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Erschienen in:
A Road Map for Computational Surgery: Challenges and Opportunities Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

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

verfasst von : D. Thanoon, M. Garbey, B. L. Bass

Erschienen in: Computational Surgery and Dual Training

Verlag: Springer New York

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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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Vorheriges Kapitel Computer-Aided Management in Scoliosis Surgery
Nächstes Kapitel A Statistical Framework for Biomarker Analysis and HR-MAS 2D Metabolite Identification
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Metadaten
Titel
Computational Modeling of Breast Conserving Surgery (BCS) Starting from MRI Imaging
verfasst von
D. Thanoon
M. Garbey
B. L. Bass
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Computational Surgery and Dual Training

Print ISBN: 978-1-4614-8647-3

Electronic ISBN: 978-1-4614-8648-0

Copyright-Jahr: 2014

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

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