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:
Upper limb amputations, ranging from transhumeral to partial hand, can be devastating for patients, their families, and society. Modern paradigm shifts have focused on reconstructive options after upper extremity limb loss, rather than considering the amputation an ablative procedure. Surgical advancements such as targeted muscle reinnervation and regenerative peripheral nerve interface, in combination with technological development of modern prosthetics, have expanded options for patients after amputation. In the near future, advances such as osseointegration, implantable myoelectric sensors, and implantable nerve cuffs may become more widely used and may expand the options for prosthetic integration, myoelectric signal detection, and restoration of sensation. This review summarizes the current advancements in surgical techniques and prosthetics for upper limb amputees. Cite this article:
The wrist is a complex joint involving many small bones and complicated kinematics. It has, therefore, been traditionally difficult to image and ascertain information about kinematics when making a diagnosis. Although MRI and fluoroscopy have been used, they both have limitations. Recently, there has been interest in the use of 4D-CT in imaging the wrist. This review examines the literature regarding the use of 4D-CT in imaging the wrist to assess kinematics and its ability to diagnose pathology. Some questions remain about the description of normal ranges, the most appropriate method of measuring intercarpal stability, the accuracy compared with established standards, and the place of 4D-CT in postoperative assessment. Cite this article:
‘Big data’ is a term for data sets that are so
large or complex that traditional data processing applications are
inadequate. Billions of dollars have been spent on attempts to build predictive
tools from large sets of poorly controlled healthcare metadata.
Companies often sell reports at a physician or facility level based
on various flawed data sources, and comparative websites of ‘publicly
reported data’ purport to educate the public. Physicians should
be aware of concerns and pitfalls seen in such data definitions,
data clarity, data relevance, data sources and data cleaning when
evaluating analytic reports from metadata in health care. 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:
Intravenous tranexamic acid (TXA) has been shown
to be effective in reducing blood loss and the need for transfusion
after joint replacement. Recently, there has been interest in applying
it topically before the closure of surgical wounds. This has the
advantages of ease of application, maximum concentration at the
site of bleeding, minimising its systemic absorption and, consequently,
concerns about possible side-effects. We conducted a systematic review and meta-analysis which included
14 randomised controlled trials (11 in knee replacement, two in
hip replacement and one in both) which investigated the effect of
topical TXA on blood loss and rates of transfusion. Topical TXA
significantly reduced the rate of blood transfusion (total knee
replacement: risk ratio (RR) 4.51; 95% confidence interval (CI):
3.02 to 6.72; p <
0.001 (nine trials, I2 = 0%); total
hip replacement: RR 2.56; 95% CI: 1.32 to 4.97, p = 0.004 (one trial)).
The rate of thromboembolic events with topical TXA were similar
to those found with a placebo. Indirect comparison of placebo-controlled
trials of topical and intravenous TXA indicates that topical administration
is superior to the intravenous route. In conclusion, topical TXA is an effective and safe method of
reducing the need for blood transfusion after total knee and hip
replacement. Further research is required to find its optimum dose
for topical use. Cite this article: