Automated preoperative planning of femoral stem in total hip arthroplasty from 3D CT data: Atlas-based approach and comparative study

2012 ◽  
Vol 16 (2) ◽  
pp. 415-426 ◽  
Author(s):  
Itaru Otomaru ◽  
Masahiko Nakamoto ◽  
Yoshiyuki Kagiyama ◽  
Masaki Takao ◽  
Nobuhiko Sugano ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Comparative Study ◽  
Hip Arthroplasty ◽  
Preoperative Planning ◽  
Femoral Stem ◽  
3D Ct ◽  
Total Hip ◽  
Ct Data

scholarly journals Value of 3D Preoperative Planning for Primary Total Hip Arthroplasty Based on Biplanar Weightbearing Radiographs

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Y. Knafo ◽  
F. Houfani ◽  
B. Zaharia ◽  
F. Egrise ◽  
I. Clerc-Urmès ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Preoperative Planning ◽  
Femoral Stem ◽  
Leg Length ◽  
Femoral Offset ◽  
Postoperative Result ◽  
Total Hip ◽  
Planning Software ◽  
Navigated Surgery

Two-dimensional (2D) planning on standard radiographs for total hip arthroplasty may not be sufficiently accurate to predict implant sizing or restore leg length and femoral offset, whereas 3D planning avoids magnification and projection errors. Furthermore, weightbearing measures are not available with computed tomography (CT) and leg length and offset are rarely checked postoperatively using any imaging modality. Navigation can usually achieve a surgical plan precisely, but the choice of that plan remains key, which is best guided by preoperative planning. The study objectives were therefore to (1) evaluate the accuracy of stem/cup size prediction using dedicated 3D planning software based on biplanar radiographic imaging under weightbearing and (2) compare the preplanned leg length and femoral offset with the postoperative result. This single-centre, single-surgeon prospective study consisted of a cohort of 33 patients operated on over 24 months. The routine clinical workflow consisted of preoperative biplanar weightbearing imaging, 3D surgical planning, navigated surgery to execute the plan, and postoperative biplanar imaging to verify the radiological outcomes in 3D weightbearing. 3D planning was performed with the dedicated hipEOS® planning software to determine stem and cup size and position, plus 3D anatomical and functional parameters, in particular variations in leg length and femoral offset. Component size planning accuracy was 94% (31/33) within one size for the femoral stem and 100% (33/33) within one size for the acetabular cup. There were no significant differences between planned versus implanted femoral stem size or planned versus measured changes in leg length or offset. Cup size did differ significantly, tending towards implanting one size larger when there was a difference. Biplanar radiographs plus hipEOS planning software showed good reliability for predicting implant size, leg length, and femoral offset and postoperatively provided a check on the navigated surgery. Compared to previous studies, the predictive results were better than 2D planning on conventional radiography and equal to 3D planning on CT images, with lower radiation dose, and in the weightbearing position.

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.

3D CT-based automated preoperative planning system for total hip arthroplasty "AutoImPlan"

2004 ◽  
Vol 2004.14 (0) ◽  
pp. 302-305 ◽  
Author(s):  
Yoshiyuki KAGIYAMA ◽  
Masahiko NAKAMOTO ◽  
Masaki TAKAO ◽  
Yoshinobu SATO ◽  
Nobuhiko SUGANO ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Preoperative Planning ◽  
Planning System ◽  
3D Ct ◽  
Total Hip

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.

Femoral Stem Survivorship in Dorr Type A Femurs After Total Hip Arthroplasty Using a Cementless Tapered Wedge Stem: A Matched Comparative Study With Type B Femurs

2019 ◽  
Vol 34 (3) ◽  
pp. 527-533 ◽  
Author(s):  
Chan-Woo Park ◽  
Hyeon-Jun Eun ◽  
Sung-Hak Oh ◽  
Hyun-Jun Kim ◽  
Seung-Jae Lim ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Comparative Study ◽  
Hip Arthroplasty ◽  
Femoral Stem ◽  
Type A ◽  
Type B ◽  
Total Hip

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.

Stress-Strain Analysis of Hip Joint after Application of Total Hip Arthroplasty with Consideration of Wear

2012 ◽  
Vol 245 ◽  
pp. 80-84 ◽  
Author(s):  
Veronika Ebringerová ◽  
Petr Marcián ◽  
Jiří Valášek ◽  
Zdeněk Florian
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Great Influence ◽  
Femoral Stem ◽  
Strain Analysis ◽  
Wear Particles ◽  
Stress Strain ◽  
Subsequent Performance ◽  
Total Hip ◽  
Ct Data

The presented work deals with the creation of computational model of total hip arthroplasty and the subsequent performance of stress-strain analysis. The models of geometry of the pelvis and the femur were created on base of CT data. In To this model were fitted both of components, i.e. femoral stem and acetabular liner. On this system was subsequently modeled the real load conditions. Just real loading of the endoprosthesis leads to wear and it has great influence on the deterioration of bone tissue. These properties were simulated under the acetabular component. The behavior of the whole system is assessed on base of stress-strain analysis. From comparison the obtained results with clinical study it is evident that the places, that are dangerous in terms of establishment wear particles, are identical. This whole issue is very topical today.

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