Robotics accuracy in orthopaedics: is it enough for a well-working knee replacement?

Mancuso, Francesco; Pandit, Hemant

doi:10.21037/atm.2016.10.48

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…There has been a growing interest in the use of robotic-assisted knee arthroplasty (RAKA) procedures. 1 Much of this interest is due to the number of clinical, radiographic, and patient-specific advantages provided by robotic-assistive technology. [1][2][3] Multiple studies have demonstrated that computed tomography (CT)-based preoperative planning coupled with a haptically controlled robotic-assisted arm enables accurate and precise bone cuts for patients undergoing unicompartmental knee arthroplasty (UKA).…”

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confidence: 99%

“…1 Much of this interest is due to the number of clinical, radiographic, and patient-specific advantages provided by robotic-assistive technology. [1][2][3] Multiple studies have demonstrated that computed tomography (CT)-based preoperative planning coupled with a haptically controlled robotic-assisted arm enables accurate and precise bone cuts for patients undergoing unicompartmental knee arthroplasty (UKA). 2,3 In addition to accuracy and precision, cadaveric studies of RAKA have shown to preserve soft tissue integrity.…”

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confidence: 99%

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Comparison of Patient Demographics and Utilization Trends of Robotic-Assisted and Non-Robotic-Assisted Unicompartmental Knee Arthroplasty

et al. 2019

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Robotic-assisted unicompartmental knee arthroplasty (RAUKA) is an emerging area of interest. The purpose of this study was to compare (1) different patient demographic profiles; (2) annual primary and revision utilization rates; (3) risk factors for revision procedures; and (4) survivorship between RAUKA and manual UKA (MUKA). Using the PearlDiver database, patients who underwent RAUKA or MUKA between 2005 and 2014 within the Medicare database were identified, yielding a total of 35,061 patients (RAUKA = 13,617; manual = 21,444). Patient demographics (age, gender, comorbidities, Charlson-Comorbidity Index, and geographic region) were compared between cohorts. Annual primary and revision utilization rates as well as risk factors for revision procedures were also compared. Kaplan–Meier survivorship was also calculated. The Pearson χ2 test was used to test for significance in patient demographics, whereas the Welch t-test was used to compare the incidence of revisions as well as the revision burden (proportion of revisions to total sum of primary and revision procedures). Multivariate binomial logistic regression analysis was performed to compare risk factors for revision procedures. There were statistically significant differences in RAUKA versus MUKA patients with respect to age (p < 0.001), gender (p < 0.001), and region (p < 0.001). RAUKA procedures performed increased over 12-fold compared with manual, which increased only 4.5-fold. RAUKA procedures had significantly lower revision incidence (0.99 vs. 4.24%, p = 0.003) and revision burden (0.91 vs. 4.23%, p = 0.005) compared with manuals. For patients undergoing RAUKA, normal (19–24 kg/m2) and obese (30–39 kg/m2) body mass index (p < 0.05), congestive heart failure (p = 0.004), hypothyroidism (p < 0.001), opioid dependency (p = 0.002), and rheumatoid arthritis (p < 0.001) were risk factors for a revision procedure. Kaplan–Meier survival curve 3 years following the index procedure to all-cause revisions demonstrated that RAUKA patients maintained nearly 100% survivorship compared with manual patients who had 97.5% survivorship. The data demonstrate increased utilization of RAUKA in the United States. The current data indicated that RAUKA has significantly lower revision rates and improved survivorship compared with patients undergoing non-RAUKA within Medicare patients.

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Comparison of Patient Demographics and Utilization Trends of Robotic-Assisted and Non-Robotic-Assisted Unicompartmental Knee Arthroplasty

et al. 2019

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Robot-Assisted Percutaneous Endoscopic Lumbar Interbody Fusion

Chen

Yang

2022

Technical Advances in Minimally Invasive Spine Surgery

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Pyoderma Gangrenosum: An Update on Pathophysiology, Diagnosis and Treatment

et al. 2017

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Pyoderma gangrenosum (PG) is a rare inflammatory neutrophilic disorder with prototypical clinical presentations. Its pathophysiology is complex and not fully explained. Recent information regarding the genetic basis of PG and the role of auto-inflammation provides a better understanding of the disease and new therapeutic targets. PG equally affects patients of both sexes and of any age. Uncontrolled cutaneous neutrophilic inflammation is the cornerstone in a genetically predisposed individual. Multimodality management is often required to reduce inflammation, optimize wound healing, and treat underlying disease. A gold standard for the management of PG does not exist and high-level evidence is limited. Multiple factors must be taken into account when deciding on the optimum treatment for individual patients: location, number and size of lesion/ulceration(s), extracutaneous involvement, presence of associated disease, cost, and side effects of treatment, as well as patient comorbidities and preferences. Refractory and rapidly progressive cases require early initiation of systemic therapy. Newer targeted therapies represent a promising pathway for the management of PG, and the main focus of this review is the management and evidence supporting the role of new targeted therapies in PG.

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Robotics accuracy in orthopaedics: is it enough for a well-working knee replacement?

Cited by 4 publications

References 13 publications

Comparison of Patient Demographics and Utilization Trends of Robotic-Assisted and Non-Robotic-Assisted Unicompartmental Knee Arthroplasty

Comparison of Patient Demographics and Utilization Trends of Robotic-Assisted and Non-Robotic-Assisted Unicompartmental Knee Arthroplasty

Robot-Assisted Percutaneous Endoscopic Lumbar Interbody Fusion

Pyoderma Gangrenosum: An Update on Pathophysiology, Diagnosis and Treatment

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