs
StatePublished - Jan 1 2014

Keywords

  • Breast cancer
  • Breast conservative therapy
  • Cosmetic outcome
  • Image segmentation
  • Lumpectomy
  • Magnetic resonance imaging
  • Mechanical stress
  • Quality of life
  • Soft tissue mechanic
  • Tissue stiffness
  • Tumor

ASJC Scopus subject areas

  • Engineering(all)

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