Physician Burnout: Solutions for Individuals and Organizations.

Burnout in medicine has become a national epidemic, affecting greater than one third of physicians, and yet physicians, departments, and institutions remain ill equipped to address it. Burnout is a syndrome characterized by emotional exhaustion, depersonalization, and a reduced sense of accomplishment that occurs as a response to one's environment. We have a moral and ethical imperative to address physician burnout, as it has immense implications within healthcare. Solutions have historically focused on changing the behavior of the individual, but research has demonstrated that long-lasting change is brought about by intervening at the organizational level, which requires that leadership champion these efforts. Departmental and hospital leadership play a critical role in addressing the drivers of burnout. Here, we outline evidence-based strategies to combat physician burnout at both the individual and organizational levels and review what has been explored within the field of plastic surgery.

Designing patient-specific 3D printed craniofacial implants using a novel topology optimization method.

Large craniofacial defects require efficient bone replacements which should not only provide good aesthetics but also possess stable structural function. The proposed work uses a novel multiresolution topology optimization method to achieve the task. Using a compliance minimization objective, patient-specific bone replacement shapes can be designed for different clinical cases that ensure revival of efficient load transfer mechanisms in the mid-face. In this work, four clinical cases are introduced and their respective patient-specific designs are obtained using the proposed method. The optimized designs are then virtually inserted into the defect to visually inspect the viability of the design . Further, once the design is verified by the reconstructive surgeon, prototypes are fabricated using a 3D printer for validation. The robustness of the designs are mechanically tested by subjecting them to a physiological loading condition which mimics the masticatory activity. The full-field strain result through 3D image correlation and the finite element analysis implies that the solution can survive the maximum mastication of 120 lb. Also, the designs have the potential to restore the buttress system and provide the structural integrity. Using the topology optimization framework in designing the bone replacement shapes would deliver surgeons new alternatives for rather complicated mid-face reconstruction.

Cutaneous angiomyolipoma masquerading as a neurofibroma in a child with neurofibromatosis type 1: a case report.

Angiomyolipomas are benign tumors composed of blood vessels, smooth muscle, and adipose tissue that are frequently associated with tuberous sclerosis. Cutaneous angiomyolipomas are rare and typically present in men in the fifth or sixth decade of life. We present a case of a cutaneous angiomyolipoma masquerading as a neurofibroma in a 13-year-old boy with a history of neurofibromatosis type 1.

Experimental validation of 3D printed patient-specific implants using digital image correlation and finite element analysis.

With the dawn of 3D printing technology, patient-specific implant designs are set to have a paradigm shift. A topology optimization method in designing patient-specific craniofacial implants has been developed to ensure adequate load transfer mechanism and restore the form and function of the mid-face. Patient-specific finite element models are used to design these implants and to validate whether they are viable for physiological loading such as mastication. Validation of these topology optimized finite element models using mechanical testing is a critical step. Instead of inserting the implants into a cadaver or patient, we embed the implants into the computer-aided skull model of a patient and, fuse them together to 3D print the complete skull model with the implant. Masticatory forces are applied in the molar region to simulate chewing and measure the stress-strain trajectory. Until recently, strain gages have been used to measure strains for validation. Digital Image Correlation (DIC) method is a relatively new technique for full-field strain measurement which provides a continuous deformation field data. The main objective of this study is to validate the finite element model of patient-specific craniofacial implants against the strain data from the DIC obtained during the mastication simulation and show that the optimized shapes provide adequate load-transfer mechanism. Patient-specific models are obtained from CT scans. The principal maximum and minimum strains are compared. The computational and experimental approach to designing patient-specific implants proved to be a viable technique for mid-face craniofacial reconstruction.