Continuous technical improvement in spinal surgical procedures, with the aim of enhancing patient outcomes, can be assisted by the deployment of advanced technologies including navigation, intraoperative CT imaging, and surgical robots. The latest generation of robotic surgical systems allows the simultaneous application of a range of digital features that provide the surgeon with an improved view of the surgical field, often through a narrow portal. There is emerging evidence that procedure-related complications and intraoperative blood loss can be reduced if the new technologies are used by appropriately trained surgeons. Acceptance of the role of surgical robots has increased in recent years among a number of surgical specialities including general surgery, neurosurgery, and orthopaedic surgeons performing major joint arthroplasty. However, ethical challenges have emerged with the rollout of these innovations, such as ensuring surgeon competence in the use of surgical robotics and avoiding financial conflicts of interest. Therefore, it is essential that trainees aspiring to become spinal surgeons as well as established spinal specialists should develop the necessary skills to use robotic technology safely and effectively and understand the ethical framework within which the technology is introduced. Traditional and more recently developed platforms exist to aid skill acquisition and surgical training which are described. The aim of this narrative review is to describe the role of surgical robotics in spinal surgery, describe measures of proficiency, and present the range of training platforms that institutions can use to ensure they employ confident spine surgeons adequately prepared for the era of robotic spinal surgery. Cite this article:
The aim of this study was to assess the current evidence relating
to the benefits of virtual reality (VR) simulation in orthopaedic
surgical training, and to identify areas of future research. A literature search using the MEDLINE, Embase, and Google Scholar
databases was performed. The results’ titles, abstracts, and references
were examined for relevance.Aims
Materials and Methods
Primary total knee arthroplasty (TKA) is a reliable
procedure with reproducible long-term results. Nevertheless, there
are conditions related to the type of patient or local conditions
of the knee that can make it a difficult procedure. The most common
scenarios that make it difficult are discussed in this review. These
include patients with many previous operations and incisions, and
those with severe coronal deformities, genu recurvatum, a stiff knee,
extra-articular deformities and those who have previously undergone
osteotomy around the knee and those with chronic dislocation of
the patella. Each condition is analysed according to the characteristics of
the patient, the pre-operative planning and the reported outcomes. When approaching the difficult primary TKA surgeons should use
a systematic approach, which begins with the review of the existing
literature for each specific clinical situation. Cite this article:
Previous standards for assessing the reliability
of a measurement tool have lacked consistency. We reviewed the most
current American Society for Testing and Materials and International
Organisation for Standardisation (ISO) recommendations, and propose
an algorithm for orthopaedic surgeons. When assessing a measurement
tool, conditions of the experimental set-up and clear formulae used
to compile the results should be strictly reported. According to
these recent guidelines, accuracy is a confusing word with an overly
broad meaning and should therefore be abandoned. Depending on the
experimental conditions, one should be referring to bias (when the study
protocol involves accepted reference values), and repeatability
(sr, r) or reproducibility (SR, R). In the absence of accepted reference
values, only repeatability (sr, r) or reproducibility (SR, R) should
be provided. Take home message: Assessing the reliability of a measurement
tool involves reporting bias, repeatability and/or reproducibility
depending on the defined conditions, instead of precision or accuracy. Cite this article:
