A Mechanical Model for the Failure of Reconstructive Breast Implant Surgery Due to Capsular Contracture
Capsular contracture is a pathological response to implant-based reconstructive breast surgery, where the ``capsule'' (tissue surrounding an implant) painfully thickens, contracts and deforms. It is known to affect breast-cancer survivors at higher rates than healthy women opting for cosmetic cosmetic breast augmentation with implants. We model the early stages of capsular contracture based on stress-dependent recruitment of contractile and mechanosensitive cells to the implant site. We derive a one-dimensional continuum spatial model for the spatio-temporal evolution of cells and collagen densities away from the implant surface. Various mechanistic assumptions are investigated for linear versus saturating mechanical cell responses and cell traction forces. Our results point to specific risk factors for capsular contracture, and indicate how physiological parameters, as well as initial states (such as inflammation after surgery) contribute to patient susceptibility.
Code (1)
Similar Papers 제목 키워드 기반
Enhanced Knee Kinematics: Leveraging Deep Learning and Morphing Algorithms for 3D Implant Modeling
Accurate reconstruction of implanted knee models is crucial in orthopedic surgery and biomedical engineering, enhancing preoperative planning, optimizing implant design, and improving surgical outcomes. Traditional metho…
3D ReconstructionAnatomySegmentationDetecting total hip replacement prosthesis design on preoperative radiographs using deep convolutional neural network
Identifying the design of a failed implant is a key step in preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographic images is time consuming and prone to …
Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer
Shoulder replacement surgery, also called total shoulder replacement, is a common and complex surgery in Orthopedics discipline. It involves replacing a dead shoulder joint with an artificial implant. In the market, ther…
ClassificationGeneral ClassificationDetecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
Plain radiography is widely used to detect mechanical loosening of total hip replacement (THR) implants. Currently, radiographs are assessed manually by medical professionals, which may be prone to poor inter and intra o…
Decision MakingDiagnosticSpecificityIs Machine Learning Able to Detect and Classify Failure in Piezoresistive Bone Cement Based on Electrical Signals?
At an estimated cost of $8 billion annually in the United States, revision surgeries to total joint replacements represent a substantial financial burden to the health care system. Fixation failures, such as implant loos…
BIG-bench Machine Learning