scholarly journals Quantitative and individualized assessment of the learning curve in preoperative planning of the acetabular cup size in primary total hip arthroplasty

2021 ◽  
Author(s):  
W. Waldstein ◽  
P. A. Bouché ◽  
C. Pottmann ◽  
M. Faschingbauer ◽  
P. R. Aldinger ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Learning Curve ◽  
Hip Arthroplasty ◽  
Preoperative Planning ◽  
Cusum Test ◽  
Acetabular Cup ◽  
Total Hip ◽  
Cumulative Summation ◽  
Preoperative Plan ◽  
Primary Total Hip Arthroplasty

Abstract Introduction The aim of the present study was to investigate the learning curves of 2 trainees with different experience levels to reach proficiency in preoperative planning of the cup size based on learning curve cumulative summation (LC-CUSUM) statistics and a cumulative summation (CUSUM) test. Materials and methods One-hundred-twenty patients who had undergone primary total hip arthroplasty with a cementless cup were selected. Preoperative planning was performed by an experienced orthopedic surgeon. Trainee 1 (student) and trainee 2 (resident) planned the cup size. The trainees were blinded to the preoperative plan and the definitive cup size. Only after a cup size was chosen, the trainees were unblinded to the preoperative plan of the surgeon. LC-CUSUM was applied to both trainees to determine when proficiency in determining the appropriate cup size was reached. A CUSUM test was applied to ensure retention of proficiency. Results With reference to the preoperative plan of the surgeon, LC-CUSUM indicated proficiency after 94 planning attempts for trainee 1 and proficiency after 66 attempts for trainee 2, respectively. Trainee 1 and 2 maintained proficiency thereafter. With reference to the definitive cup size, LC-CUSUM did not signal competency within the first 120 planning attempts for trainee 1. Trainee 2 was declared competent after 103 attempts and retained competency thereafter. Conclusions LC-CUSUM/CUSUM allow for an individualized, quantitative and continuous assessment of planning quality. Based on LC-CUSUM statistics, the two trainees of this study gain proficiency in planning of the acetabular cup size after 50–100 attempts when an immediate feedback is provided. Previous experience positively influences the performance. The study serves as basis for the medical education of students and residents in joint replacement procedures.

Learning Curve of Acetabular Cup Positioning in Total Hip Arthroplasty Using a Cumulative Summation Test for Learning Curve (LC-CUSUM)

2014 ◽  
Vol 29 (3) ◽  
pp. 586-589 ◽  
Author(s):  
Young-Kyun Lee ◽  
David J. Biau ◽  
Byung-Ho Yoon ◽  
Tae-Young Kim ◽  
Yong-Chan Ha ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Learning Curve ◽  
Hip Arthroplasty ◽  
Summation Test ◽  
Acetabular Cup ◽  
Total Hip ◽  
Cumulative Summation ◽  
Cup Positioning

Preoperative Planning for Primary Total Hip Arthroplasty

2005 ◽  
Vol 13 (7) ◽  
pp. 455-462 ◽  
Author(s):  
Alejandro González Della Valle ◽  
Douglas E. Padgett ◽  
Eduardo A. Salvati
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Preoperative Planning ◽  
Total Hip ◽  
Primary Total Hip Arthroplasty

scholarly journals Value of preoperative three-dimensional planning software (AI-HIP) in primary total hip arthroplasty: a retrospective study

2021 ◽  
Vol 49 (11) ◽  
pp. 030006052110588
Author(s):  
Xuzhuang Ding ◽  
Bingshi Zhang ◽  
Wenao Li ◽  
Jia Huo ◽  
Sikai Liu ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Preoperative Planning ◽  
Intraclass Correlation ◽  
Three Dimensional ◽  
Femoral Stem ◽  
Stem Size ◽  
Total Hip ◽  
Primary Total Hip Arthroplasty

Objective We performed a retrospective study to compare the accuracy of preoperative planning using three-dimensional AI-HIP software and traditional two-dimensional manual templating to predict the size and position of prostheses. The purpose of this study was to evaluate the accuracy of AI-HIP in preoperative planning for primary total hip arthroplasty. Methods In total, 316 hips treated from April 2019 to June 2020 were retrospectively reviewed. A typical preoperative planning process for patients was implemented to compare the accuracy of the two preoperative planning methods with respect to prosthetic size and position. Intraclass correlation coefficients (ICCs) were used to evaluate the homogeneity between the actual prosthetic size and position and the preoperative planning method. Results When AI-HIP software and manual templating were used for preoperative planning, the stem agreement was 87.7% and 58.9%, respectively, and the cup agreement was 94.0% and 65.2%, respectively. The results showed that when AI-HIP software was used, an extremely high level of consistency (ICC > 0.95) was achieved for the femoral stem size, cup size, and femoral osteotomy level (ICC = 0.972, 0.962, and 0.961, respectively). Conclusion AI-HIP software showed excellent reliability for predicting the component size and implant position in primary total hip arthroplasty.

scholarly journals Value of 3D Preoperative Planning for Primary Total Hip Arthroplasty Based on Artificial Intelligence Technology

2020 ◽  
Author(s):  
Jiabang Huo ◽  
Guangxin Huang ◽  
Dong Han ◽  
Xinjie Wang ◽  
Yufan Bu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Acetabular Dysplasia ◽  
Preoperative Planning ◽  
Femoral Stem ◽  
Acetabular Cup ◽  
Component Size ◽  
Total Hip ◽  
Digital Template

Abstract Background: Accurate preoperative planning is an important step for accurate reconstruction in total hip arthroplasty (THA). Presently, preoperative planning is completed using either a two-dimensional (2D) template or three-dimensional (3D) mimics software. With the development of artificial intelligence (AI) technology, AI HIP, a planning software based on AI technology can quickly and automatically identify acetabular and femur morphology, and automatically match the optimal prosthesis size. However, the accuracy and feasibility of its clinical application still needs to be further verified. The purposes of this study were to investigate the accuracy and time efficiency of AI HIP in preoperative planning for primary THA, compared with 3D mimics software and 2D digital template; and further analyze the factors that influence the accuracy of AI HIP.Methods: A prospective study was conducted on 53 consecutive patients (59 hips) undergoing primary THA with cementless prostheses in our department. All preoperative planning was completed using AI HIP as well as 3D mimics and 2D digital template. The predicted component size and the actual implantation results were compared to determine the accuracy. The templating time was compared to determine the efficiency. Furthermore, the potential factors influencing the accuracy of AI HIP were analyzed including sex, body mass index (BMI), and hip dysplasia.Results: The accuracy in predicting the acetabular cup and femoral stem was 74.58% and 71.19%, respectively, for AI HIP; 71.19% (P = 0.743) and 76.27% (P = 0.468), respectively, for 3D mimics; 40.68% (P < 0.001) and 49.15% (P = 0.021), respectively, for 2D digital templating. The templating time using AI HIP was 3.91±0.64 min, which was equivalent to 2D digital templates (2.96±0.48 min, P < 0.001), but shorter than 3D mimics (32.07±2.41 min, P < 0.001). Acetabular dysplasia(P = 0.021), rather than sex and BMI, was an influential factor in the accuracy of AI HIP templating. Compared to patients with developmental dysplasia of the hip (DDH), the accuracy of acetabular cup in the non-DDH group was better (P = 0.021), but the difference in the accuracy of the femoral stem between the two groups was statistically insignificant (P = 0.062).Conclusion: AI HIP showed excellent reliability for component size in THA. Acetabular dysplasia may affect the accuracy of AI HIP templating.

scholarly journals Acetabular cup position and risk of dislocation in primary total hip arthroplasty

2016 ◽  
Vol 88 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Kurt G Seagrave ◽  
Anders Troelsen ◽  
Henrik Malchau ◽  
Henrik Husted ◽  
Kirill Gromov
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Acetabular Cup ◽  
Total Hip ◽  
Cup Position ◽  
Acetabular Cup Position ◽  
Primary Total Hip Arthroplasty

scholarly journals Value of 3D Preoperative Planning for Primary Total Hip Arthroplasty Based on Artificial Intelligence Technology

2021 ◽  
Author(s):  
Jiabang Huo ◽  
Guangxin Huang ◽  
Dong Han ◽  
Xinjie Wang ◽  
Yufan Bu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Acetabular Dysplasia ◽  
Preoperative Planning ◽  
Femoral Stem ◽  
Acetabular Cup ◽  
Component Size ◽  
Total Hip ◽  
Digital Template

Abstract Background: Accurate preoperative planning is an important step for accurate reconstruction in total hip arthroplasty (THA). Presently, preoperative planning is completed using either a two-dimensional (2D) template or three-dimensional (3D) mimics software. With the development of artificial intelligence (AI) technology, AI HIP, a planning software based on AI technology can quickly and automatically identify acetabular and femur morphology, and automatically match the optimal prosthesis size. However, the accuracy and feasibility of its clinical application still needs to be further verified. The purposes of this study were to investigate the accuracy and time efficiency of AI HIP in preoperative planning for primary THA, compared with 3D mimics software and 2D digital template; and further analyze the factors that influence the accuracy of AI HIP.Methods: A prospective study was conducted on 53 consecutive patients (59 hips) undergoing primary THA with cementless prostheses in our department. All preoperative planning was completed using AI HIP as well as 3D mimics and 2D digital template. The predicted component size and the actual implantation results were compared to determine the accuracy. The templating time was compared to determine the efficiency. Furthermore, the potential factors influencing the accuracy of AI HIP were analyzed including sex, body mass index (BMI), and hip dysplasia.Results: The accuracy of predicting the size of acetabular cup and femoral stem was 74.58% and 71.19%, respectively, for AI HIP; 71.19% (P = 0.743) and 76.27% (P = 0.468), respectively, for 3D mimics; 40.68% (P < 0.001) and 49.15% (P = 0.021), respectively, for 2D digital templating. The templating time using AI HIP was 3.91±0.64 min, which was equivalent to 2D digital templates (2.96±0.48 min, P < 0.001), but shorter than 3D mimics (32.07±2.41 min, P < 0.001). Acetabular dysplasia(P = 0.021), rather than sex and BMI, was an influential factor in the accuracy of AI HIP templating. Compared to patients with developmental dysplasia of the hip (DDH), the accuracy of acetabular cup in the non-DDH group was better (P = 0.021), but the difference in the accuracy of the femoral stem between the two groups was statistically insignificant (P = 0.062).Conclusion: AI HIP showed excellent reliability for component size in THA. Acetabular dysplasia may affect the accuracy of AI HIP templating.

scholarly journals Safety and Efficacy of Hemispherical with Flattened Pole Dual-Mobility Acetabular Cup in Primary Hip Arthroplasty: The SYMCOR-1 study

2020 ◽  
Author(s):  
Nicolas Bonin ◽  
Gilles Estour ◽  
Jean-Emmanuel Gedouin ◽  
Olivier Guyen ◽  
Frederic Christopher Daoud
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Cobalt Chromium ◽  
Acetabular Cup ◽  
Short Term ◽  
Dual Mobility ◽  
Safety And Efficacy ◽  
Total Hip ◽  
Primary Total Hip Arthroplasty

Abstract Background: This study estimated the short-term clinical safety and efficacy of hemispherical with flattened pole cobalt-chromium metal-back with porous outer hydroxyapatite coating dual-mobility acetabular cup (HFPC-DM-HA) in primary total hip arthroplasty.Methods: Single-center retrospective observational cohort study of consecutive patients undergoing total hip arthroplasty with a HFPC-DM-HA 2 years prior to study start. Prospective 2-year follow-up with letter and phone questionnaires.Results: Sampling frame: 361 patients including 59 patients (16.3%) in the cohort. 6 patients (10%) lost to follow-up. Median age 77.5 years (range: 67 ; 92), 32% female, median BMI 25.2 kg.m-2 (18.4 to 56.8). Clinical indications: Primary THA in all patients, resulting from primary osteoarthritis in 80% of them. Median follow-up 3.0 years (2.7 to 4.1). Primary endpoint: 2-year implant survival rate: 97% [87, 99]. Prosthetic dislocation: 0%. Secondary endpoint: Modified HHS (pain & functional subscore) improved from baseline 39.7 [34.6, 44.7] to 75.8 [72.1, 79.6] at 1-year and to 86.7 [83.7, 89.7] at 2-year follow-up (p<0.0001).Conclusions: The authors deemed the short-term outcomes of this acetabular cup in primary total hip arthroplasty to be satisfactory.Study registration: clinicaltrials.gov NCT04209374.

Cup Positioning in Primary Total Hip Arthroplasty Using an Imageless Navigation Device: Is There a Learning Curve?

Orthopedics ◽  
2009 ◽  
Vol 32 (10/SUPPLEMENT) ◽  
pp. 14-17 ◽  
Author(s):  
Fritz Thorey ◽  
Phillip Klages ◽  
Matthias Lerch ◽  
Thilo Flörkemeier ◽  
Henning Windhagen ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Learning Curve ◽  
Hip Arthroplasty ◽  
Total Hip ◽  
Imageless Navigation ◽  
Cup Positioning ◽  
Primary Total Hip Arthroplasty

scholarly journals Value of 3D preoperative planning for primary total hip arthroplasty based on artificial intelligence technology

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jiabang Huo ◽  
Guangxin Huang ◽  
Dong Han ◽  
Xinjie Wang ◽  
Yufan Bu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Acetabular Dysplasia ◽  
Preoperative Planning ◽  
Femoral Stem ◽  
Acetabular Cup ◽  
Component Size ◽  
Total Hip ◽  
Digital Template

Abstract Background Accurate preoperative planning is an important step for accurate reconstruction in total hip arthroplasty (THA). Presently, preoperative planning is completed using either a two-dimensional (2D) template or three-dimensional (3D) mimics software. With the development of artificial intelligence (AI) technology, AI HIP, a planning software based on AI technology, can quickly and automatically identify acetabular and femur morphology, and automatically match the optimal prosthesis size. However, the accuracy and feasibility of its clinical application still needs to be further verified. The purposes of this study were to investigate the accuracy and time efficiency of AI HIP in preoperative planning for primary THA, compared with 3D mimics software and 2D digital template, and further analyze the factors that influence the accuracy of AI HIP. Methods A prospective study was conducted on 53 consecutive patients (59 hips) undergoing primary THA with cementless prostheses in our department. All preoperative planning was completed using AI HIP as well as 3D mimics and 2D digital template. The predicted component size and the actual implantation results were compared to determine the accuracy. The templating time was compared to determine the efficiency. Furthermore, the potential factors influencing the accuracy of AI HIP were analyzed including sex, body mass index (BMI), and hip dysplasia. Results The accuracy of predicting the size of acetabular cup and femoral stem was 74.58% and 71.19%, respectively, for AI HIP; 71.19% (P = 0.743) and 76.27% (P = 0.468), respectively, for 3D mimics; and 40.68% (P < 0.001) and 49.15% (P = 0.021), respectively, for 2D digital templating. The templating time using AI HIP was 3.91 ± 0.64 min, which was equivalent to 2D digital templates (2.96 ± 0.48 min, P < 0.001), but shorter than 3D mimics (32.07 ± 2.41 min, P < 0.001). Acetabular dysplasia (P = 0.021), rather than sex and BMI, was an influential factor in the accuracy of AI HIP templating. Compared to patients with developmental dysplasia of the hip (DDH), the accuracy of acetabular cup in the non-DDH group was better (P = 0.021), but the difference in the accuracy of the femoral stem between the two groups was statistically insignificant (P = 0.062). Conclusion AI HIP showed excellent reliability for component size in THA. Acetabular dysplasia may affect the accuracy of AI HIP templating.

scholarly journals The Difference of Acetabular Cup Orientation Between Two Surgical Sides After Primary Total Hip Arthroplasty by Right-handed Surgeons

2021 ◽  
Author(s):  
Ao Xiong ◽  
su liu ◽  
Guoqing Li ◽  
Jian Weng ◽  
Deli Wang ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Safe Zone ◽  
Dominant Hand ◽  
Acetabular Cup ◽  
Total Hip ◽  
Left And Right ◽  
The Mean ◽  
The Right ◽  
Primary Total Hip Arthroplasty

Abstract Background: We performed the retrospective cohort study to compare the acetabular cup orientation, including anteversion angle (AA) and inclination angle (IA), of dominant hand side and non-dominant hand side after primary total hip arthroplasty (THA) by right-handed orthopedic surgeons. Methods: Between January 2018 and December 2018, 290 patients who aged below 60 years and underwent primary THA were retrospective screened. Patients who had hemiarthroplasty, previous hip surgery, ankylosing spondylitis, developmental dysplasia of hip (DDH, Crowe type-Ⅲ and type-Ⅳ), severe comorbidity, missing information, inferior quality radiographs were excluded. According to the surgery side, all patients were divided into left group and right group. Postoperative plain radiographs were analyzed to compare the AA and IA between left and right side. Univariate and stepwise multivariable linear regression to control included confounding factors. Stratified analysis was performed to identify whether the operation approach can affect the result, including anterolateral (ALA) and posterolateral approach (PLA). Results: The mean AA was 17.7° (range 6.0° to 30.0°) and 21.0° (range 9.5° to 35.0°) for the left and right side respectively. The mean difference was 3.28° (95% CI: 1.92 – 4.64; P<0.001). The mean IA was 41.1° (range 24.0° to 59.0°) and 40.1° (range 20.5° to 56.0°) for the left and right side respectively (P=0.314). 113 patients' AA within the “safe zone” in the left (93.4 %), while the right was 93 patients (82.3 %) (P=0.009). 95 patients' IA within the “safe zone” in the left (78.5 %), while the right was 97 patients (85.8 %) (P=0.144). The IA of ALA group was smaller than PLA group in both sides. The mean difference was 3.98° (95% CI: 1.22 - 6.74; P=0.005). Conclusions: We concluded that AA in left side may be more accurate than right side after primary THA by right-handed surgeons. The IA was no difference between the two sides, while it was smaller in ALA than in PLA. The results are still needed to be verified in future.

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