scholarly journals Improving Prosthetic Selection and Predicting BMD from Biometric Measurements in Patients Receiving Total Hip Arthroplasty

Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 815
Author(s):  
Carlo Ricciardi ◽  
Halldór Jónsson ◽  
Deborah Jacob ◽  
Giovanni Improta ◽  
Marco Recenti ◽  
...  
Keyword(s):  
Decision Making ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Quality Data ◽  
National Database ◽  
Patient Specific ◽  
Surgical Approaches ◽  
Decision Making Process ◽  
Mineral Density ◽  
Total Hip

There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncemented type of prosthesis. The choice is usually based on the experience of the orthopaedic surgeon and on parameters such as the age and gender of the patient. Using machine learning (ML) techniques on quantitative biomechanical and bone quality data extracted from computed tomography, electromyography and gait analysis, the aim of this paper was, firstly, to help clinicians use patient-specific biomarkers from diagnostic exams in the prosthetic decision-making process. The second aim was to evaluate patient long-term outcomes by predicting the bone mineral density (BMD) of the proximal and distal parts of the femur using advanced image processing analysis techniques and ML. The ML analyses were performed on diagnostic patient data extracted from a national database of 51 THA patients using the Knime analytics platform. The classification analysis achieved 93% accuracy in choosing the type of prosthesis; the regression analysis on the BMD data showed a coefficient of determination of about 0.6. The start and stop of the electromyographic signals were identified as the best predictors. This study shows a patient-specific approach could be helpful in the decision-making process and provide clinicians with information regarding the follow up of patients.

scholarly journals Perioperative Patient-specific Factors-based Nomograms Predict Short-term Periprosthetic Bone Loss After Total Hip Arthroplasty

2020 ◽  
Author(s):  
Guangtao Fu ◽  
Mengyuan Li ◽  
Yunlian Xue ◽  
Qingtian Li ◽  
Zhantao Deng ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Bone Loss ◽  
Hip Arthroplasty ◽  
Postoperative Period ◽  
Patient Specific ◽  
Mineral Density ◽  
Periprosthetic Bone ◽  
Gruen Zone ◽  
Total Hip ◽  
Periprosthetic Bone Loss

Abstract Background Although medical intervention of periprosthetic bone loss in the immediate postoperative period was recommended, not all the patients experienced periprosthetic bone loss after total hip arthroplasty (THA). Prediction toolsthat enrolledallpotential risk factors to calculate an individualized prediction of postoperative periprosthetic bone loss were strongly needed for clinical decision-making.MethodsData of the patients underwent primary unilateral cementless THA between April 2015 and October 2017 in our center were retrospectively collected. Candidate variables included demographic data and bone mineral density (BMD) in spine, hip and periprosthetic regions that measured 1 week after THA. Outcomes of interest included the risk of postoperative periprosthetic bone loss in Gruen zone 1, 7 and total zones in the 1st postoperative year. Nomograms were presented based on multiple logistic regressions via R language.Bootstrap was used for internal validation. Results 427 patients (195 male and 232 female) were included in this study.The mean BMD of Gruen zone 1, 7,and total were decreased by 4.1%, 6.4%, and 1.7% at the 1st year after THA, respectively. 61.1% of the patients (261/427) experienced bone loss in Gruen zone 1 at the 1st postoperative year, while there were 58.1% (248/427) in Gruen zone 7 and 63.0% (269/427) in Gruen zone total. Bias-corrected c-index for risk of postoperative bone lossin Gruen zone 1, 7 and total zones in the 1st postoperative year were 0.700, 0.785, and 0.696, respectively. The most highly influential factor for the postoperative periprosthetic bone loss was the BMD in the corresponding Gruen zones at the baseline.ConclusionsThe present study presented the perioperative factors-based nomograms for predicting periprosthetic bone loss after THA with adequate predictive discrimination and calibration.Those tools would helpsurgeons to identify high-risk patients who may benefit from anti-bone-resorptive treatment on the early postoperative period effectively. Such prediction model could also provide patients with reasonable expectations following surgery, which may improve satisfaction and patient compliance.

scholarly journals Perioperative patient-specific factors-based nomograms predict short-term periprosthetic bone loss after total hip arthroplasty

2020 ◽  
Author(s):  
Guangtao Fu ◽  
Mengyuan Li ◽  
Yunlian Xue ◽  
Qingtian Li ◽  
Zhantao Deng ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Bone Loss ◽  
Hip Arthroplasty ◽  
Postoperative Period ◽  
Patient Specific ◽  
Mineral Density ◽  
Periprosthetic Bone ◽  
Gruen Zone ◽  
Total Hip ◽  
Periprosthetic Bone Loss

Abstract Background: Although medical intervention of periprosthetic bone loss in the immediate postoperative period was recommended, not all the patients experienced periprosthetic bone loss after total hip arthroplasty (THA). Prediction tools that enrolled all potential risk factors to calculate an individualized prediction of postoperative periprosthetic bone loss were strongly needed for clinical decision-making. Methods: Data of the patients underwent primary unilateral cementless THA between April 2015 and October 2017 in our center were retrospectively collected. Candidate variables included demographic data and bone mineral density (BMD) in spine, hip and periprosthetic regions that measured 1 week after THA. Outcomes of interest included the risk of postoperative periprosthetic bone loss in Gruen zone 1, 7 and total zones in the 1st postoperative year. Nomograms were presented based on multiple logistic regressions via R language. 1000 Bootstraps were used for internal validation. Results: 563 patients met the inclusion criteria were enrolled, and the final analysis was performed in 427 patients (195 male and 232 female) after the exclusion. The mean BMD of Gruen zone 1, 7, and total were decreased by 4.1%, 6.4%, and 1.7% at the 1st year after THA, respectively. 61.1% of the patients (261/427) experienced bone loss in Gruen zone 1 at the 1st postoperative year, while there were 58.1% (248/427) in Gruen zone 7 and 63.0% (269/427) in Gruen zone total. Bias-corrected c-index for risk of postoperative bone loss in Gruen zone 1, 7 and total zones in the 1st postoperative year were 0.700, 0.785, and 0.696, respectively. The most highly influential factors for the postoperative periprosthetic bone loss were primary diagnosis and BMD in the corresponding Gruen zones at the baseline. Conclusions: To the best of our knowledge, our study represented the first time to use the nomograms in estimating the risk of postoperative periprosthetic bone loss with adequate predictive discrimination and calibration. Those predictive models would help surgeons to identify high-risk patients who may benefit from anti-bone-resorptive treatment on the early postoperative period effectively. It is also beneficial for patients, as they can choose the treatment options based on a reasonable expectation following surgery.

Patient-specific mobility assessment to monitor recovery after total hip arthroplasty

2018 ◽  
Vol 232 (10) ◽  
pp. 1048-1059 ◽  
Author(s):  
Paolo Gargiulo ◽  
Kyle Joseph Edmunds ◽  
Magnús K Gíslason ◽  
Chase Latour ◽  
Þröstur Hermannsson ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Total Hip Arthroplasty ◽  
Bone Mineral ◽  
Hip Arthroplasty ◽  
Patient Specific ◽  
Mineral Density ◽  
Total Hip ◽  
Mobility Assessment ◽  
Quantitative Metrics ◽  
Gait Parameters

Total hip arthroplasty is a ubiquitously successful orthopedic surgical procedure, whose prevalence is rising worldwide. While many investigations focus on characterizing periprosthetic pathophysiology, the objective of our research is to develop and describe multi-metric assemblies as a first step toward creating a patient-specific mobility index that rehabilitators and orthopedic surgeons can utilize for prescribing their respective procedures. In total, 48 total hip arthroplasty patients (both cemented and uncemented) undergoing unilateral, primary surgery went through computed tomographic scans and gait analysis measurements both before and 1 year following their surgery. Altogether, the reported quantitative metrics include 11 spatial and temporal gait parameters, muscle density, and electromyography signals from the rectus femoris, vastus lateralis, and vastus medialis, and bone mineral density values from bioimage analysis around the implant stem. We found that measured parameters from a subgroup were sensitive to changes observed during patient recovery, implicating the predictive sensitivity of these patient conditions. Most post-operative gait parameters changed significantly, while electromyography data indicated few significant differences. Moreover, results from bioimage analyses indicate a general reduction of periprosthetic bone mineral density after 1 year, in association with increasing density of the quadriceps muscles. Furthermore, this work identifies which quantitative metrics undergo the greatest variation after total hip arthroplasty and demonstrates the clinical feasibility of a multimodal approach to mobility assessment that may ultimately support decision-making for post-surgical rehabilitation protocols.

scholarly journals Perioperative patient-specific factors-based nomograms predict short-term periprosthetic bone loss after total hip arthroplasty

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Guangtao Fu ◽  
Mengyuan Li ◽  
Yunlian Xue ◽  
Qingtian Li ◽  
Zhantao Deng ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Bone Loss ◽  
Hip Arthroplasty ◽  
Postoperative Period ◽  
Patient Specific ◽  
Mineral Density ◽  
Periprosthetic Bone ◽  
Gruen Zone ◽  
Total Hip ◽  
Periprosthetic Bone Loss

Abstract Background Although medical intervention of periprosthetic bone loss in the immediate postoperative period was recommended, not all the patients experienced periprosthetic bone loss after total hip arthroplasty (THA). Prediction tools that enrolled all potential risk factors to calculate an individualized prediction of postoperative periprosthetic bone loss were strongly needed for clinical decision-making. Methods Data of the patients who underwent primary unilateral cementless THA between April 2015 and October 2017 in our center were retrospectively collected. Candidate variables included demographic data and bone mineral density (BMD) in spine, hip, and periprosthetic regions that measured 1 week after THA. Outcomes of interest included the risk of postoperative periprosthetic bone loss in Gruen zone 1, 7, and total zones in the 1st postoperative year. Nomograms were presented based on multiple logistic regressions via R language. One thousand Bootstraps were used for internal validation. Results Five hundred sixty-three patients met the inclusion criteria were enrolled, and the final analysis was performed in 427 patients (195 male and 232 female) after the exclusion. The mean BMD of Gruen zone 1, 7, and total were decreased by 4.1%, 6.4%, and 1.7% at the 1st year after THA, respectively. 61.1% of the patients (261/427) experienced bone loss in Gruen zone 1 at the 1st postoperative year, while there were 58.1% (248/427) in Gruen zone 7 and 63.0% (269/427) in Gruen zone total. Bias-corrected C-index for risk of postoperative bone loss in Gruen zone 1, 7, and total zones in the 1st postoperative year were 0.700, 0.785, and 0.696, respectively. The most highly influential factors for the postoperative periprosthetic bone loss were primary diagnosis and BMD in the corresponding Gruen zones at the baseline. Conclusions To the best of our knowledge, our study represented the first time to use the nomograms in estimating the risk of postoperative periprosthetic bone loss with adequate predictive discrimination and calibration. Those predictive models would help surgeons to identify high-risk patients who may benefit from anti-bone-resorptive treatment in the early postoperative period effectively. It is also beneficial for patients, as they can choose the treatment options based on a reasonable expectation following surgery.

Redesign of the Femoral Stem for a Total Hip Arthroplasty for Additive Manufacturing

2018 ◽  
Author(s):  
Bradley Hanks ◽  
Shantanab Dinda ◽  
Sanjay Joshi
Keyword(s):  
Additive Manufacturing ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Lattice Structure ◽  
Stress Shielding ◽  
Patient Specific ◽  
Hip Implants ◽  
Hip Implant ◽  
Total Hip ◽  
Multiple Materials

Total hip arthroplasty (THA) is an increasingly common procedure that replaces all or part of the hip joint. The average age of patients is decreasing, which in turn increases the need for more durable implants. Revisions in hip implants are frequently caused by three primary issues: femoral loading, poor fixation, and stress shielding. First, as the age of hip implant patients decreases, the hip implants are seeing increased loading, beyond what they were traditionally designed for. Second, traditional implants may have roughened surfaces but are not fully porous which would allow bone to grow in and through the implant. Third, traditional implants are too stiff, causing more load to be carried by the implant and shielding the bone from stress. Ultimately this stress shielding leads to bone resorption and implant loosening. Additive manufacturing (AM) presents a unique opportunity for enhanced performance by allowing for personalized medicine and increased functionality through geometrically complex parts. Much research has been devoted to how AM can be used to improve surgical implants through lattice structures. To date, the authors have found no studies that have performed a complete 3D lattice structure optimization in patient specific anatomy. This paper discusses the general design of an AM hip implant that is personalized for patient specific anatomy and proposes a workflow for optimizing a lattice structure within the implant. Using this design workflow, several lattice structured AM hip implants of various unit cell types are optimized. A solid hip implant is compared against the optimized hip implants. It appears the AM hip implant with a tetra lattice outperforms the other implant by reducing stiffness and allowing for greater bone ingrowth. Ultimately it was found that AM software still has many limitations associated with attempting complex optimizations with multiple materials in patient specific anatomy. Though software limitations prevented a full 3D optimization in patient specific anatomy, the challenges associated such an approach and limitations of the current software are discussed.

In Revision Hip Arthroscopy, Labral Reconstruction Can Address a Deficient Labrum, but Labral Repair Retains Its Role for the Reparable Labrum: A Matched Control Study

2018 ◽  
Vol 46 (14) ◽  
pp. 3437-3445 ◽  
Author(s):  
Itay Perets ◽  
Danil Rybalko ◽  
Brian H. Mu ◽  
David R. Maldonado ◽  
Gary Edwards ◽  
...  
Keyword(s):  
Decision Making ◽  
Total Hip Arthroplasty ◽  
Visual Analog Scale ◽  
Hip Arthroplasty ◽  
Hip Arthroscopy ◽  
Labral Repair ◽  
Acetabular Labrum ◽  
Analog Scale ◽  
Total Hip

Background: Revision hip arthroscopy is increasingly common and often addresses acetabular labrum pathology. There is a lack of consensus on indications or outcomes of revision labral repair versus reconstruction. Purpose: To report clinical outcomes of labral reconstruction during revision hip arthroscopy at minimum 2-year follow-up as compared with pair-matched labral repair during revision hip arthroscopy (control group) and to suggest a decision-making algorithm for labral treatment in revision hip arthroscopy. Study Design: Cohort study; Level of evidence, 3. Methods: Patients who underwent revision hip arthroscopy with labral reconstruction were matched 1:2 with patients who underwent revision arthroscopic labral repair. Patients were matched according to age, sex, and body mass index. Outcome scores, including the modified Harris Hip Score (mHHS), Non-Arthritic Hip Score, Hip Outcome Score–Sport-Specific Subscale, and a visual analog scale for pain, were collected preoperatively and at minimum 2-year follow-up. At latest follow-up, patient satisfaction on a 0-10 scale and the abbreviated International Hip Outcome Tool (iHOT-12) were collected. Complications, subsequent arthroscopies, and conversion to total hip arthroplasty were collected as well. Results: A total of 15 revision labral reconstructions were pair matched to 30 revision labral repairs. The reconstructions had fewer isolated Seldes type I detachments ( P = .008) and lower postoperative lateral center-edge angle, but there were otherwise no significant differences in demographics, radiographics, intraoperative findings, or procedures. Both groups demonstrated significant improvements in all outcomes and visual analog scale at minimum 2-year follow-up. The revision repairs trended toward better preoperative scores: mHHS (mean ± SD: 59.3 ± 16.5 vs 54.2 ± 16.0), Non-Arthritic Hip Score (61.0 ± 16.7 vs 51.2 ± 17.6), Hip Outcome Score–Sport-Specific Subscale (39.6 ± 25.1 vs 30.5 ± 22.1), and visual analog scale (5.8 ± 1.8 vs 6.2 ± 2.2). At follow-up, the revision repair group had significantly higher mHHS (84.1 ± 14.8 vs 72.0 ± 18.3, P = .043) and iHOT-12 (72.2 ± 23.3 vs 49.0 ± 27.6, P = .023) scores than the reconstruction group. The magnitudes of pre- to postoperative improvement between the groups were comparable. The groups also had comparable rates of complications: 1 case of numbness in each group ( P > .999), subsequent arthroscopies (repair: n = 2, 6.5%; revision: n = 3, 20%; P = .150), and conversion to total hip arthroplasty (1 patient in each group, P > .999). Conclusion: Labral reconstruction safely and effectively treats irreparable labra in revision hip arthroscopy. However, labral repair is another treatment option for reparable labra, yielding similar magnitude of improvement. A proposed algorithm may assist in surgical decision making to achieve optimal outcomes based on the condition and history of each patient’s acetabular labrum.

scholarly journals Preventing Loss of Femoral Periprosthetic Bone Mineral Density in Cementless Total Hip Arthroplasty Using a Tapered Wedge Stem in Patients With Osteoporosis Treated With Denosumab: a Retrospective, Cohort Study

2021 ◽  
Author(s):  
Keiji Kamo ◽  
Hiroaki Kijima ◽  
Koichiro Okuyama ◽  
Tetsuya Kawano ◽  
Nobutoshi Seki ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Total Hip Arthroplasty ◽  
Bone Mineral ◽  
Hip Arthroplasty ◽  
Stress Shielding ◽  
Control Group ◽  
Mineral Density ◽  
Total Hip ◽  
Cementless Total Hip Arthroplasty ◽  
Periprosthetic Bone Mineral Density

Abstract Background: Bone mineral density (BMD) of the proximal femur around the stem decreases due to stress shielding after cementless total hip arthroplasty (THA). When severe stress shielding occurs, the risk of periprosthetic femoral fractures increases, and this bone loss can also increase the difficulty of future revision THA. Denosumab is known to improve the quality and strength of cortical bone in the proximal femurs of patients with osteoporosis. The purpose of this study was to investigate whether denosumab prevents loss of proximal femoral periprosthetic BMD in cementless THA using a tapered wedge stem in patients with osteoporosis.Methods: Sixty-three consecutive patients who had undergone unilateral primary THA using a tapered wedge stem were included in this retrospective study. Twenty-four patients who received denosumab for osteoporosis were the denosumab group, and the 39 without denosumab were the control group. At 2 weeks, 6 months, and 12 months after THA, bone turnover markers and femoral periprosthetic BMD were measured.Results: BMD in zone 1 was significantly increased from baseline at both 6 and 12 months after THA in the denosumab group and significantly decreased in the control group. BMD in zone 7 was significantly decreased compared to baseline at both 6 and 12 months after THA in the control group, but not in the denosumab group. The use of denosumab for THA patients with osteoporosis was independently related to preventing loss of periprosthetic BMD of the femur at 12 months after surgery in zones 1 and 7 on multivariate analysis.Conclusions: Denosumab significantly increased proximal femoral periprosthetic BMD in zone 1 and prevented loss of BMD in zone 7 in patients with osteoporosis after cementless THA using a tapered wedge stem at both 6 and 12 months after surgery.

scholarly journals Bone mineral density is not related to heterotopic ossification after total hip arthroplasty

2011 ◽  
Vol 36 (6) ◽  
pp. 1163-1166 ◽  
Author(s):  
Kunihiko Okano ◽  
Kiyoshi Aoyagi ◽  
Makoto Osaki ◽  
Satoru Motokawa ◽  
Tomoko Matsumoto
Keyword(s):  
Bone Mineral Density ◽  
Total Hip Arthroplasty ◽  
Heterotopic Ossification ◽  
Bone Mineral ◽  
Hip Arthroplasty ◽  
Mineral Density ◽  
Total Hip

Risk Factors for Periprosthetic Femoral Fracture in Non-cemented Total Hip Arthroplasty Through the Direct Anterior Approach

2021 ◽  
pp. 155633162110508
Author(s):  
Zachary Berliner ◽  
Cameron Yau ◽  
Kenneth Jahng ◽  
Marcel A. Bas ◽  
H. John Cooper ◽  
...  
Keyword(s):  
Risk Factors ◽  
Total Hip Arthroplasty ◽  
Parkinson Disease ◽  
Hip Arthroplasty ◽  
Femoral Fracture ◽  
Categorical Variables ◽  
Patient Specific ◽  
Periprosthetic Femoral Fracture ◽  
Total Hip ◽  
Increased Risk

Background: Although total hip arthroplasty (THA) performed through the direct anterior (DA) approach is frequently marketed as superior to other approaches, there are concerns about increased risks of intraoperative and early postoperative femoral fracture. Purpose: We sought to assess patient-specific and radiographic risk factors for intraoperative and early postoperative (90-day) periprosthetic femoral fracture (PPFx) following DA approach THA. Methods: We retrospectively reviewed 1107 consecutive, primary, non-cemented DA THAs, performed between April 2009 and January 2015, for intraoperative and early postoperative PPFx. Patients lost to follow-up before 90 days (63), cemented or hybrid THA (52), or early femoral failure for another indication (3) were excluded, yielding 989 hips for analysis. Demographic variables and patient comorbidities were analyzed as risk factors for PPFx. Continuous variables were initially compared with 1-way analysis of variance (ANOVA) and categorical variables with chi-square test. A demographic matched-paired radiographic analysis was performed for femoral stem canal fill and compared using univariate logistic regression. Results: The incidence of perioperative PPFx was 2.02%, including 10 intraoperative and 10 early postoperative fractures. Sustaining a postoperative PPFx was associated with being 70 years old or older with a body mass index (BMI) of less than 25, or with having either osteoporosis or Parkinson disease. Radiographs demonstrated that intraoperative PPFx was associated with stems that filled greater proximally rather than distally. Conclusion: Our cohort study found older age, age over 70 with BMI of less than 25, osteoporosis, and Parkinson disease were associated with increased risk for early postoperative PPFx following DA approach THA. Intraoperative fractures may occur with disproportionate proximal femoral canal fill. Further study can evaluate whether cemented femoral components may mitigate risk in these patient populations.

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