Advanced 3D imaging and CT-based navigation have emerged as valuable tools to use in total knee arthroplasty (TKA), for both preoperative planning and the intraoperative execution of different philosophies of alignment. Preoperative planning using CT-based 3D imaging enables more accurate prediction of the size of components, enhancing surgical workflow and optimizing the precision of the positioning of components. Surgeons can assess alignment, osteophytes, and arthritic changes better. These scans provide improved insights into the patellofemoral joint and facilitate tibial sizing and the evaluation of implant-bone contact area in cementless TKA. Preoperative CT imaging is also required for the development of patient-specific instrumentation cutting guides, aiming to reduce intraoperative blood loss and improve the surgical technique in complex cases. Intraoperative CT-based navigation and haptic guidance facilitates precise execution of the preoperative plan, aiming for optimal positioning of the components and accurate alignment, as determined by the surgeon’s philosophy. It also helps reduce iatrogenic injury to the periarticular soft-tissue structures with subsequent reduction in the local and systemic inflammatory response, enhancing early outcomes. Despite the increased costs and radiation exposure associated with CT-based navigation, these many benefits have facilitated the adoption of imaged based robotic surgery into routine practice. Further research on ultra-low-dose CT scans and exploration of the possible translation of the use of 3D imaging into improved clinical outcomes are required to justify its broader implementation. Cite this article:
In recent years, machine learning (ML) and artificial neural networks (ANNs), a particular subset of ML, have been adopted by various areas of healthcare. A number of diagnostic and prognostic algorithms have been designed and implemented across a range of orthopaedic sub-specialties to date, with many positive results. However, the methodology of many of these studies is flawed, and few compare the use of ML with the current approach in clinical practice. Spinal surgery has advanced rapidly over the past three decades, particularly in the areas of implant technology, advanced surgical techniques, biologics, and enhanced recovery protocols. It is therefore regarded an innovative field. Inevitably, spinal surgeons will wish to incorporate ML into their practice should models prove effective in diagnostic or prognostic terms. The purpose of this article is to review published studies that describe the application of neural networks to spinal surgery and which actively compare ANN models to contemporary clinical standards allowing evaluation of their efficacy, accuracy, and relatability. It also explores some of the limitations of the technology, which act to constrain the widespread adoption of neural networks for diagnostic and prognostic use in spinal care. Finally, it describes the necessary considerations should institutions wish to incorporate ANNs into their practices. In doing so, the aim of this review is to provide a practical approach for spinal surgeons to understand the relevant aspects of neural networks. Cite this article:
Evidence suggests that the alleviation of pain is enhancedby a strong patient-clinician relationship and attending to a patient’s social and mental health. There is a limited role for medication, opioids in particular. Orthopaedic surgeons can use comprehensive biopsychosocial strategies to help people recover and can work with colleagues who have the appropriate expertise in order to maximize pain alleviation with optimal opioid stewardship. Preparing patients for elective surgery and caring for them after unplanned injury or surgery can benefit from planned and practiced strategies based in communication science. Cite this article:
As residency training programmes around the globe
move towards competency-based medical education (CBME), there is
a need to review current teaching and assessment practices as they
relate to education in orthopaedic trauma. Assessment is the cornerstone
of CBME, as it not only helps to determine when a trainee is fit
to practice independently, but it also provides feedback on performance
and guides the development of competence. Although a standardised
core knowledge base for trauma care has been developed by the leading
national accreditation bodies and international agencies that teach
and perform research in orthopaedic trauma, educators have not yet established
optimal methods for assessing trainees’ performance in managing
orthopaedic trauma patients. This review describes the existing knowledge from the literature
on assessment in orthopaedic trauma and highlights initiatives that
have recently been undertaken towards CBME in the United Kingdom,
Canada and the United States. In order to support a CBME approach, programmes need to improve
the frequency and quality of assessments and improve on current
formative and summative feedback techniques in order to enhance
resident education in orthopaedic trauma. Cite this article:
The World Health Organization (WHO) launched
the first Global Patient Safety Challenge in 2005 and introduced
the ‘5 moments of hand hygiene’ in 2009 in an attempt to reduce
the burden of health care associated infections. Many NHS trusts
in England adopted this model of hand hygiene, which prompts health
care workers to clean their hands at five distinct stages of caring
for the patient. Our review analyses the scientific foundation for
the five moments of hand hygiene and explores the evidence, as referenced
by WHO, to support these recommendations. We found no strong scientific
support for this regime of hand hygiene as a means of reducing health
care associated infections. Consensus-based guidelines based on
weak scientific foundations should be assessed carefully to prevent
shifting the clinical focus from more important issues and to direct
limited resources more effectively. We recommend caution in the universal adoption of the WHO ‘5
moments of hand hygiene’ by orthopaedic surgeons and other health
care workers and emphasise the need for evidence-based principles
when adopting hospital guidelines aimed at promoting excellence
in clinical practice.
