title: Multiscale Mechano-Biological Finite Element Modelling of Oncoplastic Breast Surgery-Numerical Study towards Surgical Planning and Cosmetic Outcome Prediction.
abstract: Surgical treatment for early-stage breast carcinoma primarily necessitates breast conserving therapy (BCT), where the tumour is removed while preserving the breast shape. To date, there have been very few attempts to develop accurate and efficient computational tools that could be used in the clinical environment for pre-operative planning and oncoplastic breast surgery assessment. Moreover, from the breast cancer research perspective, there has been very little effort to model complex mechano-biological processes involved in wound healing. We address this by providing an integrated numerical framework that can simulate the therapeutic effects of BCT over the extended period of treatment and recovery. A validated, three-dimensional, multiscale finite element procedure that simulates breast tissue deformations and physiological wound healing is presented. In the proposed methodology, a partitioned, continuum-based mathematical model for tissue recovery and angiogenesis, and breast tissue deformation is considered. The effectiveness and accuracy of the proposed numerical scheme is illustrated through patient-specific representative examples. Wound repair and contraction numerical analyses of real MRI-derived breast geometries are investigated, and the final predictions of the breast shape are validated against post-operative follow-up optical surface scans from four patients. Mean (standard deviation) breast surface distance errors in millimetres of 3.1 (±3.1), 3.2 (±2.4), 2.8 (±2.7) and 4.1 (±3.3) were obtained, demonstrating the ability of the surgical simulation tool to predict, pre-operatively, the outcome of BCT to clinically useful accuracy.
authors.affiliation: Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
authors.forename: Vasileios
authors.identifier: http://orcid.org/0000-0002-4102-2084
authors.initials: V
authors.lastname: Vavourakis
authors.affiliation: Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
authors.forename: Bjoern
authors.initials: B
authors.lastname: Eiben
authors.affiliation: Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
authors.forename: John H
authors.initials: JH
authors.lastname: Hipwell
authors.affiliation: Division of Surgery & Interventional Science, University College London, 132 Hampstead Road, London, NW1 2BX, United Kingdom.
authors.forename: Norman R
authors.initials: NR
authors.lastname: Williams
authors.affiliation: Department of Surgery, Royal Free Hospital, University College London, Pond Street, London, NW3 2QG, United Kingdom.
authors.forename: Mo
authors.initials: M
authors.lastname: Keshtgar
authors.affiliation: Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
authors.forename: David J
authors.initials: DJ
authors.lastname: Hawkes
mesh_terms: D001696:Biomechanical Phenomena; D001943:Breast Neoplasms / Q000601:surgery*; D005260:Female; D020342:Finite Element Analysis; D006801:Humans; D008279:Magnetic Resonance Imaging; D015412:Mastectomy, Segmental / Q000379:methods*; D009389:Neovascularization, Pathologic; D010347:Patient Care Planning; D016896:Treatment Outcome; D014945:Wound Healing