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The Bone & Joint Journal
Vol. 106-B, Issue 9 | Pages 892 - 897
1 Sep 2024
Mancino F Fontalis A Kayani B Magan A Plastow R Haddad FS

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: Bone Joint J 2024;106-B(9):892–897.


Bone & Joint Open
Vol. 3, Issue 3 | Pages 268 - 274
21 Mar 2022
Krishnan H Eldridge JD Clark D Metcalfe AJ Stevens JM Mandalia V

Recognized anatomic variations that lead to patella instability include patella alta and trochlea dysplasia. Lateralization of the extensor mechanism relative to the trochlea is often considered to be a contributing factor; however, controversy remains as to the degree this contributes to instability and how this should be measured. As the tibial tuberosity-trochlear groove (TT-TG) is one of most common imaging measurements to assess lateralization of the extensor mechanism, it is important to understand its strengths and weaknesses. Care needs to be taken while interpreting the TT-TG value as it is affected by many factors. Medializing tibial tubercle osteotomy is sometimes used to correct the TT-TG, but may not truly address the underlying anatomical problem. This review set out to determine whether the TT-TG distance sufficiently summarizes the pathoanatomy, and if this assists with planning of surgery in patellar instability.

Cite this article: Bone Jt Open 2022;3(3):268–274.


The Bone & Joint Journal
Vol. 103-B, Issue 9 | Pages 1442 - 1448
1 Sep 2021
McDonnell JM Evans SR McCarthy L Temperley H Waters C Ahern D Cunniffe G Morris S Synnott K Birch N Butler JS

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: Bone Joint J 2021;103-B(9):1442–1448


The Bone & Joint Journal
Vol. 103-B, Issue 5 | Pages 822 - 827
1 May 2021
Buzzatti L Keelson B Vanlauwe J Buls N De Mey J Vandemeulebroucke J Cattrysse E Scheerlinck T

Evaluating musculoskeletal conditions of the lower limb and understanding the pathophysiology of complex bone kinematics is challenging. Static images do not take into account the dynamic component of relative bone motion and muscle activation. Fluoroscopy and dynamic MRI have important limitations. Dynamic CT (4D-CT) is an emerging alternative that combines high spatial and temporal resolution, with an increased availability in clinical practice. 4D-CT allows simultaneous visualization of bone morphology and joint kinematics. This unique combination makes it an ideal tool to evaluate functional disorders of the musculoskeletal system. In the lower limb, 4D-CT has been used to diagnose femoroacetabular impingement, patellofemoral, ankle and subtalar joint instability, or reduced range of motion. 4D-CT has also been used to demonstrate the effect of surgery, mainly on patellar instability. 4D-CT will need further research and validation before it can be widely used in clinical practice. We believe, however, it is here to stay, and will become a reference in the diagnosis of lower limb conditions and the evaluation of treatment options. Cite this article: Bone Joint J 2021;103-B(5):822–827


The Bone & Joint Journal
Vol. 101-B, Issue 5 | Pages 512 - 521
1 May 2019
Carter TH Duckworth AD White TO

Abstract

The medial malleolus, once believed to be the primary stabilizer of the ankle, has been the topic of conflicting clinical and biomechanical data for many decades. Despite the relevant surgical anatomy being understood for almost 40 years, the optimal treatment of medial malleolar fractures remains unclear, whether the injury occurs in isolation or as part of an unstable bi- or trimalleolar fracture configuration. Traditional teaching recommends open reduction and fixation of medial malleolar fractures that are part of an unstable injury. However, there is recent evidence to suggest that nonoperative management of well-reduced fractures may result in equivalent outcomes, but without the morbidity associated with surgery. This review gives an update on the relevant anatomy and classification systems for medial malleolar fractures and an overview of the current literature regarding their management, including surgical approaches and the choice of implants.

Cite this article: Bone Joint J 2019;101-B:512–521.


The Bone & Joint Journal
Vol. 99-B, Issue 12 | Pages 1571 - 1576
1 Dec 2017
Jacofsky DJ

‘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: Bone Joint J 2017;99-B:1571–6.


The Bone & Joint Journal
Vol. 98-B, Issue 2 | Pages 166 - 172
1 Feb 2016
Langlois J Hamadouche M

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: Bone Joint J 2016;98-B2:166–72.


Bone & Joint Research
Vol. 3, Issue 4 | Pages 123 - 129
1 Apr 2014
Perry DC Griffin XL Parsons N Costa ML

The surgical community is plagued with a reputation for both failing to engage and to deliver on clinical research. This is in part due to the absence of a strong research culture, however it is also due to a multitude of barriers encountered in clinical research; particularly those involving surgical interventions. ‘Trauma’ amplifies these barriers, owing to the unplanned nature of care, unpredictable work patterns, the emergent nature of treatment and complexities in the consent process. This review discusses the barriers to clinical research in surgery, with a particular emphasis on trauma. It considers how barriers may be overcome, with the aim to facilitate future successful clinical research.

Cite this article: Bone Joint Res 2014;3:123–9.


The Journal of Bone & Joint Surgery British Volume
Vol. 94-B, Issue 4 | Pages 441 - 445
1 Apr 2012
Chou DTS Achan P Ramachandran M

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