Is computerised 3D templating more accurate than 2D templating to predict size of components in primary total hip arthroplasty?

Schiffner, Erik; Latz, David; Jungbluth, Pascal; Grassmann, Jan-Peter; Tanner, Stephan M.; Karbowski, A.; Windolf, Joachim; Schneppendahl, Johannes

doi:10.1177/1120700018776311

Cited by 35 publications

(46 citation statements)

References 31 publications

(53 reference statements)

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“…The results showed that the complete accuracy rate of acetabular cup was 7.3%, that of one size was 41%, that of femoral stem was 34%, and that of one size was 76%. Shaarani et al [17] carried out preoperative planning for 100 patients with the same digital template. The results showed that the complete accuracy rate of the acetabular cup was 38%, one size was 80%, and the complete accuracy rate of the femoral stem was 36%.…”

Section: Discussionmentioning

confidence: 99%

“…The patient's standard pelvic anteroposterior X-ray was imported into the 2D digital template (Smart joint, Depuy Synthes), and the diameter of the marker ball was set to 38mm. The digital template prosthesis was superimposed on the AP pelvic radiograph, and the optimal size of the prosthesis was selected according to the matching situation between the: acetabular cup, the acetabulum, femoral stem, and femoral medullary cavity [17] (Fig. 7).…”

Section: D Group Preoperative Planningmentioning

confidence: 99%

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

Huo

Huang

Han

et al. 2020

Preprint

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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.

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Section: Discussionmentioning

confidence: 99%

Section: D Group Preoperative Planningmentioning

confidence: 99%

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

Huo

Huang

Han

et al. 2020

Preprint

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show abstract

“…The patient's standard pelvic anteroposterior X-ray was imported into the 2D digital template (Smart joint, Depuy Synthes), and the diameter of the marker ball was set to 38 mm. The digital template prosthesis was superimposed on the AP pelvic radiograph, and the optimal size of the prosthesis was selected according to the matching situation between the acetabular cup and the acetabulum, femoral stem, and femoral medullary cavity [21] (Fig. 7).…”

Section: D Group Preoperative Planningmentioning

confidence: 99%

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

et al. 2021

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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.

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“…Several new technologies, such as preoperative three-dimensional (3D) templating and intraoperative navigation, have been used to avoid inadequate stem selection and achieve better stem positioning. Schiffner et al reported that the accuracy of predicting the right stem size improved from 45.7% to 58.6% using 3D templating compared with 2D surgical planning 8 . Weber et al found similar accuracy in biomechanical hip reconstruction of the leg length and global and femoral offset in THA between intraoperative navigation and uoroscopy 9 .…”

Section: Introductionmentioning

confidence: 99%

Full-Quantitative Analysis of Cementless Stem Hammering Sound Changes During Total Hip Arthroplasty.

Xu¹,

Homma²,

Ishii³

et al. 2020

Preprint

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Full-quantitative characterization has not been performed to analyze changes in the hammering sound in cementless hip arthroplasty. We analyzed the frequency spectrum of the hammering sound during stem insertion for 20 cases of uncomplicated cementless total hip arthroplasty for osteoarthritis using a proximal-coated stem. The absolute sound pressure (Pa) and normalized sound pressure of each frequency bands in early and late stage of femoral stem insertion were determined by the Fast Fourier Transform analysis. The absolute sound pressures (Pa) of a majority of frequency bands was significantly higher in the late-stage stem insertion than in the early stage The 1.0–1.5-kHz frequency band showed a significant change in normalized sound pressure in all cases between the early and late stages of stem insertion (p=0.000). The femoral morphology and canal fill ratio were correlated with late stage normalized sound pressure in specific frequency bands. In the 5.0–5.5 kHz band, the Dorr A femoral morphology was significantly higher normalized sound pressure than those in the Dorr B (p=0.004). This study revealed the hammering sound frequency with full-quantitative value altered during cementless stem insertion. Frequency bands of 1.0–1.5 kHz, 5.0–5.5 kHz were the key bands for predicting stem fixation.

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Is computerised 3D templating more accurate than 2D templating to predict size of components in primary total hip arthroplasty?

Abstract: Our results support the superiority of 3D templating over 2D templating in predicting implant size.

Cited by 35 publications

References 31 publications

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

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

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

Full-Quantitative Analysis of Cementless Stem Hammering Sound Changes During Total Hip Arthroplasty.

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