Skip to main content

Official Journal of the Italian Society of Orthopaedics and Traumatology

Radiographic evaluation of robot-assisted versus manual total hip arthroplasty: a multicenter randomized controlled trial

Abstract

Background

The effectiveness of robot-assisted surgery remains contentious due to the lack of high-quality randomized controlled trials (RCTs) to elevate the level of evidence. We aimed to evaluate the postoperative radiographic outcomes of robot-assisted (RAS-THA) versus manual (M-THA) total hip arthroplasty.

Methods

This multicenter RCT was performed from March 1, 2021 to December 1, 2021. Patients were randomly assigned to routine M-THA or to RAS-THA that used the TRex-RS orthopedic joint surgical navigation system. The primary outcome was to compare the acetabular component orientation, femoral stem alignment, femoral canal fill ratio, and leg length discrepancy between RAS-THA and M-THA using postoperative radiography. Subgroup analyses of the two groups stratified by surgical approach, gender, and BMI were also conducted.

Results

Seventy-three participants were randomly allocated to the RAS-THA group, while seventy-two participants were assigned to the M-THA group. Compared to the M-THA group, the RAS-THA group exhibited less variability in the preoperative planning of the vertical center of rotation (VCOR; P < 0.001), demonstrated a significant advantage in femoral stem alignment (P = 0.004), and showed pronounced decreases in inequality and in the variability in leg length discrepancy (P < 0.001). There was no significant difference in the Lewinnek safe-zone ratio (P = 0.081) and the femoral canal fill ratio (P > 0.05) between the two groups. Further subgroup analysis also showed that the RAS-THA group had fewer horizontal center of rotation (HCOR) and leg length differences when stratified by surgical approach, gender, and overweight status.

Conclusion

This RCT found that, regardless of the surgical approach, gender, or body mass index, RAS-THA can effectively improve the postoperative VCOR and significantly reduce the variability of leg length difference. RAS-THA should be considered an effective method to enhance surgical precision by achieving less variability in challenging patients with leg length discrepancies.

Trial registration: ChiCTR2100044124.

Introduction

The escalating incidence of hip degenerative diseases has led to a surge in the demand for total hip arthroplasty (THA). In the United States alone, an estimated 3.7 million THAs are performed annually, with projections indicating a rise to between 572,000 and 635,000 primary THAs by 2030 [1, 2]. While THA has garnered substantial acclaim for its clinical efficacy [3], the success of the procedure is contingent upon the meticulous placement of hip components. Emerging technologies, such as robot-assisted THA (RAS-THA), have been introduced to augment the precision of these key surgical steps.

Initially conceived in the 1990s, RAS-THA has undergone significant advancements to enhance the accuracy and reproducibility of orthopedic surgeries [4, 5]. Over the past decade, the adoption of RAS-THA has seen a linear increase, offering potential advantages in relation to component positioning, limb length discrepancies, and reduced complications [6,7,8]. However, the comparative effectiveness of RAS-THA and manual THA (M-THA) remains a subject of ongoing debate [9]. While some studies advocate for the superiority of RAS-THA in specific metrics [6,7,8], conflicting evidence exists regarding its overall clinical benefits and cost-effectiveness [10, 11].

Given the prevailing reliance on small-scale retrospective cohort studies [8, 12,13,14,15], there is an exigent need for a robust, multicenter randomized controlled trial (RCT) to substantiate the evidence base for RAS-THA. To this end, we initiated an open-label, parallel-group, multicenter RCT across three institutions in China. The primary aim of this study is to evaluate the postoperative radiographic outcomes of RAS-THA in comparison to M-THA for treating diverse hip pathologies. Secondary objectives include the assessment of clinically significant differences stratified by surgical approach, gender, and body mass index (BMI) between the two groups.

Materials and methods

Study design and participants

This study was a prospective, multicenter, open-label, parallel, non-inferiority RCT conducted from March 1, 2021 to December 1, 2021. Participants were recruited from three institutions in China: the First Affiliated Hospital of USTC, the Affiliated Hospital of Qingdao University, and Weifang People's Hospital. Ethical approval was obtained from the institutional review boards of the participating hospitals, and all participants provided written informed consent. The trial was conducted in accordance with the International Conference on Harmonization Guidelines for Good Clinical Practice and the Declaration of Helsinki. The trial was registered with clinicaltrials.gov (ChiCTR2100044124) and adhered to the Consolidated Standards of Reporting Trials (CONSORT) guidelines. Eligible subjects were individuals aged 18–75 years who presented with end-stage hip disease requiring THA and were willing to adhere to trial protocols. Exclusion criteria are detailed in eTable 1 and eTable 2 in the supplementary information.

Randomization and masking

Participants were informed about the trial’s standardized procedures either orally or in writing. The stratified blocked randomization method was adopted in the trial. A researcher who was blinded to the study groups used statistical software to generate a random list of assignments. This was done by formulating random seeds, determining block sizes, and stratifying the assignments by center. The patients were randomly assigned in a 1:1 ratio to receive either THA assisted with the TRex-RS (version HIP 1.0) orthopedic joint surgical navigation system (Longwell Company, Shanghai, China) (intervention group; RAS-THA) or freehand THA performed by orthopedic surgeons (control group; M-THA). The clinicians responsible for conducting the subsequent evaluations were blinded to the group allocations.

Intervention

Patients assigned to the control group underwent routine THA, with the surgical technique following the technical manual provided by the manufacturer of the hip joint prosthesis. The intervention group underwent RAS-THA using TRex-RS, a semi-active surgical robot that generates a three-dimensional (3D) model from preoperative computed tomography (CT) to assist the surgeon in selecting the most appropriate prosthetic model and size and improve implant placement. All procedures used a cementless prosthesis, and surgery was performed under general anesthesia unless contraindicated. The target inclination and anteversion of the acetabular component were 40° and 15°, respectively. The components were positioned with the same target in the two groups. The procedures were performed by senior hip surgeons at each center, each of whom performed more than 100 THAs annually. The choice of operation approach depended on the surgeon’s preference and mainly included a direct anterior approach, lateral approach, and posterior approach. The workflow of RAS-THA is reported in the eMethods in the supplementary information.

Postoperative rehabilitation management

All patients followed the same standardized rehabilitation program at a particular time postoperatively. Both groups were treated with pain relief, thrombosis prevention, swelling reduction, and prophylactic antibiotics after the operation. All clinical data were stored in electronic medical records throughout the study period.

Outcome measures

The primary outcomes included four domains: acetabular component orientation, femoral stem alignment, femoral canal fill ratio, and leg length discrepancy. Details of radiographic parameter measurements are presented in the eMethods in the supplementary information.

Sample size

According to literature reports and clinical experience [8], the implantation success rate in the control group is 96.1%. We assume that the implantation success rate of the test group is not inferior to that of the control group, and the non-inferiority margin was set as −10%. The number of test subjects was at least 118 cases (59 cases in the test group and 59 cases in the control group). Based on a one-sided type I error of 2.5% and a dropout rate of 20% and to meet the needs of the block random design, the number of subjects should be at least 148 to achieve a test efficiency power of 80%. Considering the influence of center differences, in order to ensure the representativeness of the subjects in each clinical trial institution, in principle, the number of subjects in each clinical trial institution should be 20–60% of the overall sample size.

Statistical analysis

Categorical variables were reported as the frequency and percentage, while continuous data were reported as the mean and standard deviation (SD). Group differences between RAS-THA and M-THA were compared using independent t tests for continuous variables, and categorical variables were analyzed using χ2 or Fisher's exact tests as appropriate. Prespecified subgroup analyses included those focusing on the surgical approach, the patient's body mass index (obesity), and the patient’s sex. All the statistical analyses were performed at the two-sided 5% significance level and conducted using SPSS software version 23 (SPSS Inc., Chicago, IL, USA).

Results

Participant characteristics

Participant recruitment took place between March 2021 and December 2021 at the orthopedic centers of three hospitals. A total of 145 participants with a mean age of 56.6 ± 9.9 years who met the inclusion criteria were enrolled (Fig. 1). Of these, 79 were male and 66 were female. Among the 145 eligible patients, 73 were randomly allocated to the RAS-THA group, while 72 participants were assigned to the M-THA group through randomization. Baseline demographic and clinical characteristics were well balanced between the treatment groups (Table 1). The primary hip-related pathology among the included patients was femoral head necrosis, followed by developmental dysplasia of the hip (DDH).

Fig. 1
figure 1

CONSORT flowchart of participants through the randomized controlled trial

Table 1 Demographics and baseline characteristics

Primary outcomes

Acetabular component orientation

In the RAS-THA group, the horizontal center of rotation (HCOR) and vertical center of rotation (VCOR) from the preoperative predetermined COR were − 0.04 ± 1.30 and 0.24 ± 1.36 mm, respectively. In the M-THA group, the corresponding values were − 0.14 ± 6.13 and 7.10 ± 13.06 (Table 2). The two groups only showed significant differences in VCOR (P < 0.001). The inclination and anteversion of the implanted cup were not significantly different between the RAS-THA and M-THA groups (P = 0.298, P = 0.071). In addition, among the 73 RAS-THA patients, 72 (97.3%) had the cup located in the Lewinnek safe zone, while 65 patients in the M-THA group had the cup located in the Lewinnek safe zone, with no statistical difference between the two groups (P = 0.081) (Fig. 2).

Table 2 Comparison of the postoperative radiographic results between robot-assisted THA and manual THA
Fig. 2
figure 2

Distribution of acetabular component positions for the robot-assisted THA group (a) and the manual THA group (b). The region within the black box area (between 30° and 50° for inclination and between 5° and 25° for anteversion) represents the Lewinnek safe zone

Femoral stem alignment

By measuring the angle between the long axis of the femoral stem and the femoral axis on immediate postoperative anteroposterior X-rays, it was found that the angle between the femoral and prosthetic axes was significantly larger in the M-THA group compared to the RAS-THA group (1.8° ± 0.6° vs. 2.2° ± 1.1°, P = 0.004).

Femoral canal fill ratio

The femoral canal fill ratio in the coronal and sagittal planes was calculated at the selected four femoral osteotomy sites to evaluate the effectiveness of proximal and distal fixation of the femoral stem prosthesis. The results showed that there was no statistically significant difference in the femoral canal fill ratio between the RAS-THA and M-THA groups at each site, whether in the coronal or the sagittal plane (Table 2).

Leg length discrepancy

Leg length discrepancies were assessed through radiographic measurements. The results revealed a leg length discrepancy of 2.9 ± 1.5 mm in the RAS-THA group, whereas it was 5.8 ± 6.3 mm in the M-THA group. The RAS-THA group demonstrated a significant advantage due to its smaller postoperative leg length discrepancy compared to M-THA (P < 0.001). When the difference is not greater than 5 mm, the legs are considered to be equal in length, and the proportion of equal leg lengths after RAS-THA is significantly higher than that of M-THA (98.6% vs. 69.4%, P < 0.001).

Sensitivity analysis

The present study underwent a subgroup exploration in terms of gender, overweight status (BMI ≥ 24), and surgical approach. When subjects were stratified by gender, among male participants, VCOR (P < 0.001), anteversion (P = 0.047), femoral stem alignment (P = 0.049), and leg length discrepancy (P = 0.010) were all significantly better in the RAS-THA group than in the M-THA group. Among female participants, however, the RAS-THA group showed significant differences from the M-THA group in terms of HCOR (P = 0.031) and VCOR (P = 0.034), inclination (P = 0.009), femoral stem alignment (P = 0.039), and leg length discrepancy (P = 0.011) (eTable 3 in the supplementary information). The results of the subgroup analysis also showed that in the overweight population, the RAS-THA group revealed a smaller VCOR (P = 0.007) and superior leg length discrepancy (P = 0.027) compared to the M-THA group. In the non-overweight population, RAS-THA showed a smaller VCOR (P = 0.002), femoral stem alignment (P = 0.026), and leg length discrepancy (P = 0.004) (eTable 4 in the supplementary information). In the study, we mainly compared the radiographic performances of the direct anterior approach and the posterior or lateral approaches in RAS-THA and M-THA, respectively. In the context of the anterior approach, RAS-THA only showed advantages in VCOR (P = 0.002), anteversion (P = 0.026), femoral stem alignment (P = 0.010), and leg length discrepancy (P = 0.006); in the posterior and lateral approaches, the differences between the two groups were mainly reflected in the VCOR (P = 0.034), inclination (P = 0.009), and leg length discrepancy (P = 0.014) (eTable 3 in the supplementary information).

Discussion

This study contributes to the existing literature by being a prospective, multicenter RCT that rigorously evaluates the postoperative radiographic outcomes of RAS-THA and M-THA for hip-related pathologies. Our findings suggest a notable advantage for RAS-THA in terms of VCOR, femoral stem alignment, and leg length discrepancy when compared to M-THA. These advantages were consistent across various subgroups, including different genders, BMI categories, and surgical approaches, thereby supporting the potential of RAS-THA as a reliable and precise option for THA, especially in the restoration of anatomical hip-joint function.

Despite THA being considered one of the most successful surgeries of the twenty-first century [3, 16], clinical complications related to component positioning persist, such as deficits in acetabular cup orientation and COR reconstruction that lead to dislocation and muscle strength problems [17,18,19]. Robot-assisted technology has been extensively adopted in orthopedic surgery, as it demonstrates significant potential advantages [20,21,22,23]. It claims to improve accuracy and precision in the preparation of bone surfaces, enabling precise acetabular reaming and accurate component placement, which has made it a technique that is perceived to be reliable and reproducible. Nevertheless, the efficacy of RAS-THA in improving prosthesis positioning remains a subject of debate [8, 24]. In the trial, the results revealed no significant differences in the anteversion and inclination of the acetabular component between the two groups. These two metrics are crucial determinants when establishing the optimal positioning of the acetabular component, as proper placement can effectively reduce the risks of hip instability, impingement, and restricted joint mobility. Furthermore, our results demonstrated no significant difference in the cup placement rate within the Lewinnek safe zone between the two groups, which was consistent with the findings of Guo et al. [25]

However, there are also some divergent viewpoints that differ from those of Kong et al. [26], who found that the cup inclination and safety zone ratio of RAS-THA were superior to those of M-THA in a retrospective study. We speculate that the associated differences may be attributable to differences in study design and surgical robotic systems. Further, the trial analyzed the effectiveness of two surgical techniques in reconstructing the hip center of rotation, which generally ensures good muscle tone and longevity of the prosthesis. Our results showed that traditional M-THA would cause the COR to move up by about 7.1 mm, while this figure was 0.2 mm in RAS-THA, showing a high coincidence with the preset COR. This may suggest that robot-assisted reaming of the acetabular technique may be beneficial. Our findings were also confirmed in subgroup explorations.

Leg length discrepancy remains a significant postoperative concern, as it often leads to gait abnormalities and reduced patient satisfaction [27]. Our study demonstrated a significant advantage for RAS-THA in minimizing leg length discrepancy, which is supported by prior research. For instance, in a comparative study, Guo et al. [25] found that the leg length discrepancy of the RAS-THA group was significantly smaller than that of the M-THA group. A prospective study by Honl et al. [28] found that the leg length discrepancy was significantly smaller in RAS-THA using the five-axis ROBODOC system compared with M-THA. In contrast, Kayani et al. [29] compared 25 patients undergoing posterolateral RAS-THA with 50 patients undergoing conventional M-THA by the same surgeon and found no difference in achieving leg length correction. This difference is mainly attributed to the small sample size of the study, which may have biased the conclusions. However, in this trial, the sample of research subjects was larger, the research design was more rigorous, and the relevant results were also verified in further subgroup analyses. This result is exciting, especially for those patients with huge differences in the lengths of the lower limbs due to hip diseases, such as collapsed osteonecrosis of the femoral head and developmental dysplasia of the hip, as it can correct the leg length and restore the patient's lower limb length more accurately.

Our study did not find significant differences in femoral canal fill ratios between the groups, indicating that both manual and robotic techniques are effective. However, the precision of femoral stem alignment was notably better in the RAS-THA group, suggesting that robot-assisted technology, especially when utilizing preoperative 3D CT, could offer personalized femoral stem placement and reduce varus or valgus alignment issues. An abnormal varus–valgus angle of the femoral stem may affect the hip offset, causing additional pressure or friction on the surrounding tissue, which causes persistent discomfort or thigh pain for the patient and ultimately shortens the life of the component [30,31,32]. In terms of femoral canal fill, these results indicate that both the manual selection and the robotic selection of femoral stem size are accurate, but in the process of femoral reaming, robot-assisted technology using preoperative 3D CT can effectively provide a personalized template and then perform virtual projection during the surgery according to the mapped bone landmarks, which can accurately provide personalized femoral stem placement and reduce stem varus or valgus.

Strengths and limitations

The strengths of this trial lie in its open-label, multicenter randomized controlled design and the participating institutions (three hospitals in China), which ensure the representativeness and generalization of the results. In addition, all surgeons received uniform training in standardized arthroplasty procedures to minimize heterogeneity among surgical techniques, and the same inclusion and exclusion criteria were applied to all subjects. With this rigorous methodological design, we believe that the results of this trial add new evidence supporting the use of RAS-THA in promoting postoperative femoral stem alignment and reducing leg length discrepancy, thereby improving clinically important outcomes that previously lacked high-quality evidence.

Several limitations of the trial are worth noting. Firstly, this study mainly focused on a postoperative radiographic evaluation and was unable to compare postoperative clinical functional outcomes and complications between the two groups of participants. This is mainly due to the fact that the follow-up is still in progress, but for THA, the radiographic performance is usually one of the key indicators of surgical efficacy. Second, a multicenter design involves several participating surgeons, and the technique may be less standardized than a proof-of-concept design within a single center. Nevertheless, the rich surgical experience and the surgical capacity ensured that the surgeons performed safe THA and the implementation of uniform techniques. Of course, the trial should be considered realistic and reflective of common clinical practice, so the results should be generalizable to a wider patient population with characteristics similar to those included in the trial. Third, this trial did not take into account the operative time and additional costs, which affected the appropriate cost range, and robot-assisted technology must be within the appropriate economics to justify its widespread use.

Conclusion

In conclusion, this randomized clinical trial demonstrated that RAS-THA effectively improved the postoperative VCOR and significantly reduced the variability in leg length discrepancy, regardless of the surgical approach, gender, or patient BMI. This information confirms and expands the evidence that robot-assisted technology can improve surgical precision. RAS-THA should be considered as an effective adjunct to achieve low variability in leg length differences in challenging patients.

Availability of data and materials

All the data in the study are available from the corresponding author on reasonable request.

References

  1. Kurtz S, Ong K, Lau E, Mowat F, Halpern M (2007) Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am 89:780–785

    Article  PubMed  Google Scholar 

  2. Sloan M, Premkumar A, Sheth NP (2018) Projected volume of primary total joint arthroplasty in the U.S, 2014 to 2030. J Bone Joint Surg Am 100:1455–1460

    Article  PubMed  Google Scholar 

  3. Learmonth ID, Young C, Rorabeck C (2007) The operation of the century: total hip replacement. Lancet 370:1508–1519

    Article  PubMed  Google Scholar 

  4. Lang JE, Mannava S, Floyd AJ, Goddard MS, Smith BP, Mofidi A et al (2011) Robotic systems in orthopaedic surgery. J Bone Joint Surg Br 93:1296–1299

    Article  CAS  PubMed  Google Scholar 

  5. Jacofsky DJ, Allen M (2016) Robotics in arthroplasty: a comprehensive review. J Arthroplasty 31:2353–2363

    Article  PubMed  Google Scholar 

  6. Han PF, Chen CL, Zhang ZL, Han YC, Wei L, Li PC et al (2019) Robotics-assisted versus conventional manual approaches for total hip arthroplasty: a systematic review and meta-analysis of comparative studies. Int J Med Robot 15:e1990

    Article  PubMed  PubMed Central  Google Scholar 

  7. Clement ND, Gaston P, Bell A, Simpson P, Macpherson G, Hamilton DF et al (2021) Robotic arm-assisted versus manual total hip arthroplasty. Bone Joint Res 10:22–30

    Article  PubMed  Google Scholar 

  8. Domb BG, El Bitar YF, Sadik AY, Stake CE, Botser IB (2014) Comparison of robotic-assisted and conventional acetabular cup placement in THA: a matched-pair controlled study. Clin Orthop Relat Res 472:329–336

    Article  PubMed  Google Scholar 

  9. Shaw JH, Rahman TM, Wesemann LD, Jiang CZ, Lindsay-Rivera KG, Davis JJ (2022) Comparison of postoperative instability and acetabular cup positioning in robotic-assisted versus traditional total hip arthroplasty. J Arthroplasty 37:S881-s889

  10. Maldonado DR, Go CC, Kyin C, Rosinsky PJ, Shapira J, Lall AC et al (2021) Robotic arm-assisted total hip arthroplasty is more cost-effective than manual total hip arthroplasty: a Markov model analysis. J Am Acad Orthop Surg 29:e168–e177

  11. Kirchner GJ, Lieber AM, Haislup B, Kerbel YE, Moretti VM (2021) The cost of robot-assisted total hip arthroplasty: comparing safety and hospital charges to conventional total hip arthroplasty. J Am Acad Orthop Surg 29:609–615

    Article  PubMed  Google Scholar 

  12. Heng Y, Gunaratne R, Ironside C, Taheri A (2018) Conventional vs robotic arm assisted total hip arthroplasty (THA) surgical time, transfusion rates, length of stay, complications and learning curve. J Arthritis 7:04

  13. Kamara E, Robinson J, Bas MA, Rodriguez JA, Hepinstall MS (2017) Adoption of robotic vs fluoroscopic guidance in total hip arthroplasty: is acetabular positioning improved in the learning curve? J Arthroplasty 32:125–130

    Article  PubMed  Google Scholar 

  14. Redmond JM, Gupta A, Hammarstedt JE, Petrakos AE, Finch NA, Domb BG (2015) The learning curve associated with robotic-assisted total hip arthroplasty. J Arthroplasty 30:50–54

    Article  PubMed  Google Scholar 

  15. Buchan G, Ong C, Hecht C, Tanous TJ, Peterson B, Hasegawa A et al (2023) Equivalent radiation exposure with robotic total hip replacement using a novel, fluoroscopic-guided (CT-free) system: case-control study versus manual technique. J Robot Surg 17(4):1561–1567

  16. Evans JT, Evans JP, Walker RW, Blom AW, Whitehouse MR, Sayers A (2019) How long does a hip replacement last? A systematic review and meta-analysis of case series and national registry reports with more than 15 years of follow-up. Lancet 393:647–654

    Article  PubMed  PubMed Central  Google Scholar 

  17. Salmons HI, Karczewski D, Ledford CK, Bedard NA, Wyles CC, Abdel MP (2023) Femoral head length impact on outcomes following total hip arthroplasty in 36 millimeter cobalt chrome-on-highly crosslinked polyethylene articulations. J Arthroplasty 38:1787–1792

    Article  PubMed  Google Scholar 

  18. Budzińska MB, Maciąg BM, Żarnovsky K, Kordyaczny T, Kowalczyk IM, Adamska O et al (2023) How to analyze postoperative radiographs after total hip replacement. Jpn J Radiol 41:14–18

    Article  PubMed  Google Scholar 

  19. Abolghasemian M, Samiezadeh S, Jafari D, Bougherara H, Gross AE, Ghazavi MT (2013) Displacement of the hip center of rotation after arthroplasty of Crowe III and IV dysplasia: a radiological and biomechanical study. J Arthroplasty 28:1031–1035

  20. Parsley BS (2018) Robotics in orthopedics: a brave new world. J Arthroplasty 33:2355–2357

    Article  PubMed  Google Scholar 

  21. Chen AF, Kazarian GS, Jessop GW, Makhdom A (2018) Robotic technology in orthopaedic surgery. JBJS 100:1984–1992

    Article  Google Scholar 

  22. Batailler C, Fernandez A, Swan J, Servien E, Haddad FS, Catani F et al (2021) MAKO CT-based robotic arm-assisted system is a reliable procedure for total knee arthroplasty: a systematic review. Knee Surg Sports Traumatol Arthrosc 29:3585–3598

    Article  PubMed  Google Scholar 

  23. DeFrance MJ, Yayac MF, Courtney PM, Squire MW (2021) The impact of author financial conflicts on robotic-assisted joint arthroplasty research. J Arthroplasty 36:1462–1469

    Article  PubMed  Google Scholar 

  24. Kayani B, Konan S, Ayuob A, Ayyad S, Haddad FS (2019) The current role of robotics in total hip arthroplasty. EFORT Open Rev 4:618–625

    Article  PubMed  PubMed Central  Google Scholar 

  25. Guo DH, Li XM, Ma SQ, Zhao YC, Qi C, Xue Y (2022) Total hip arthroplasty with robotic arm assistance for precise cup positioning: a case-control study. Orthop Surg 14:1498–1505

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kong X, Yang M, Jerabek S, Zhang G, Chen J, Chai W (2020) A retrospective study comparing a single surgeon’s experience on manual versus robot-assisted total hip arthroplasty after the learning curve of the latter procedure—a cohort study. Int J Surg 77:174–180

  27. Hardwick-Morris M, Wigmore E, Twiggs J, Miles B, Jones CW, Yates PJ (2022) Leg length discrepancy assessment in total hip arthroplasty: is a pelvic radiograph sufficient? Bone Jt Open 3:960–968

    Article  PubMed  PubMed Central  Google Scholar 

  28. Honl M, Dierk O, Gauck C, Carrero V, Lampe F, Dries S et al (2003) Comparison of robotic-assisted and manual implantation of a primary total hip replacement. a prospective study. J Bone Joint Surg Am 85:1470–1478

    Article  PubMed  Google Scholar 

  29. Kayani B, Konan S, Thakrar RR, Huq SS, Haddad FS (2019) Assuring the long-term total joint arthroplasty: a triad of variables. Bone Joint J. 1(101):11–18

    Article  Google Scholar 

  30. Alpaugh K, Chiu YF, Zlotnicki JP, Bendich I, Valle AGD, Bostrom MPG et al (2022) Femoral component undersizing and alignment are risk factors for early periprosthetic femur fracture. J Arthroplasty 37:S604-s610

    Article  PubMed  Google Scholar 

  31. Müller M, Crucius D, Perka C, Tohtz S (2011) The association between the sagittal femoral stem alignment and the resulting femoral head centre in total hip arthroplasty. Int Orthop 35:981–987

    Article  PubMed  Google Scholar 

  32. Luger M, Feldler S, Pisecky L, Allerstorfer J, Gotterbarm T, Klasan A (2023) The critical trochanter angle does not show superiority over the CCD angle in predicting varus stem alignment in cementless short-stem total hip arthroplasty. Arch Orthop Trauma Surg 143:529–537

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to extend our sincere gratitude to Longwell Company. The company provided invaluable support and resources throughout the course of this research, enabling our work to proceed smoothly and achieve significant results. We especially thank the technical team (Hongqing Li, Wei Chen, etc.) at Longwell Company for their expertise and selfless assistance during the study, which played a crucial role in our experimental design and data analysis.

Funding

This work was supported by the National Natural Science Foundation of China (grant no. 82202672), the Key Research and Development Program of Anhui Province (no. 2022e07020017), a China Postdoctoral Science Foundation Grant (no. 2022M723049), the Anhui Provincial Research Preparation Plan (no. 2022AH040074), the Joint Fund for Medical Artificial Intelligence (no. MAI2022C002), and research funds of the Centre for Leading Medicine and Advanced Technologies of IHM (no. 2023IHM02009).

Author information

Authors and Affiliations

Authors

Contributions

Three professors (Haining Zhang, Bo Yang, and Chen Zhu) had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: HNZ, BY, and CZ. Acquisition, analysis, or interpretation of data: XZZ, XYS, RWZ, MC, and RXM. Drafting of the manuscript: XYS and XZZ. Critical revision of the manuscript for important intellectual content: HNZ, BY, and CZ. Statistical analysis: XYS, XZZ, and ZAZ. Administrative, technical, or material support: BY and CZ. Supervision: XYS, XZZ, and CZ.

Corresponding authors

Correspondence to Haining Zhang, Bo Yang or Chen Zhu.

Ethics declarations

Ethics approval and consent to participate

Ethical approval was obtained from the institutional review boards of the participating hospitals, and all participants provided written informed consent.

Competing interests

None of the authors have any conflicts to report.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, X., Shen, X., Zhang, R. et al. Radiographic evaluation of robot-assisted versus manual total hip arthroplasty: a multicenter randomized controlled trial. J Orthop Traumatol 25, 33 (2024). https://doi.org/10.1186/s10195-024-00773-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s10195-024-00773-3

Keywords