Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework

Emerging techniques in breast MRI

“…Examples of the reaction-diffusion model utilized to model clinically relevant problems of breast cancer using MRI data span the prediction and assessment of neoadjuvant therapies [165][166][167][168] to surgical planning for breast conserving surgery 180,181 . Using a similar model to Eq.…”

Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment

“…However, the benefits of using more information were offset by the cost and the complexity of the data acquisition process, leaving the single frontal image as the preferred acquisition protocol for the aesthetic assessment [ 21 , 22 ]. Nevertheless, 3D imaging can provide a stronger starting point than conventional photography for physics-based models that may be beneficial for surgical planning and supporting physician-patient communication [ 23 ].…”

“…The balance between optimal oncological and aesthetic outcomes. conventional photography for physics-based models that may be beneficial for surgical planning and supporting physician-patient communication [23].…”

Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation

“…3D surface imaging of the breast has the potential to aid in treatment planning, surgical outcome prediction and objective aesthetic outcome evaluation (Chae, Rozen, Spychal, Hunter-Smith, 2016, O’Connell, Stevens, Harris, Rusby, 2015, Cardoso, Oliveira, Cardoso, 2014). Computational tools start to emerge that incorporate 3D breast surface data to let clinicians appreciate realistic 3D visualisations of the breasts’ morphology on the click of a button, perform shape-related analysis and classification as well as biomechanical simulation of probable surgical outcomes overall showing their utility to replace and extend former crude time-consuming and subjective techniques (Eiben, Lacher, Vavourakis, Hipwell, Stoyanov, Williams, Sabczynski, Bülow, Kutra, Meetz, et al., 2016, Oliveira, Cardoso, Magalhães, Cardoso, 2014). Unfortunately, a widespread clinical use is elusive due to the high cost and infrastructure requirements of 3D scanner equipment (Tzou et al., 2014).…”

“…This is an open access article under the CC BY license. ( http://creativecommons.org/licenses/by/4.0/ ) istic 3D visualisations of the breasts' morphology on the click of a button, perform shape-related analysis and classification as well as biomechanical simulation of probable surgical outcomes overall showing their utility to replace and extend former crude timeconsuming and subjective techniques ( Eiben et al, 2016;Oliveira et al, 2014 ). Unfortunately, a widespread clinical use is elusive due to the high cost and infrastructure requirements of 3D scanner equipment ( Tzou et al, 2014 ).…”