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Comparison of baseline outcomes between surgical and nonoperative management in youth with lower extremity torsional abnormalities
⁎Corresponding author: M. Gagnon. marianne.gagnon3@mail.mcgill.ca
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Received: ,
Accepted: ,
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.
Keywords
Adolescents Pediatric Pain Tool
Computed Tomography Scan
Standing biplanar radiographs
Gilette Functional Assessment Questionnaire
Copenhagen Hip and Groin Outcome Score
Lower Extremity Torsional Abnormality
Medial patellofemoral ligament
Pediatric International Knee Documentation Committee
Pediatric Outcomes Data Collection Instrument
Patient Reported Outcomes
Patient-Reported Outcomes Measurement Information System
Range of Motion
Statistical Parametric Mapping
1 Introduction
Lower extremity torsional abnormalities (LETA) commonly affect children and include excessive torsion of the femur and/or tibia. While most cases resolve with growth, some persist and can lead to symptoms that affect quality of life. Symptoms may include hip, knee or ankle pain, patellar instability, and functional limitations.1–3 When symptomatic, management options include nonoperative approaches such as bracing and physical therapy or surgical correction via derotational osteotomy.
Most studies have focused on surgical outcomes or on the overall effects of torsion in mixed cohorts that include patients managed both surgically and nonoperatively, with little attention to differences between these groups.1,4 Some studies suggest that foot orthoses may help improve abnormal foot progression angles.2,5–8 Evidence for physical therapy is sparse. One case report described minimal improvement with physical therapy, with subsequent need for surgery.9 Several studies noted failed courses of physical therapy before surgery.4,10,11 Conversely, derotational osteotomy has been shown to improve physical function, gait patterns and pain in patients with LETA.2,5–8 However, few studies have examined baseline differences between patients who undergo surgery and those managed with nonoperative methods.
In clinical practice, many orthopedic surgeons recommend physical therapy as first-line treatment, reserving surgery for patients who do not respond to physical therapy and whose quality of life remains affected.10,12,13 Despite this general approach, there are no clear clinical guidelines delineating which patients should undergo surgery. Identifying baseline differences between patients managed surgically and those treated with nonoperative methods may clarify factors that influence surgical decision-making and support the development of more standardized treatment criteria for young patients with LETA.
Therefore, the objective of this study was to determine whether patients with LETA who were referred to nonoperative management differed from those referred to surgery. It was hypothesized that the nonoperative group would be younger and would report less pain and fewer physical limitations than the surgical group.
2 Methods
2.1 Study design and participants
This sub-study is part of a larger, multicenter, prospective study (A02-M04-22B/20222336), approved by the Institutional Review Board, which investigates the impact of LETA on pain, physical function, gait patterns, and surgical outcomes. The present analysis compared baseline outcomes among patients with LETA referred for motion analysis who ultimately received nonoperative or surgical management and also included an age-matched control group.
Data were collected between March 2022 and June 2025 at a tertiary pediatric orthopedic hospital. Eligible patients were 10–21 years old, had a diagnosis of LETA, and were referred to the Motion Analysis Center to guide treatment decisions. Written informed consent and assent (when applicable) were obtained from all patients and/or their legal guardians. After completing all assessments, patients were categorized as surgical or nonoperative based on the treating surgeon's plan. Patients offered surgery who elected not to proceed were classified as nonoperative to reflect real-world care. A control group was also included, but did not undergo imaging to avoid unnecessary radiation exposure.
Surgery was considered for patients who had not responded to nonoperative treatment, reported symptoms affecting quality of life, and demonstrated objective evidence of excessive femoral anteversion and/or external tibial torsion. Exclusion criteria included additional lower limb deformities (e.g. genu valgum, leg length discrepancy) or neuromuscular disorders (e.g. cerebral palsy).
2.2 Assessments
2.2.1 Imaging
To quantify lower limb rotational profiles, patients underwent either a supine computed tomography scan (CT scan) and/or standing biplanar radiographs (EOS) according to the clinical pathway. When both were performed, the results of the CT scan were used. CT scan and EOS were found to be comparable.14,15
On CT scans, femoral version was defined as the angle between the femoral neck axis and the posterior bicondylar axis.15 Tibial torsion was defined as the angle between a line tangential to the posterior tibial cortex on the slice just proximal to the tip of the fibula and the bimalleolar axis on the most proximal slice of the talus. All CT measurements were performed by a fellowship-trained orthopedic surgeon to ensure consistency and accuracy.
On EOS radiographs, 3D reconstructions were processed externally by the manufacturer's team using their proprietary software (EOS Imaging©). Femoral version was measured as the angular difference between the femoral neck axis and the distal femoral bicondylar axis, both projected onto a plane perpendicular to the femoral shaft.16 Tibial torsion was measured as the angle between the proximal tibial bicondylar axis and the bimalleolar axis, projected onto a plane perpendicular to the tibial shaft.
2.2.2 Physical examination
All participants underwent a standardized physical examination conducted by the treating surgeon and a licensed physical therapist. The measurements noted in this paper include the measurements conducted by the physical therapist. The assessment included passive measurements of lower limb range of motion (ROM) and patellofemoral specific tests (J-sign, patellar apprehension, and medial patellofemoral ligament (MPFL) laxity). Generalized joint hypermobility was assessed with the Beighton score.17
Muscle strength was measured with a handheld dynamometer (Commander Echo Muscle Tester, JTech Medical, United States), following the protocol described by Eek, Kroksmark and Beckung,18 except for the hip internal and external rotation, which were performed in a seated position. For each muscle group, lever arms were measured to compute joint moments (force × lever arm) and values were normalized to body mass (Nm/kg). Each measurement was performed twice, and if a difference greater than 15 % was observed between trials, the test was repeated. The two closest values were then averaged.
2.2.3 Quantitative gait analysis
Quantitative gait analysis was performed using the Shriners Children's Gait Model.19 Reflective markers were placed, and participants walked barefoot at a self-selected speed along a 10-m walkway. Three successful trials per limb were processed and averaged for analysis. Kinematic data (dynamic joint angles) were recorded at 100 Hz with 10 infrared cameras (Vicon Vantage V8; Oxford Metrics, Oxford, UK). Kinetic data (ground reaction forces and associated joint moments and power) were collected at 1000 Hz with four force platforms (AMTI; Watertown, MA, USA). Data acquisition and initial processing, including foot-strike and toe-off detection, were performed in Nexus software (version 2.16; Oxford Metrics, Oxford, UK). Processed data were then exported to MATLAB (version 2023b; MathWorks, Natick, MA, USA) for further analysis.
2.2.4 Patient-reported outcomes
Participants completed several patient-reported outcomes (PROs). These included two domains from the Patient-Reported Outcomes Measurement Information System (PROMIS): Pain Interference (short form 8a) and Physical Activity (short form 8a).20 Pain location, intensity and quality were assessed using the Adolescents Pediatric Pain Tool (APPT).21 Participants also completed a custom questionnaire evaluating their perception of the cosmetic appearance of their legs and knees. Joint-specific questionnaires included the Pediatric International Knee Documentation Committee (PEDI-IKDC) for knee function and the Copenhagen Hip and Groin Outcome Score (HAGOS) for hip/groin function.22,23 Global function was assessed with the Gillette Functional Assessment Questionnaire (FAQ) and the Pediatric Outcomes Data Collection Instrument (PODCI).24 All questionnaires were administered either electronically through Qualtrics (Qualtrics International Inc., Provo, UT, USA) or in paper format.
2.3 Statistical analysis
Normality was assessed with the Shapiro-Wilk test. For continuous variables, parametric tests were applied to normally distributed data, and non-parametric tests were used otherwise. Descriptive statistics summarized baseline characteristics by group. To determine whether there were clinical differences between the surgical, nonoperative and control groups, ANOVA or Kruskal-Wallis tests with post-hoc analysis were used as appropriate. Categorical variables (e.g. patellar assessments) were analyzed with Fisher's exact test. For quantitative gait analysis (kinematic and kinetic), ANOVA was conducted across the entire waveform using a one-dimensional statistical parametric mapping (SPM) approach to compare the three groups and post-hoc analysis was performed to assess group differences.25 A significance level was set at p < 0.05. All statistical analyses were performed in RStudio (version 4.5.1; R Foundation for Statistical Computing, Vienna, Austria) and SPM analyses were performed in MATLAB (R2023b; MathWorks, Natick, MA, USA).
3 Results
A total of 21 patients (female = 17, male = 4) in the surgical group, 13 patients (female = 11, male = 2) in the nonoperative group and 21 in the control group (female: 16, male = 5) were included. There was no statistically significant group difference in age (nonoperative: 14.7 ± 2 years, surgery: 16.3 ± 2.3 years, control: 15.8 ± 2.7; p = 0.06), body mass (nonoperative: 54.4 [95 % CI: 48.0, 60.8]kg, surgery: 52.2 [95 % CI: 48.3, 58.7]kg, control: 57.3 [95 % CI: 52.9, 59.8], p=0.83), height (nonoperative: 1.6 ± 0.1 m, surgery: 1.7 ± 0.1 m, control: 1.6 ± 0.1m, p = 0.32), and body mass index (nonoperative: 19.3 [95 % CI: 19.1, 21.5] kg/m2, surgery: 19.1 [95 %CI: 17.6, 20.8]kg/m2, control: 20.412 [95 % CI: 19.599, 22.370] kg/m2, p = 0.48). Pain duration was also similar (nonoperative: 72.0 [95 % CI: 15.0, 84.0] months, surgery: 48.0 [95 % CI: 31.0, 60.0] months, p = 0.74).
3.1 Imaging
Femoral anteversion did not differ between treatment groups (nonoperative: 35.5° ± 11.9°; surgery: 29.6° ± 9.8°; p = 0.20), but was higher than normative values (11.6 ± 3.5°).26 Tibial torsion showed no significant treatment group difference (nonoperative: 36.8° ± 16.1°; surgery: 38.1° ± 8.4°; p = 0.85), but was higher than normative values (norm: 26.0 ± 4.2°).26 TT-TG distance was similar between treatment groups (nonoperative: 19.7 ± 5.0 mm; surgery: 17.3 ± 5.0 mm; p = 0.33) and higher than normative values (norm: 12.9 (95 % CI: 11.7–14.0)).27
3.2 Physical examination
Between the surgical and nonoperative groups, no significant differences were observed in passive range of motion, relative muscle strength, or generalized joint mobility (Table 1). Relative to controls, both patient groups demonstrated greater hip internal rotation and lower hip external rotation. The surgical group alone exhibited a higher thigh-foot angle, and both patient groups showed a higher transmalleolar axis. For categorical patellofemoral findings, the surgical group displayed higher frequencies of MPFL laxity, patellar apprehension, and a positive J-sign than the nonoperative and control groups (Table 2).
| Domain | Outcome | Surgery n = 15–21 | Nonoperative n = 13 | Control n = 20–21 | p value |
| ROM | Hip internal rotation | 59.9 ± 12.8;a62.0 [56.0, 67.0] | 64.7 ± 11.4;a63.0 [57.0, 75.0] | 50.5 ± 11.5;50.0 [40.0, 55.0] | <0.01 |
| Hip external rotation | 34.7 ± 11.0;a36.0 [30.0, 41.0] | 28.8 ± 8.2;a30.0 [25.0, 35.0] | 44.3 ± 8.8;42.0 [39.0, 47.0] | <0.01 | |
| Thigh foot angle | 20.9 ± 10.3;a19.0 [16.0, 27.0] | 20.5 ± 13.9;16.0 [12.0, 25.0] | 11.8 ± 8.2;12.0 [5.0, 18.0] | 0.01 | |
| Transmalleolar axis | 30.0 ± 11.0;a30.0 [25.0, 32.0] | 29.3 ± 14.3;a25.0 [21.0, 35.0] | 16.8 ± 8.6;20.0 [15.0, 22.0] | <0.01 | |
| Relative muscle strength | Hip extension | 1.0 ± 0.4;0.8 [0.7, 1.1] | 1.0 ± 0.4;0.9 [0.7, 1.3] | 1.2 ± 0.4;1.1 [1.0, 1.2] | 0.19 |
| Hip flexion | 1.4 ± 0.4;1.2 [1.1, 1.5] | 1.2 ± 0.2;1.2 [1.0, 1.4] | 1.4 ± 0.4;1.2 [1.0, 1.7] | 0.66 | |
| Hip abduction | 0.9 ± 0.4;0.8 [0.8, 0.9] | 1.0 ± 0.3;1.1 [0.8, 1.2] | 1.1 ± 0.3;1.1 [0.9, 1.2] | 0.28 | |
| Hip adduction | 0.8 ± 0.3;0.8 [0.7, 1.0] | 0.8 ± 0.2;0.9 [0.8, 1.0] | 0.9 ± 0.3;0.9 [0.7, 1.0] | 0.93 | |
| Hip internal rotation | 0.5 ± 0.2;0.4 [0.4, 0.6] | 0.5 ± 0.1;0.5 [0.4, 0.6] | 0.6 ± 0.3;0.5 [0.4, 0.6] | 0.63 | |
| Hip external rotation | 0.5 ± 0.1;0.5 [0.4, 0.6] | 0.5 ± 0.1;0.5 [0.4, 0.6] | 0.6 ± 0.2;0.5 [0.4, 0.6] | 0.86 | |
| Knee extension | 1.1 ± 0.4;1.1 [0.8, 1.3] | 1.0 ± 0.3;0.9 [0.8, 1.1] | 1.2 ± 0.4;1.2 [0.9, 1.5] | 0.41 | |
| Knee flexion | 0.9 ± 0.3;0.9 [0.7, 1.1] | 0.8 ± 0.2;0.8 [0.6, 1.0] | 1.0 ± 0.4;1.0 [0.7, 1.3] | 0.38 | |
| Ankle dorsiflexion | 0.3 ± 0.1;0.3 [0.2, 0.3] | 0.3 ± 0.1;0.3 [0.3, 0.3] | 0.3 ± 0.1;0.3 [0.2, 0.3] | 0.36 | |
| Ankle plantarflexion | 0.5 ± 0.2;0.5 [0.4, 0.6] | 0.6 ± 0.2;0.6 [0.4, 0.7] | 0.6 ± 0.2;0.6 [0.4, 0.7] | 0.73 | |
| Joint mobility | Beighton score (/9) | 3.5 ± 2.6;3.0 [2.0, 5.0] | 2.2 ± 1.8;2.0 [1.0, 3.0] | 1.9 ± 1.9;2.0 [0.0, 3.5] | 0.12 |
| Outcome | Surgery | Nonoperative | Controls | p value |
| Patella Alta | 5/19 (26.3 %) | 1/13 (7.7 %) | 0/21 (0.0 %) | 0.02 |
| MPFL laxity | 14/21a,b (66.7 %) | 1/13 (7.7 %) | 4/21 (19.0 %) | < 0.01 |
| Apprehension | 13/19a,b (68.4 %) | 1/13 (7.7 %) | 0/21 (0.0 %) | < 0.01 |
| J-sign | 11/21a,b (52.4 %) | 1/13 (7.7 %) | 0/21 (0.0 %) | <0.01 |
3.3 Quantitative gait analysis
Kinematic patterns were similar between treatment groups across the pelvis, hip, knee and ankle (Fig. 1). Significant differences occurred at the knee during terminal stance and swing (37–47 % of the gait cycle), with the nonoperative group showing greater knee flexion than the control group. In the transverse plane, when compared to the control group, the surgical group demonstrated slightly greater external knee rotation (30–40 % of the gait cycle) and internal foot rotation (0–6 %, 33–36 %, 88–100 % of the gait cycle). Overall, kinetic data were also comparable (Fig. 2). Small, short-duration significant clusters were identified for the hip rotation moment (48–52 % and 66–68 % of the gait cycle) with the nonoperative group having lower moment than the control group. However, the magnitude of these differences was modest.


3.4 Patient-reported outcomes
Overall, both treatment groups had worse scores than controls across most PROs (Table 3), reflecting more symptoms and limitations. Two exceptions: PROMIS Physical Activity showed no overall group difference, and on HAGOS the surgical group was similar to controls for Function in Daily Living and Function in Sport and Recreation. In contrast, the nonoperative group scored lower than the surgical and control groups in those two HAGOS domains.
| Domain | Outcome | Surgery n = 20–21 | Nonoperative n = 13 | Controls n = 19–20 | p value |
| PODCI | Transfer & mobility | 93.4 ± 6.2;a94.0 [91.0, 97.0] | 91.7 ± 10.9;a97.0 [88.0, 100.0] | 99.8 ± 0.7;100.0 [100.0, 100.0] | <0.01 |
| Sports & physical function | 60.5 ± 20.1;a56.0 [48.0, 72.0] | 70.8 ± 22.3;a79.0 [58.0, 86.0] | 95.0 ± 5.9;97.0 [94.0, 98.5] | <0.01 | |
| Comfort & pain | 57.6 ± 20.5;a58.0 [42.0, 67.0] | 58.3 ± 31.1;a58.0 [33.0, 83.0] | 94.2 ± 9.8;100.0 [92.0, 100.0] | <0.01 | |
| Global function | 77.4 ± 9.5;a77.0 [71.0, 83.0] | 79.4 ± 14.5;a77.0 [72.0, 92.0] | 97.1 ± 2.6;97.0 [96.5, 99.0] | <0.01 | |
| Happiness | 74.5 ± 16.9;a80.0 [65.0, 85.0] | 73.5 ± 19.6;a75.0 [70.0, 85.0] | 90.8 ± 10.8;92.5 [87.5, 100.0] | <0.01 | |
| FAQ | FAQ | 36.0 ± 11.0;a33.0 [28.0, 42.0] | 32.2 ± 9.5;a31.0 [25.0, 36.0] | 22.2 ± 0.8;22.0 [22.0, 22.0] | <0.01 |
| PEDI-IKDC | PEDI-IKDC | 55.0 ± 18.0;a56.5 [47.8, 63.0] | 67.5 ± 14.6;a70.7 [53.3, 79.3] | 98.2 ± 6.7;100.0 [100.0, 100.0] | <0.01 |
| APPT | Scale | 3.9 ± 2.5;a4.5 [1.9, 5.9] | 3.1 ± 2.5;a3.0 [1.0, 4.6] | 0.4 ± 1.3;0.0 [0.0, 0.0] | <0.01 |
| Number of locations | 3.6 ± 4.1;a2.0 [1.5, 4.0] | 5.4 ± 5.9;a4.0 [1.0, 6.0] | 0.3 ± 1.0;0.0 [0.0, 0.0] | <0.01 | |
| Quality-Sensory | 8.0 ± 5.9;a7.0 [5.0, 11.0] | 7.8 ± 7.6;a5.0 [3.0, 11.0] | 0.1 ± 0.3;0.0 [0.0, 0.0] | <0.01 | |
| Quality-Affective | 0.7 ± 1.1;a0.0 [0.0, 1.0] | 0.8 ± 1.5;0.0 [0.0, 1.0] | 0.0 ± 0.0;0.0 [0.0, 0.0] | 0.02 | |
| Quality-Evaluative | 2.2 ± 1.4;a2.0 [1.0, 3.0] | 1.8 ± 2.1;a1.0 [0.0, 3.0] | 0.1 ± 0.5;0.0 [0.0, 0.0] | <0.01 | |
| Cosmetic | Legs | 7.0 ± 2.5;a7.0 [7.0, 8.0] | 6.6 ± 2.6;a7.0 [5.0, 9.0] | 9.1 ± 1.4;9.5 [9.0, 10.0] | <0.01 |
| Knees | 5.4 ± 2.9;a6.0 [3.0, 7.5] | 5.9 ± 2.3;a5.0 [4.0, 7.0] | 9.6 ± 1.2;10.0 [10.0, 10.0] | <0.01 | |
| PROMIS | Pain interference | 54.1 ± 7.7;a54.7 [51.2, 57.6] | 52.7 ± 12.8;a53.7 [40.6, 60.4] | 35.1 ± 2.9;34.0 [34.0, 34.0] | <0.01 |
| Physical activity | 45.1 ± 8.7;41.9 [40.4, 49.6] | 43.6 ± 7.9;44.3 [41.4, 49.6] | 49.5 ± 9.4;49.1 [46.1, 51.8] | 0.13 | |
| HAGOS | Symptoms | 87.0 ± 13.7;a89.3 [82.1, 98.2] | 82.1 ± 13.0;a85.7 [82.1, 89.3] | 96.8 ± 5.7;100.0 [96.4, 100.0] | <0.01 |
| Pain | 90.6 ± 14.1;a98.8 [90.0, 100.0] | 82.7 ± 21.1;a92.5 [77.5, 97.5] | 99.6 ± 1.2; 100.0 [100.0, 100.0] | <0.01 | |
| Activity of daily living | 96.0 ± 10.2;100.0 [100.0, 100.0] | 81.9 ± 22.4;a,b90.0 [80.0, 100.0] | 100.0 ± 0.0;100.0 [100.0, 100.0] | <0.01 | |
| Function Sports and Recreation | 87.3 ± 20.2;100.0 [84.4, 100.0] | 73.8 ± 24.3;a,b84.4 [68.8, 90.6] | 99.1 ± 2.3;100.0 [100.0, 100.0] | <0.01 | |
| Participation in physical activities | 66.2 ± 39.3;a81.2 [37.5, 100.0] | 69.2 ± 30.0;a75.0 [75.0, 87.5] | 98.8 ± 3.8;100.0 [100.0, 100.0] | <0.01 | |
| Quality of life | 88.5 ± 15.1;a97.5 [80.0, 100.0] | 82.3 ± 24.1;a85.0 [80.0, 100.0] | 99.0 ± 3.5;100.0 [100.0, 100.0] | <0.01 |
4 Discussion
The study investigated whether patients referred to nonoperative management differed from those referred for surgery. It was hypothesized that the nonoperative group would be younger and report less pain and fewer physical limitations. While not statistically significant, the surgical group was older by 1.6 years (nonoperative: 14.7 ± 2 years, surgery: 16.3 ± 2.3 years, p = 0.055), consistent with the common clinical practice of deferring derotational osteotomy until skeletal maturity. Although this age difference did not reach statistical significance, in mid-adolescence, a 1–2-year gap can be clinically meaningful,28 and the study was likely underpowered to detect this magnitude of difference. Contrary to the initial hypothesis, pain measures did not differ between treatment groups, and PROs showed a mixed pattern. However, compared to the control group, both treatment groups reported more pain and lower physical function.
Across PROs, the two treatment groups were broadly similar when analyzed alongside controls. An apparent pairwise difference on the PEDI-IKDC (surgical lower than nonoperative) was not significant after the three-group ANOVA with post-hoc testing. Nonetheless, the between-group difference fell within published minimally clinically important difference ranges for PEDI-IKDC (5.6–20.5), suggesting potential clinical relevance despite the lack of statistical significance.29 In contrast, the nonoperative group scored lower than both the surgical and control groups on HAGOS Activities of Daily Living and Function in Sport and Recreation. Objective physical examination findings (ROM, relative muscle strength, and generalized joint mobility) did not differ between treatment groups, although ROM differed from controls. The clearest treatment-group differences were in patellofemoral-specific clinical tests. The surgical group had higher rates of MPFL laxity, patellar apprehension, and patellar maltracking. Taken together, these findings suggest that, overall, surgical patients exhibited more severe knee symptoms and knee-specific functional limitations than the nonoperative group, even though between-group differences were modest.
Given that elective derotational osteotomy is often undertaken for pain-related disability, higher pain was expected in the surgical group. Instead, both treatment groups had higher pain than controls, but were similar to each other. They had similarly low PODCI Comfort & Pain scores (≈58 %) and moderate APPT pain intensity (≈3–4/10), and moderate sensory, affective and evaluative pain qualities. PROMIS Pain Interference scores were higher than controls (53–54 vs 35), indicating an impact on daily activities. Notably, the surgical group had more patellofemoral symptoms, a mechanical indication that can drive surgery independent of constant pain. Patients with patellofemoral instability may experience severe pain during/after dislocation episodes. Because the PROs captured the prior week, recent dislocations may not have occurred at the time of completion, attenuating between-group differences. Consequently, only patients with more constant torsion-related pain would influence mean pain scores.
On imaging and physical examination, both treatment groups differed from normative data and from controls, but they were similar to each other in femoral anteversion, external tibial torsion, passive ROM, relative muscle strength and generalized joint laxity. Each treatment group included patients with isolated femoral anteversion, isolated external tibial torsion, and combined deformities. This case mix likely influenced group averages for femoral version, tibial torsion and ROM depending on the proportion of each pattern. In contrast, patellofemoral-specific tests (MPFL laxity, apprehension test and J-sign) were significantly more frequent in the surgical group, indicating greater patellar instability. This pattern aligns with current surgical decision-making, in which patellar instability in the context of LETA is a key indication for surgery13 and is consistent with reports of improved outcomes when torsional deformities are corrected at the same time with osteotomy compared with ligament surgery alone.6
Kinematic and kinetic differences among the three groups were limited to small regions of the gait cycle. Limited contrasts likely reflect heterogeneity in torsional deformities pattern (isolated femoral version, isolated external tibial torsion, combined torsion) and compensatory strategies. For example, some patients with external tibial torsion exhibit increased internal hip rotation during gait, whereas others do not, diluting group-level effects when averaged.30 One notable kinematic difference was greater knee flexion at terminal stance in the nonoperative group, which may reflect a protective strategy to reduce patellofemoral demand or apprehension. This compensation has been described for patients with LETA.1,30–32 Conversely, increased knee extension during stance has also been described to reduce joint loading and quadriceps demand.33,34 Such opposing adaptations attenuate mean differences. Visual inspection of individual curves confirmed the presence of both strategies among patients. Accordingly, despite muted group differences, gait analysis remains clinically useful to identify compensatory mechanisms prior to nonoperative or surgical management, as outcomes may differ depending on whether such mechanisms are present.2,30
PROs suggested that different joints were most impacted in each treatment pathway. The surgical group tended to show more knee-focused limitations (PEDI-IKDC), while the nonoperative group reported more hip/groin limitations (HAGOS). Practically, PEDI-IKDC is routinely collected at gait visits and readily available to surgeons, whereas HAGOS was study-specific. Therefore, knee-specific information may be more visible in routine reports. However, in clinical practice, PROs document symptom burden and track response to care. They complement, rather than determine, surgical indications, which are ultimately guided by the combination of physical examination, gait analysis, imaging findings, and patient subjective information.
4.1 Limitations
This study followed standard-of-care pathways. Consequently, some patients managed nonoperatively did not undergo imaging, and a few were enrolled after gait analysis, yielding limited missing data, most notably for dynamometry. The surgical cohort was modestly older (≈1.6 years). Although not statistically significant (p = 0.055), this difference is clinically relevant in mid-adolescence and likely underpowered. This age difference also reflects the usual practice to defer derotational osteotomy until near skeletal maturity. Treatment allocation was verified by final chart reviews. Patients offered surgery who chose nonoperative care were included in the nonoperative group to reflect real-world decisions, which may bias estimates toward factors influencing treatment choice. Allocation to surgery reflected routine clinical judgment rather than protocolized criteria. Consequently, unmeasured factors in clinician decision-making (indication bias) may therefore have influenced group assignment. Finally, inclusion of isolated femoral anteversion, isolated external tibial torsion, and combined deformity likely attenuated group means but mirrors clinical case-mix. Larger, stratified studies are warranted.
5 Conclusions
In this cohort of young patients with LETA, both the surgical and nonoperative groups showed meaningful impairment on function, physical examination, and imaging, supporting the need for treatment in either pathway. However, treatment group differences were modest overall. Surgical referrals in practice appeared to align most with patellofemoral instability in the context of torsional deformity, whereas pain severity, passive ROM, and relative muscle strength did not clearly separate pathways. PRO patterns suggested a tendency towards greater knee-specific limitation in the surgical cohort and more hip/groin limitation in the nonoperative cohort, but these differences were small. Rather than relying on any single metric, surgeons use a patient-specific, integrated synthesis of imaging, physical examination, gait findings, and PROs. The interaction among these factors guides decision-making and is not fully reflected in group means. The small differences reported between both pathways truly highlight the need for clear, consensus-based guidelines to determine treatment pathways. The findings of this study also support a systematic assessment framework that includes patellofemoral testing, joint-specific PROs, imaging, and instrumented gait analysis, and they underscore the importance of screening for concomitant torsional deformity in patients presenting with patellofemoral instability.
Guardian/patient's consent
Written informed consent and assent (when applicable) were obtained from all patients and/or their legal guardians.
Credit author statement
-Funding Acquisition: Marianne Gagnon (MG), Karen M Kruger (KMK), Mitchell Bernstein (MB), Louis-Nicolas Veilleux (LNV)-Conceptualization: MG, MB, LNV-Data curation: Sena Tavukcu (ST), MG-Formal analysis: MG-Supervision: MB, LNV-Methodology: MG, MB, LNV-Project Administration: ST, KMK, LNV-Investigation: MG, KMK, MB, LNV-Writing - original draft: MG-Writing – review & editing: MG, Jeremy Bauer (JB), KMK, ST, Haluk Altiok (HA), Reggie Hamdy (RH), MB, LNV
Disclosure
During the preparation of this work, the authors used ChatGPT (OpenAI, San Francisco, CA, USA) to assist with improving readability. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.
Ethical statement
This study is approved by the McGill Institutional Review Board (A02-M04-22B/20222336). Written informed consent and assent (when applicable) were obtained from all patients and/or their legal guardians.
Funding statement
This study was funded by a developmental grant from Shriners’ s Children (#79155, 2022–2024). MG was supported by doctoral scholarships from the Fonds de recherche du Québec-Santé [#298324; 2021–2022]; and the Canadian Institutes of Health Research [#476791; 2022–2025].
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