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1.
Eur J Orthop Surg Traumatol ; 34(1): 97-112, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37672150

ABSTRACT

PURPOSE: This systematic review and meta-analysis aimed to investigate the correlation between anthropometric measurements and graft size in anterior cruciate ligament (ACL) reconstruction. METHODS: A systematic search of Ovid MEDLINE, Embase, and Cochrane Library databases was conducted for observational studies published until March 2023 that reported the relationship between anthropometric data [height, weight, body mass index (BMI), age, gender, thigh length, and circumference] and ACL graft size. Correlation coefficients (COR) and their associated 95% confidence intervals were used as the primary effect size. This review was conducted in line with PRISMA guidelines. RESULTS: A total of 42 observational studies involving 7110 patients were included, with a mean age of 29.8 years. Statistically significant, moderately positive correlations were found between graft size and height (COR: 0.49; 95% CI: 0.41-0.57; p-value: < 0.001), weight (COR: 0.38; 95% CI: 0.31-0.44; p-value: < 0.001), thigh circumference (COR: 0.40; 95% CI: 0.19-0.58; p-value: < 0.001), and thigh length (COR: 0.35; 95% CI: 0.18-0.50; p-value: < 0.001). However, age and gender were insignificantly correlated with graft size (p-value: NS). A subanalysis based on graft type showed a significant positive correlation between height and graft diameter, which was more significant in the peroneus tendon than in hamstring grafts (COR: 0.76 vs. 0.45; p-value: 0.020). CONCLUSION: This study demonstrated a moderate positive correlation between anthropometric measurements (height, weight, thigh circumference, and length) and ACL graft size, along with a weak positive correlation with BMI. Age and gender showed no significant correlation. These findings support the predictability and selection of ACL graft size based on pre-operative patient anthropometric data. LEVEL OF EVIDENCE: Level of Evidence: IV. PROSPERO registration number: CRD42023416044.


Subject(s)
Anterior Cruciate Ligament Injuries , Anterior Cruciate Ligament Reconstruction , Humans , Adult , Anterior Cruciate Ligament/surgery , Body Mass Index , Tendons/surgery , Body Weight , Anterior Cruciate Ligament Injuries/surgery , Transplantation, Autologous
2.
Eur J Orthop Surg Traumatol ; 34(2): 747-756, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38010443

ABSTRACT

PURPOSE: This systematic review aimed to investigate the reliability of AI predictive models of intraoperative implant sizing in total knee arthroplasty (TKA). METHODS: Four databases were searched from inception till July 2023 for original studies that studied the reliability of AI prediction in TKA. The primary outcome was the accuracy ± 1 size. This review was conducted per PRISMA guidelines, and the risk of bias was assessed using the MINORS criteria. RESULTS: A total of four observational studies comprised of at least 34,547 patients were included in this review. A mean MINORS score of 11 out of 16 was assigned to the review. All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size. CONCLUSION: This study demonstrated the potential of AI as a valuable complement for planning TKA, exhibiting a satisfactory level of reliability in predicting TKA implant sizes. This predictive accuracy is comparable to that of the manual and digital templating techniques currently documented in the literature. However, future research is imperative to assess the impact of AI on patient care and cost-effectiveness. LEVEL OF EVIDENCE III: PROSPERO registration number: CRD42023446868.


Subject(s)
Arthroplasty, Replacement, Knee , Knee Prosthesis , Humans , Arthroplasty, Replacement, Knee/methods , Artificial Intelligence , Reproducibility of Results , Tibia/surgery , Knee Joint/surgery
3.
Int Orthop ; 47(12): 2927-2931, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37249627

ABSTRACT

PURPOSE: The purpose of this study is to analyse the impact of the FIFA World Cup Qatar 2022 on the Orthopaedic Surgery department at Hamad Medical Corporation and its response to the challenges posed by the world's largest sporting event. METHODS: A retrospective analysis was conducted on the epidemiology, crisis management plan, and training program adaptations at the Orthopaedic Surgery department during the World Cup. Descriptive analysis of the number and types of surgeries performed, patient demographics, and the disaster preparedness plan were performed. RESULTS: During the tournament period (November-December 2022), 706 patients (4.22% football fans) were operated on, with an average age of 44 ± 17 years. Most patients were males, 67%. Of the 706 patients, 60.33% were emergency cases, 38.24% were elective, 1.27% were limb-saving, and one life-saving procedure was performed, comparable to pre-tournament numbers. The patients were of 77 different nationalities, reflecting the diverse background of Qatar's population and the international fanbase of the tournament. CONCLUSIONS: This analysis provides valuable insights for future mega sporting events and highlights the importance of crisis management and training program adaptation for optimal patient care and resident training advancement. The findings demonstrate the crucial role of the Orthopaedic Surgery Department in responding to the challenges posed by large-scale events.


Subject(s)
Orthopedic Procedures , Soccer , Male , Humans , Adult , Middle Aged , Female , Qatar , Retrospective Studies , Soccer/injuries
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