scholarly journals MRI KNEE BONE AGE: A NOVEL SHORTHAND APPROACH TO REDUCE BONE AGE RADIOGRAPHS IN CHILDREN

2020 ◽  
Vol 8 (4_suppl3) ◽  
pp. 2325967120S0018
Author(s):  
Blake C. Meza ◽  
Scott M. LaValva ◽  
Christopher J. DeFrancesco ◽  
Brendan M. Striano ◽  
Julien T. Aoyama ◽  
...  
Keyword(s):  
Radiation Exposure ◽  
Medical Training ◽  
Skeletal Maturity ◽  
Intraclass Correlation ◽  
Age Determination ◽  
Bone Age ◽  
Observer Agreement ◽  
Rater Reliability ◽  
Knee Mri ◽  
The Mean

Background: Determining bone age in skeletally immature patients is critical for proper management and surgical planning. Pennock et al. recently created and validated a bone age atlas using the ossification pattern of the knee on MRI in pediatric patients, obfuscating the need for a hand radiograph and its associated cost, radiation exposure, and clinical inefficiency. Hypothesis/Purpose: We sought to validate and demonstrate reliability of a novel shorthand method of bone age determination using knee MRI across multiple levels of medical training. Methods: We identified patients who underwent knee MRI and hand bone age radiograph within a ninety-day period. In collaboration with a pediatric musculoskeletal radiologist, stepwise algorithms for predicting bone age on knee MRI were developed- one for males and one for females. Six raters at varying levels of training used the algorithm to assign a bone age for each patient. Intraclass correlation coefficient (ICC) was used to compare each rater’s predicted knee bone age to the Greulich and Pyle (G&P) hand bone age and validate the shorthand algorithm. Inter-rater reliability was also calculated using ICC. Results: Thirty-eight patients (44.7% female) underwent a knee MRI at a mean age of 12.8 years (range 9.3-15.7). The mean time between hand bone age x-ray and knee MRI was 20.2 days (range 0-88). The inter-rater reliability for the application of our shorthand algorithm was 0.81 (95% CI: 0.72 – 0.88), indicating good inter-observer agreement. The shorthand methos was shown to be a good predictor of G&P hand bone age, both for each individual rater (ICC range: 0.73 – 0.80) and the mean knee MRI bone age across all raters (ICC 0.81; 95% CI 0.65 – 0.90). It was also shown to be a consistent predictor of hand bone age across level of training, as medical students (ICC 0.77, 95% CI 0.60-0.88), residents (ICC 0.80, 95% CI 0.65-0.89), and attending physicians (ICC 0.80, 95% CI 0.63-0.89) all achieved strong correlation between predicted knee MRI bone age and G&P hand bone age. Conclusions: This novel shorthand algorithm is a reliable and valid way to determine skeletal maturity using knee MRI. It can be utilized clinically across different levels of radiographic and orthopaedic expertise and reduces the need for hand bone age radiographs and consequential radiation exposure in children. [Figure: see text][Figure: see text][Table: see text]

scholarly journals Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs

2020 ◽  
Vol 8 (7_suppl6) ◽  
pp. 2325967120S0045
Author(s):  
Blake Meza ◽  
Scott LaValva ◽  
Julien Aoyama ◽  
Christopher DeFrancesco ◽  
Brendan Striano ◽  
...  
Keyword(s):  
Skeletal Maturity ◽  
Intraclass Correlation ◽  
Age Determination ◽  
Bone Age ◽  
Observer Agreement ◽  
Knee Mri ◽  
Novel Method ◽  
Absolute Agreement ◽  
Level Of Training ◽  
Attending Physicians

Objectives: Determining bone age in skeletally immature patients is critical for proper management and surgical planning. Pennock et al. recently created and validated a bone age atlas using the ossification pattern of the knee on MRI in pediatric patients, obfuscating the need for a hand radiograph and its associated cost, radiation exposure, and clinical inefficiency. This aim of this study was to create and validate a shorthand method of bone age determination using knee MRI. Methods: We identified patients who underwent both knee MRI and hand bone age radiograph within a ninety-day period. From the findings of Pennock et al., a stepwise algorithm for predicting bone age on knee MRI was developed for males and females separately, in collaboration with a pediatric musculoskeletal radiologist. Six raters at varying levels of training used the algorithm to assign a bone age to each knee MRI. Intraclass correlation coefficient (ICC) was used to compare each rater’s predicted knee bone age to the Greulich and Pyle (G&P) hand bone age and validate the shorthand algorithm. Inter- (two-way random, absolute agreement) and intra-rater (two-way mixed, absolute agreement ) reliability were also calculated using ICC. Results: Thirty-eight patients (44.7% females) underwent a knee MRI at a mean age of 12.8 years (range 9.3-15.7). The mean time between hand bone age x-ray and knee MRI was 20.2 days (range 0-88). The inter-rater reliability for the application of our shorthand algorithm was 0.81 (95% CI: 0.72 – 0.88), indicating good inter-observer agreement. The shorthand algorithm was also shown to be a reliable predictor of hand bone age across level of training, as medical students (ICC 0.77, 95% CI 0.60-0.88), residents (ICC 0.80, 95% CI 0.65-0.89), and attending physicians (ICC 0.80, 95% CI 0.63-0.89) all achieved strong correlation between predicted knee bone age and G&P hand bone age. All respondents also demonstrated consistency, with intra-rater ICCs between 0.85-0.93. Conclusion: This shorthand algorithm is a consistent, reliable and valid way to determine skeletal maturity using knee MRI in patients aged 10 to 15 and can be utilized across different levels of orthopaedic and radiographic expertise. We believe this method is readily applicable in a clinical setting and may reduce the need for routine hand bone age radiographs. [Figure: see text][Table: see text]

scholarly journals A Novel Shorthand Approach to Knee Bone Age Using MRI: A Validation and Reliability Study

2021 ◽  
Vol 9 (8) ◽  
pp. 232596712110215
Author(s):  
Blake C. Meza ◽  
Scott M. LaValva ◽  
Julien T. Aoyama ◽  
Christopher J. DeFrancesco ◽  
Brendan M. Striano ◽  
...  
Keyword(s):  
Skeletal Maturity ◽  
Intraclass Correlation ◽  
Age Determination ◽  
Correlation Coefficients ◽  
Bone Age ◽  
Intrarater Reliability ◽  
Level Of Evidence ◽  
Knee Mri ◽  
Level Of Training ◽  
Magnetic Resonance Imaging Mri

Background: Bone-age determination remains a difficult process. An atlas for bone age has been created from knee-ossification patterns on magnetic resonance imaging (MRI), thereby avoiding the need for radiographs and associated costs, radiation exposure, and clinical inefficiency. Shorthand methods for bone age can be less time-consuming and require less extensive training as compared with conventional methods. Purpose: To create and validate a novel shorthand algorithm for bone age based on knee MRIs that could correlate with conventional hand bone age and demonstrate reliability across medical trainees. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: Included in this study were adolescent patients who underwent both knee MRI and hand bone age radiographs within 90 days between 2009 and 2018. A stepwise algorithm for predicting bone age using knee MRI was developed separately for male and female patients, and 7 raters at varying levels of training used the algorithm to determine the bone age for each MRI. The shorthand algorithm was validated using Spearman rho ( rS) to correlate each rater’s predicted MRI bone age with the recorded Greulich and Pyle (G&P) hand bone age. Interrater and intrarater reliability were also calculated using intraclass correlation coefficients (ICCs). Results: A total of 38 patients (44.7% female) underwent imaging at a mean age of 12.8 years (range, 9.3-15.7 years). Shorthand knee MRI bone age scores were strongly correlated with G&P hand bone age ( rS = 0.83; P < .001). The shorthand algorithm was a valid predictor of G&P hand bone age regardless of level of training, as medical students ( rS = 0.75), residents ( rS = 0.81), and attending physicians ( rS = 0.84) performed similarly. The interrater reliability of our shorthand algorithm was 0.81 (95% CI, 0.73-0.88), indicating good to excellent interobserver agreement. Respondents also demonstrated consistency, with 6 of 7 raters demonstrating excellent intrarater reliability (median ICC, 0.86 [range, 0.68-0.96]). Conclusion: This shorthand algorithm is a consistent, reliable, and valid way to determine skeletal maturity using knee MRI in patients aged 9 to 16 years and can be utilized across different levels of orthopaedic and radiographic expertise. This method is readily applicable in a clinical setting and may reduce the need for routine hand bone age radiographs.

scholarly journals A comparison of 3 different methods for assessment of skeletal age when treating leg-length discrepancies: an inter- and intra-observer study

2022 ◽  
Vol 93 ◽  
pp. 222-228
Author(s):  
Anne Berg Breen ◽  
Harald Steen ◽  
Are Pripp ◽  
Ragnhild Gunderson ◽  
Hilde Kristine Sandberg Mentzoni ◽  
...  
Keyword(s):  
Skeletal Maturity ◽  
Intraclass Correlation ◽  
Age Determination ◽  
Bone Age ◽  
Systematic Difference ◽  
Skeletal Age ◽  
Leg Length ◽  
Left Elbow ◽  
Comparison Results ◽  
Significant Difference

Background and purpose — Skeletal maturity is a crucial parameter when calculating remaining growth in children. We compared 3 different methods, 2 manual and 1 automated, in the radiological assessment of bone age with respect to precision and systematic difference. Material and methods — 66 simultaneous examinations of the left hand and left elbow from children treated for leg-length discrepancies were randomly selected for skeletal age assessment. The radiographs were anonymized and assessed twice with at least 3 weeks’ interval according to the Greulich and Pyle (GP) and Sauvegrain (SG) methods by 5 radiologists with different levels of experience. The hand radiographs were also assessed for GP bone age by use of the automated BoneXpert (BX) method for comparison. Results — The inter-observer intraclass correlation coefficient (ICC) was 0.96 for the GP and 0.98 for the SG method. The inter- and intra-observer standard error of the measurement (SEm) was 0.41 and 0.32 years for the GP method and 0.27 and 0.21 years for the SG method with a significant difference (p < 0.001) between the methods and between the experienced and the less experienced radiologists for both methods (p = 0.003 and p < 0.001). In 25% of the assessments the discrepancy between the GP and the SG methodwas > 1 year. There was no systematic difference comparing either manual method with the automatic BX method. Interpretation — With respect to the precision of skeletal age determination, we recommend using the SG method or preferably the automated BX method based on GP assessments in the calculation of remaining growth.

Creation and Validation of a Shorthand Magnetic Resonance Imaging Bone Age Assessment Tool of the Knee as an Alternative Skeletal Maturity Assessment

2021 ◽  
pp. 036354652110329
Author(s):  
Cary S. Politzer ◽  
James D. Bomar ◽  
Hakan C. Pehlivan ◽  
Pradyumna Gurusamy ◽  
Eric W. Edmonds ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Skeletal Maturity ◽  
Bone Age ◽  
Mri Scan ◽  
Perfect Agreement ◽  
Age Assessment ◽  
Left Hand ◽  
Knee Mri ◽  
Bone Age Assessment ◽  
Hand Radiograph

Background: In managing pediatric knee conditions, an accurate bone age assessment is often critical for diagnostic, prognostic, and treatment purposes. Historically, the Greulich and Pyle atlas (hand atlas) has been the gold standard bone age assessment tool. In 2013, a shorthand bone age assessment tool based on this atlas (hand shorthand) was devised as a simpler and more efficient alternative. Recently, a knee magnetic resonance imaging (MRI) bone age atlas (MRI atlas) was created to circumvent the need for a left-hand radiograph. Purpose: To create a shorthand version of the knee MRI atlas. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: A shorthand bone age assessment method was created utilizing the previously published MRI atlas, which utilizes several criteria that are visualized across a series of images. The MRI shorthand draws on characteristic criteria for each age that are best observed on a single MRI scan. For validation, we performed a retrospective assessment of skeletally immature patients. One reader performed the bone age assessment using the MRI atlas and the MRI shorthand on 200 patients. Then, 4 readers performed the bone age assessment with the hand atlas, hand shorthand, MRI atlas, and MRI shorthand on a subset of 22 patients in a blinded fashion. All 22 patients had a knee MRI scan and a left-hand radiograph within 4 weeks of each other. Interobserver and intraobserver reliability, as well as variability among observers, were evaluated. Results: A total of 200 patients with a mean age of 13.5 years (range, 9.08-17.98 years) were included in this study. Also, 22 patients with a mean age of 13.3 years (range, 9.0-15.6 years) had a knee MRI scan and a left-hand radiograph within 4 weeks. The intraobserver and interobserver reliability of all 4 assessment tools were acceptable (intraclass correlation coefficient [ICC] ≥ 0.8; P < .001). When comparing the MRI shorthand with the MRI atlas, there was excellent agreement (ICC = 0.989), whereas the hand shorthand compared with the hand atlas had good agreement (ICC = 0.765). The MRI shorthand also had perfect agreement in 50% of readings among all 4 readers, and 95% of readings had agreement within 1 year, whereas the hand shorthand had perfect agreement in 32% of readings and 77% agreement within 1 year. Conclusion: The MRI shorthand is a simple and efficient means of assessing the skeletal maturity of adolescent patients with a knee MRI scan. This bone age assessment technique had interobserver and intraobserver reliability equivalent to or better than the standard method of utilizing a left-hand radiograph.

Is the location of the signal intensity weighted centroid a reliable measurement of fluid displacement within the disc?

2018 ◽  
Vol 63 (4) ◽  
pp. 453-460 ◽  
Author(s):  
Vahid Abdollah ◽  
Eric C. Parent ◽  
Michele C. Battié
Keyword(s):  
Signal Intensity ◽  
Water Distribution ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Region Of Interest ◽  
Rater Reliability ◽  
Fluid Displacement ◽  
Intraclass Correlation Coefficients ◽  
The Mean ◽  
Standard Error Of Measurement

Abstract Degenerated discs have shorter T2-relaxation time and lower MR signal. The location of the signal-intensity-weighted-centroid reflects the water distribution within a region-of-interest (ROI). This study compared the reliability of the location of the signal-intensity-weighted-centroid to mean signal intensity and area measurements. L4-L5 and L5-S1 discs were measured on 43 mid-sagittal T2-weighted 3T MRI images in adults with back pain. One rater analysed images twice and another once, blinded to measurements. Discs were semi-automatically segmented into a whole disc, nucleus, anterior and posterior annulus. The coordinates of the signal-intensity-weighted-centroid for all regions demonstrated excellent intraclass-correlation-coefficients for intra- (0.99–1.00) and inter-rater reliability (0.97–1.00). The standard error of measurement for the Y-coordinates of the signal-intensity-weighted-centroid for all ROIs were 0 at both levels and 0 to 2.7 mm for X-coordinates. The mean signal intensity and area for the whole disc and nucleus presented excellent intra-rater reliability with intraclass-correlation-coefficients from 0.93 to 1.00, and 0.92 to 1.00 for inter-rater reliability. The mean signal intensity and area had lower reliability for annulus ROIs, with intra-rater intraclass-correlation-coefficient from 0.5 to 0.76 and inter-rater from 0.33 to 0.58. The location of the signal-intensity-weighted-centroid is a reliable biomarker for investigating the effects of disc interventions.

scholarly journals Ossification of the phalanges of the foot and its relationship to peak height velocity and the calcaneal system

2018 ◽  
Vol 12 (1) ◽  
pp. 84-90 ◽  
Author(s):  
M. R. Garcia ◽  
A. D. Nicholson ◽  
A. M. Nduaguba ◽  
J. O. Sanders ◽  
R. W. Liu ◽  
...  
Keyword(s):  
Skeletal Maturity ◽  
Strong Association ◽  
Intraclass Correlation ◽  
Bone Age ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Guided Growth ◽  
Significant Difference ◽  
Stage System

Purpose There are multiple skeletal maturity grading systems, but none of them utilizes the phalanges of the foot. To minimize radiation, it would be ideal if one could assess the skeletal maturity of a foot based on bones seen on routine foot radiographs, if guided growth is being considered as a treatment option. We developed a system that correlates changes of the appearance of the foot phalanges to peak height velocity (PHV) and the recently described calcaneal apophyseal ossification grading system. Methods We selected 94 children from the Bolton-Brush study, each with consecutive radiographs from age ten to 15 years old. Using the anteroposterior view, we analyzed the ossification patterns of the phalanges and developed a six-stage system. We then determined the PHV for each subject and defined its relationship with our system. Our system was then compared with the previously established calcaneal system. Results We calculated an Intraclass correlation coefficient (ICC) range of 0.957 to 0.985 with a mean of 0.975 and interclass reliability coefficient of 0.993 indicating that this method is reliable and consistent. Our system showed no significant difference between gender with respect to PHV, which makes it a reliable surrogate for determining bone age in paediatric and adolescent patients. Conclusions Our system has a strong association with the calcaneal system. It is a simple six-stage system that is reliable and correlated more strongly with PHV than chronological age. The system requires knowledge of the ossification markers used for each stage but is easily used in a clinical setting.

INTRA-RATER AND INTER-RATER RELIABILITY STUDY OF A MEASUREMENT METHOD FOR THE PATHWAY OF THE SUPRASPINATUS INTRAMUSCULAR TENDON BY 3.0 TESLA MRI IMAGES: THE SHEAR FORCE ANGLE ANTERIOR POSTERIOR

2018 ◽  
Vol 21 (02) ◽  
pp. 1850009
Author(s):  
Yohei Kanno ◽  
Hajime Toda ◽  
Tsutomu Horiuchi ◽  
Masaki Katayose
Keyword(s):  
Shear Force ◽  
Measurement Method ◽  
Intraclass Correlation ◽  
Three Dimensional ◽  
3D Models ◽  
Minimal Detectable Change ◽  
3.0 Tesla ◽  
Rater Reliability ◽  
The Mean ◽  
Anterior Posterior

Objective: The aim of this study was to establish intra-rater and inter-rater reliability of a measurement method for the pathway of the supraspinatus intramuscular tendon by 3.0 tesla MRI images. Methods: The scapula and intramuscular tendon extraction DICOM data was made to extract only a scapula domain and intramuscular tendon domain. The shear force angle anterior posterior (SFA-AP) was measured as the pathway of supraspinatus intramuscular tendon with respect to the glenoid plane on three-dimensional (3D) models of the bone and intramuscular tendon. SFA-AP of supraspinatus was measured on 3D models of the bone and intramuscular tendon. The mean and standard deviation of SFA-AP of supraspinatus was calculated. Intra-rater reliability and inter-rater reliability were evaluated by the intraclass correlation coefficient (ICC), the standard error of the mean (SEM) and the minimal detectable change (MDC). Inter-rater reliability was evaluated by three raters. Results: As for intra-rater reliability, SFA-AP of supraspinatus measured averaged [Formula: see text], with ICC (1,1) of 0.978, with ICC (1,3) of 0.993, with SEM of 0.53, with MDC of 1.46[Formula: see text]. As for inter-rater reliability, SFA-AP of supraspinatus measured averaged [Formula: see text] (rater1), SFA-AP measured averaged [Formula: see text] (rater2), SFA-AP measured averaged [Formula: see text] (rater3), with ICC (2,1) of 0.896, with ICC (2,3) of 0.963, with SEM of 1.11, with MDC of 3.09[Formula: see text]. Conclusions: 3D models of the bone and intramuscular tendon were evaluated as intra-rater and inter-rater reliabilities. SFA-AP of supraspinatus is guaranteed by one measurement.

scholarly journals Adult height prediction by bone age determination in children with isolated growth hormone deficiency

2020 ◽  
Vol 9 (5) ◽  
pp. 370-378
Author(s):  
Thomas Reinehr ◽  
Martin Carlsson ◽  
Dionisios Chrysis ◽  
Cecilia Camacho-Hübner
Keyword(s):  
Growth Hormone ◽  
Growth Hormone Deficiency ◽  
Adult Height ◽  
Age Determination ◽  
Bone Age ◽  
Hormone Deficiency ◽  
Gh Treatment ◽  
Height Prediction ◽  
The Mean ◽  
Tw2 Method

Background The precision of adult height prediction by bone age determination in children with idiopathic growth hormone deficiency (IGHD) is unknown. Methods The near adult height (NAH) of patients with IGHD in the KIGS database was compared retrospectively to adult height prediction calculated by the Bayley–Pinneau (BP) prediction based on bone age by Greulich–Pyle (GP) in 315 children and based on the Tanner-Whitehouse 2 (TW2) method in 121 children. Multiple linear regression analyses adjusted for age at GH start, age at puberty, mean dose and years of of GH treatment, and maximum GH peak in stimulation test were calculated. Results The mean underestimation of adult height based on the BP method was at baseline 4.1 ± 0.7 cm in girls and 6.1 ± 0.6 cm in boys, at 1 year of GH treatment 2.5 ± 0.5 cm in girls and 0.9 ± 0.4 cm in boys, while at last bone age determination adult height was overestimated in mean by 0.4 ± 0.6 cm in girls and 3.8 ± 0.5 cm in boys. The mean underestimation of adult height based on the TW2 method was at baseline 5.3 ± 2.0 cm in girls and 7.9 ± 0.8 cm in boys, at 1 year of GH treatment adult height was overestimated in girls 0.1 ± 0.6 cm in girls and underestimated 4.1 ± 0.4 cm in boys, while at last bone age determination adult height was overestimated in mean by 3.1 ± 1.5 cm in girls and 3.6 ± 0.8 cm in boys. Conclusions Height prediction by BP and TW2 at onset of GH treatment underestimates adult height in prepubertal IGHD children, while in mean 6 years after onset of GH treatment these prediction methods overestimated adult height.

scholarly journals Probing an AI regression model for hand bone age determination using gradient-based saliency mapping

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhiyue J. Wang
Keyword(s):  
Regression Model ◽  
Age Determination ◽  
Holistic Approach ◽  
Bone Age ◽  
Saliency Map ◽  
Input Image ◽  
Metacarpal Bones ◽  
Gradient Based ◽  
The Mean ◽  
Insight Into

AbstractUnderstanding how a neural network makes decisions holds significant value for users. For this reason, gradient-based saliency mapping was tested on an artificial intelligence (AI) regression model for determining hand bone age from X-ray radiographs. The partial derivative (PD) of the inferred age with respect to input image intensity at each pixel served as a saliency marker to find sensitive areas contributing to the outcome. The mean of the absolute PD values was calculated for five anatomical regions of interest, and one hundred test images were evaluated with this procedure. The PD maps suggested that the AI model employed a holistic approach in determining hand bone age, with the wrist area being the most important at early ages. However, this importance decreased with increasing age. The middle section of the metacarpal bones was the least important area for bone age determination. The muscular region between the first and second metacarpal bones also exhibited high PD values but contained no bone age information, suggesting a region of vulnerability in age determination. An end-to-end gradient-based saliency map can be obtained from a black box regression AI model and provide insight into how the model makes decisions.

scholarly journals Inter-rater reliability of a newly developed gait analysis and motion score

2020 ◽  
pp. 221049172096736
Author(s):  
Christina Dürregger ◽  
Klemens A Adamer ◽  
Michael Pirchl ◽  
Michael J Fischer
Keyword(s):  
Clinical Practice ◽  
Gait Analysis ◽  
Clinical Training ◽  
Assessment Tool ◽  
Intraclass Correlation ◽  
Rater Reliability ◽  
Gait Patterns ◽  
Orthopedic Rehabilitation ◽  
The Mean ◽  
Rating Agreement

Background: Gait analysis constitutes an essential part of orthopedic rehabilitation assessment. Previous studies indicate that observational-based gait analysis lacks reliability and requires extensive clinical training. Therefore, gait analysis in the clinical practice heavily relies on technical aids. The aim of the present study is to develop a reliable gait analysis assessment tool that can accurately assess clinically relevant gait cycle parameters in daily clinical practice. Methods: In this pilot study, a new gait analysis and motion score (GAMS), comprising 10 observational and 5 technically measured (e.g. pressure plate) gait parameters, was developed. The parameters were dichotomously operationalized, reflecting pathological versus physiological manifestations of the parameters. The rating algorithm was administered by 12 raters using videotaped treadmill sessions of 10 orthopedic subjects ( n = 120 ratings). Inter-rater reliability was calculated using the intraclass correlation coefficient (ICC) and the percentage of rating agreement. Results: The mean (standard deviation (SD)) GAMS ratings ranged from 10.0 (1.1) to 21.5 (1.3) points. The overall GAMS ICC was 0.98 (95% confidence interval (CI) 0.96–1.00), whereas the ICC of observational parameters alone was 0.97 (95% CI 0.93–0.99). The mean (SD) percentage of rating agreement was 86.1% (3.3%). For the observational parameters, the mean (SD) rating agreement was 82.5% (4.5%). Conclusion: This new GAMS shows excellent overall inter-rater reliability for a continuum of functional gait statuses. The new score may be an appropriate clinical tool to objectively evaluate patients’ gait patterns. Furthermore, the GAMS may find application as a clinician-reported outcome measure in orthopedic rehabilitation. Further studies are required to verify the validity and accuracy of the new GAMS and its functionality in assessing clinical changes in gait patterns.

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