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Computational Modeling of Breast Conserving Surgery (BCS) Starting from MRI Imaging

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Computational Surgery and Dual Training

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.

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Acknowledgements

This research work has been funded by The Methodist Hospital Research Institute of the Texas medical center. We would like to thank Professor Nam-Ho-Kim from University of Florida for his advice on using the ANSYS finite element software.

Author information

Authors and Affiliations

  1. CS at UH Department, Houston, Texas, USA

    D. Thanoon

  2. Department of Computer Science, University of Houston, Houston, TX, USA

    M. Garbey

  3. The Methodist Institute for Technology, Innovation and Education Houston, Houston, TX, USA

    M. Garbey & B. L. Bass

  4. The Houston Methodist Hospital, Houston, TX, USA

    B. L. Bass

Authors
  1. D. Thanoon
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  2. M. Garbey
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  3. B. L. Bass
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Corresponding author

Correspondence to M. Garbey .

Editor information

Editors and Affiliations

  1. Dept of Computer Science, University of Houston, Houston, Texas, USA

    Marc Garbey

  2. Dept. Surgery, The Methodist Hospital Research Institut, Houston, Texas, USA

    Barbara Lee Bass

  3. Department of Surgery, University of Florida, Gainesville, Florida, USA

    Scott Berceli

  4. Labo. Sciences de l'Images, de l'Informatique et de la Télédétection, Université Strasbourg I ENSPS, Illkirch, France

    Christophe Collet

  5. Biomedical Engineering Department, Politecnico di Milano, Milano, Italy

    Pietro Cerveri

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Thanoon, D., Garbey, M., Bass, B.L. (2014). Computational Modeling of Breast Conserving Surgery (BCS) Starting from MRI Imaging. In: Garbey, M., Bass, B., Berceli, S., Collet, C., Cerveri, P. (eds) Computational Surgery and Dual Training. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8648-0_5

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  • DOI: https://doi.org/10.1007/978-1-4614-8648-0_5

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-8647-3

  • Online ISBN: 978-1-4614-8648-0

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