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Advances in Hip Arthroscopy
Published in K. Mohan Iyer, Hip Joint in Adults: Advances and Developments, 2018
Hip arthroscopy is a less invasive alternative to various hip interventions that would otherwise require a major open procedure, including surgical dislocation of the hip. In addition, advancement in imaging and arthroscopic techniques allows surgeons to address intra-articular derangements that were previously undiagnosed or untreated. In 1802 Dr Phillipp Bozzini and in 1931 Dr Michael Burman demonstrated the arthroscopic technique on cadaveric hip joints, and its first clinical application was in 1939 by Dr Kenji Takagi for infection (suppurative and tubercular arthritis). He published it in the Journal of Japanese Orthopedic Association in 1939. In the last decade arthroscopic techniques have been used to deal with various hip pathologies with increasing success.
A review of participant recruitment transparency for sound validation of hip surgery simulators: a novel umbrella approach
Published in Journal of Medical Engineering & Technology, 2021
Rantilini Samaratunga, Layla Johnson, Christos Gatzidis, Ian Swain, Thomas Wainwright, Robert Middleton
The first hip arthroscopy simulator validation observed was in 2012 by Pollard et al. [55] and this too was for a bench-top manikin. It was not until five years later that any further arthroscopy research was conducted. Due to their use of physical models, these studies likely suffered from the disadvantages of traditional training methods. This could explain why no more research was seen in this area until modern XR technologies became a more viable/cost-efficient option by around late 2016, demonstrated by the sudden spike in popularity of the Google search-term for “virtual reality” (bottom plot in Figure 2). It was also during this time that Vaughan et al.’s review of orthopaedic VR simulators highlighted the lack of development in hip and THR simulators [32].
Influence of limb positioning during image acquisition on femoral torsion measurements: implications for surgical planning
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023
Martina Guidetti, Floor M. Lambers, Michael Kohnen, Philip Malloy, Richard C. Mather, James W. Genuario, Shane J. Nho
Measures of femoral torsion play an important role in the management of clinical hip conditions, such as FAIS and hip instability (Kudrna 2005; Sankar et al. 2018; Scorcelletti et al. 2020; Wang et al. 2021). Excessive femoral ante-torsion is associated with conditions of hip instability, whereas excessive femoral retro-torsion is linked to conditions of FAIS (Westermann and Willey 2021; Arshad et al. 2021) (Figure 2). Lerch and colleagues found that 1 in 10 patients with FAIS also demonstrate severe abnormality in femoral torsion (Lerch et al. 2018). Patients with excessive femoral ante-torsion have significantly greater range of motion for internal rotation and smaller range of motion for external rotation, when compared to people with retro-torsion or normal femoral torsion values (Hartigan et al. 2017; Kraeutler et al. 2018; Sankar et al. 2018). Therefore, dynamic mechanical impingement could be reduced by femoral ante-torsion and femoral retro-torsion may exacerbate this dynamic mechanical impingement. Although arthroscopic surgery for FAIS addresses the local causes of bony impingement associated with cam and/or pincer pathomorphology, these arthroscopic surgical procedures do not address femoral torsion abnormality leading to persistent pain and symptoms. Some studies have shown that accounting for femoral retro-torsion abnormality during surgical planning improves clinical outcome scores following hip arthroscopy (Hartigan et al. 2017; Kraeutler et al. 2018; Sankar et al. 2018). For this reason, accurate femoral torsion measures are important to include in the diagnostic workup of FAIS. However, the image based evaluation of femoral torsion also demonstrates some ambiguity in the most accurate measurement technique, and is known to be influenced by patient positioning, therefore, is an area that warrants further research using more sophisticated three-dimensional (3D) imaging-based methods (Banerjee et al. 2014; Schmaranzer et al. 2020).