Scoliosis

Correlation of anterior chest wall anomalies and spinal deformities: a comprehensive descriptive study

PURPOSE

To investigate the association and evaluate the characteristics between different types of anterior chest wall and spinal deformities.

METHODS

A total of 548 patients with anterior chest wall deformities were included in this study. Clinical and radiological examinations were performed to determine spinal deformities. The type and severity of the spinal deformities were evaluated and their relationships with chest wall deformity subtypes were statistically analyzed.

RESULTS

Spinal deformities were identified in 93 (16.97%) patients. The patients were subdivided into 71 (76.3%) male and 22 (23.7%) female patients. A spinal deformity was detected in 57 (13%) of 418 pectus excavatum (PE) patients, in 23 (19%) of 117 pectus carinatum (PC) patients, and in all patients with mixed pectus deformity (PE + PC), syndromic deformity and rib anomalies. In the PE group, scoliosis, and kyphosis were observed at 57.9 and 31.6%, respectively. In the PC group, these rates were 43.5 and 47.8%, respectively. Idiopathic scoliosis was observed in 42 (77.7%) and constituted the most common scoliosis subgroup. The main thoracic curvature was the most common curve pattern, which was observed in 15 (35.7%) patients with idiopathic scoliosis.

CONCLUSIONS

Idiopathic scoliosis with main thoracic curvature is the most common deformity in patients with anterior chest wall deformity. Spinal deformities are more common in male patients with chest deformities. Kyphosis is found in a significant number of PE and PC patients. Patients with mixed PE and PC, rib anomalies, and syndromic disease are more likely to have spinal deformities.

Radiographic Analysis of Scoliosis Using Convolutional Neural Network in Clinical Practice

Purpose

To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times.

Materials and Methods

ACAM was applied to spine radiographs in 411 patients suspected of scoliosis. Observer 1 (consensus of two musculoskeletal radiologists) and observer 2 (a radiology resident) measured Cobb angle (CA). CA measurements were categorized using observer 1's measurements as the reference standard. Inter-observer reliability and correlation were assessed using intraclass correlation coefficient (ICC) and Spearman's rank correlation coefficient, respectively. Accuracy and measurement time of ACAM and observers were evaluated.

Results

ACAM demonstrated excellent reliability and very high correlation with observer 1 (ICC = 0.976, Spearman's rank correlation = 0.948), with a mean CA difference of 1.1. Overall accuracy was high (88.2%), particularly in mild (92.2%) and moderate (96%) scoliosis. Accuracy was lower in spinal asymmetry (77.1%) and higher in severe scoliosis (95%), although the CA was lower compared to the observers. ACAM significantly reduced measurement time by nearly half compared to the observers (p < 0.001).

Conclusion

ACAM using CNN enhances CA measurement for assessing mild or moderate scoliosis, despite limitations in spinal asymmetry or severe scoliosis. Nonetheless, it substantially decreases measurement time.

Validity and accuracy of automatic cobb angle measurement on 3D spinal ultrasonographs for children with adolescent idiopathic scoliosis: SOSORT 2024 award winner

PURPOSE

Ultrasonography for scoliosis is a novel imaging method that does not expose children with adolescent idiopathic scoliosis (AIS) to radiation. A single ultrasound scan provides 3D spinal views directly. However, measuring ultrasonograph parameters is challenging, time-consuming, and requires considerable training. This study aimed to validate a machine learning method to measure the coronal curve angle on ultrasonographs automatically.

METHODS

A total of 144 3D spinal ultrasonographs were extracted to train and validate a machine learning model. Among the 144 images, 70 were used for training, and 74 consisted of 144 curves for testing. Automatic coronal curve angle measurements were validated by comparing them with manual measurements performed by an experienced rater. The inter-method intraclass correlation coefficient (ICC2,1), standard error of measurement (SEM), and percentage of measurements within clinical acceptance (≤ 5°) were analyzed.

RESULTS

The automatic method detected 125/144 manually measured curves. The averages of the 125 manual and automatic coronal curve angle measurements were 22.4 ± 8.0° and 22.9 ± 8.7°, respectively. Good reliability was achieved with ICC2,1 = 0.81 and SEM = 1.4°. A total of 75% (94/125) of the measurements were within clinical acceptance. The average measurement time per ultrasonograph was 36 ± 7 s. Additionally, the algorithm displayed the predicted centers of laminae to illustrate the measurement.

CONCLUSION

The automatic algorithm measured the coronal curve angle with moderate accuracy but good reliability. The algorithm's quick measurement time and interpretability can make ultrasound a more accessible imaging method for children with AIS. However, further improvements are needed to bring the method to clinical use.

Translation, Transcultural Adaptation, and Validation of the Brazilian Portuguese Version of the Body Image Disturbance Questionnaire for Scoliosis (BR-BIDQ-S)

Objective  The Body Image Disturbance Questionnaire for Scoliosis (BIDQ-S) for scoliosis derives from the Body Image Disturbance Questionnaire (BIDQ) with specific adaptation for scoliosis patients. Despite its significance and applicability, this instrument has never been translated into Brazilian Portuguese. The current study aimed to translate, transculturally adapt, and validate the BIDQ-S into Brazilian Portuguese. Methods  BIDQ-S was translated and culturally adapted into Brazilian Portuguese using the American Association of Orthopedic Surgeons (AAOS) criteria. The questionnaire validation relied on internal consistency and comparison with the Cobb angle, Pediatric Quality of Life Inventory (PedsQL), and Scoliosis Research Society (SRS-22). The Brazilian version (BR-)BIDQ-S validation occurred in a sample of 35 adolescents with scoliosis waiting for specialized treatment. Results  Internal consistency of the BR-BIDQ-S was 0.899 according to the Cronbach's index (i.e., virtually perfect). Although BR-BIDQ-S did not correlate with the Cobb angle, it presented correlations with the Physical, Emotional, and Social domains from the PedsQL and the Function/Activity domain from the SRS-22. Conclusion  BR-BIDQ-S was reliable in evaluating the body image of adolescents with scoliosis, presenting an internal consistency of 0,899 (virtually perfect). Moreover, similar to the original instrument, it correlated with PedsQL and SRS-22.

Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis

BACKGROUND

Accurately measuring the Cobb angle on radiographs is crucial for diagnosis and treatment decisions for adolescent idiopathic scoliosis (AIS). However, manual Cobb angle measurement is time-consuming and subject to measurement variation, especially for inexperienced clinicians.

AIM

This study aimed to validate a novel artificial-intelligence-based (AI) algorithm that automatically measures the Cobb angle on radiographs.

DESIGN

This is a retrospective cross-sectional study.

SETTING

The population of patients attended the Stollery Children's Hospital in Alberta, Canada.

POPULATION

Children who: 1) were diagnosed with AIS, 2) were aged between 10 and 18 years old, 3) had no prior surgery, and 4) had a radiograph out of brace, were enrolled.

METHODS

A total of 330 spinal radiographs were used. Among those, 130 were used for AI model development and 200 were used for measurement validation. Automatic Cobb angle measurements were validated by comparing them with manual ones measured by a rater with 20+ years of experience. Analysis was performed using the standard error of measurement (SEM), inter-method intraclass correlation coefficient (ICC2,1), and percentage of measurements within clinical acceptance (≤5°). Subgroup analysis was conducted by severity, region, and X-ray system to identify any systematic biases.

RESULTS

The AI method detected 346 of 352 manually measured curves (mean±standard deviation: 24.7±9.5°), achieving 91% (316/346) of measurements within clinical acceptance. Excellent reliability was obtained with 0.92 ICC and 0.79° SEM. Comparable performance was found throughout all subgroups, and no systematic biases in performance affecting any subgroup were discovered. The algorithm measured each radiograph approximately 18s on average which is slightly faster than the estimated measurement time of an experienced rater. Radiographs taken by the EOS X-ray system were measured more quickly on average than those taken by a conventional digital X-ray system (10s vs. 26s).

CONCLUSIONS

An AI-based algorithm was developed to measure the Cobb angle automatically on radiographs and yielded reliable measurements quickly. The algorithm provides detailed images on how the angles were measured, providing interpretability that can give clinicians confidence in the measurements.

CLINICAL REHABILITATION IMPACT

Employing the algorithm in practice could streamline clinical workflow and optimize measurement accuracy and speed in order to inform AIS treatment decisions.

The Adolescent Spine

Adolescent idiopathic scoliosis (AIS) is the most characteristic disorder of the adolescent spine. It is a three-dimensional (3D) disorder that occurs from 10 years of age and comprises 90% of all idiopathic scolioses. Imaging plays a central role in the diagnosis and follow-up of patients with AIS. Modern imaging offers 3D assessment of scoliosis with less radiation exposure. Imaging helps rule out occult conditions that cause spinal deformity. Various imaging methods are also used to assess skeletal maturity in patients with AIS, thus determining the growth spurt and risk of progression of scoliosis. This article provides a brief overview of the pathophysiology, biomechanics, clinical features, and modern imaging of AIS relevant to radiologists in clinical settings.

Coronal deformity angular ratio as a predictive factor for in-brace curve correction and long-term outcome of brace treatment in adolescents with idiopathic scoliosis

PURPOSE

To investigate the relationship between coronal deformity angular ratio (C-DAR) and in-brace correction (IBC) and their role in predicting the long-term bracing outcome in adolescents with idiopathic scoliosis (AIS).

METHODS

In this retrospective multicenter study, the patient's sex, age, primary curve Cobb angle (at initiation of brace treatment, best in-brace, before spinal fusion, and final follow-up), curve pattern, duration of brace treatment, brace type, and C-DAR at initiation of bracing were recorded. The C-DAR values were classified as < 5, 5 ≤ to ≤ 6, and > 6. The IBC values were classified as ≥ 50%, 40% ≤ to ≤ 49%, and < 40%. We classified the patients into two groups of success and failure according to the Cobb angle at the final follow-up.

RESULTS

A total of 164 patients (25 boys and 119 girls) were included. Bracing was successful in 60.4% of them. There was a significant association between C-DAR and bracing outcome (p < 0.0001). 63.9% of the patients with C-DAR < 5 had an IBC ≥ 50%. However, when C-DAR was 5 ≤ to ≤ 6 and > 6, 29.2% and 16.9% of the patients had an IBC of ≥ 50%, respectively. For patients with IBC ≥ 50%, the success rate of bracing was 89.2%. Results of logistic regression analysis revealed that the strongest predictor for brace treatment outcome was the C-DAR, with an odds ratio of 2.11.

CONCLUSION

C-DAR may be used as a predictive factor for the long-term outcome of brace treatment in AIS.

LEVEL OF EVIDENCE

IV.

Assessment of reliability and validity of the adapted Persian version of the Spinal Appearance Questionnaire in adolescents with idiopathic scoliosis

PURPOSE

This study investigates the reliability and validity of the adapted Persian version of the Spinal Appearance Questionnaire (P-SAQ).

METHODS

The stages of cross-cultural adaptation were conducted according to an internationally accepted guidelines. Reliability of the P-SAQ was measured by evaluating internal consistency and test-retest reproducibility using Cronbach's α and intraclass correlation coefficient (ICC). Validity of the P-SAQ was assessed by factor analysis, and convergent and known-groups validities. Convergent validity was assessed through participant response on the P-SAQ and the revised 22-item Persian version of the Scoliosis Research Society (SRS-22r) questionnaire. Known-groups validity was assessed by comparing the P-SAQ scores according to the patients curve magnitude and treatment type.

RESULTS

A total of 106 patients with a diagnosis of adolescent idiopathic scoliosis (AIS) were included. The P-SAQ demonstrated an acceptable internal consistency with a Cronbach's α of 0.77 (range 0.65-0.72). The test-retest reliability was excellent (range ICC 0.85-0.98). There was a correlation between the total score, average scores of the general, curve, rib prominence, kyphosis, and trunk shift subscales of the P-SAQ and subtotal and total scores of the SRS-22r, r = - 0.2 to - 0.4, p < 0.05. The P-SAQ discriminated between patients with differing Cobb angle magnitudes and treatment types (p < 0.01). Factor analysis supported the use of the appearance and expectations items as separate scales for the P-SAQ.

CONCLUSION

The P-SAQ is a valid and reliable tool that could be utilized to evaluate the perception of appearance for Persian-speaking AIS patients with different curve magnitude and treatment strategies.

LEVEL OF EVIDENCE

Level I- diagnostic studies.

Convolutional Neural Network to Segment Laminae on 3D Ultrasound Spinal Images to Assist Cobb Angle Measurement

A recent innovation in scoliosis monitoring is the use of ultrasonography, which provides true 3D information in one scan and does not emit ionizing radiation. Measuring the severity of scoliosis on ultrasonographs requires identifying lamina pairs on the most tilted vertebrae, which is difficult and time-consuming. To expedite and automate measurement steps, this paper detailed an automatic convolutional neural network-based algorithm for identifying the laminae on 3D ultrasonographs. The predicted laminae were manually paired to measure the lateral spinal curvature on the coronal view, called the Cobb angle. In total, 130 spinal ultrasonographs of adolescents with idiopathic scoliosis recruited from a scoliosis clinic were selected, with 70 for training and 60 for testing. Data augmentation increased the effective training set size to 140 ultrasonographs. Semi-automatic Cobb measurements were compared to manual measurements on the same ultrasonographs. The semi-automatic measurements demonstrated good inter-method reliability (ICC_3,1 = 0.87) and performed better on thoracic (ICC_3,1 = 0.91) than lumbar curves (ICC_3,1 = 0.81). The mean absolute difference and standard deviation between semi-automatic and manual was 3.6° ± 3.0°. In conclusion, the semi-automatic method to measure the Cobb angle on ultrasonographs is feasible and accurate. This is the first algorithm that automates steps of Cobb angle measurement on ultrasonographs.

Common Pediatric Musculoskeletal Issues

This article reviews injuries encountered in active pediatric patients and discusses common presentations, diagnostic criteria, treatment modalities, and prevention. An emphasis is placed on overuse injuries, including a review of physeal and apophyseal injuries encountered in skeletally immature, active patients as well as back disorders often encountered in adolescents. This article is not meant to be comprehensive, but it offers directions for management of these patients in the outpatient primary care setting.

Preoperative and Postoperative Imaging in Idiopathic Scoliosis: What the Surgeon Wants to Know

The term idiopathic scoliosis covers a broad spectrum of spinal deformities in the pediatric population without an underlying congenital anomaly of the spine. Depending on the age of presentation, it has both characteristic clinical and imaging features and a different prognosis. The radiologist should provide the surgeon with critical information to assess the degree of deformity and eventually plan surgery. Thoracic deformities and lung volume must also be part of the preoperative assessment. Imaging has a critical role in postsurgical follow-up and in surgical complications. This review highlights the importance of common terminology and measurement methods to avoid incongruences. The different imaging modalities are discussed with their indications and limitations. We pay special attention to imaging modalities that can help the surgeon assess skeletal maturation reliably and thus predict the prognosis of scoliosis. Radiation protection and the risk of cumulative radiation exposure in these patients is emphasized.

Accuracy on the preoperative assessment of patients with adolescent idiopathic scoliosis using biplanar low-dose stereoradiography: a comparison with computed tomography

BACKGROUND

Although computed tomography (CT) is commonly used to diagnose the scoliotic spine in patients with adolescent idiopathic scoliosis (AIS) preoperatively, it is limited by the high radiation and prone scanning position. Recently, a new biplanar stereoradiography (EOS) was used to image the scoliotic spine in an upright posture with significantly less radiation in non-severe AIS subjects. However, its reliability to assess preoperative AIS patients remains unreported. Hence, the purpose of this study is to compare the scoliotic curvature between prone (CT) and upright positions (EOS) in preoperative AIS patients.

METHODS

Thirty-three pre-operative AIS patients (mean age:18.4 ± 4.2) were recruited. EOS was used to scan the whole thoracic spine at upright position. Whereas on the same day, a conventional CT scan was used to evaluate the spine in prone position. The three-dimensional reconstruction of EOS and CT of the spine were then generated. Using previous validated techniques, multiple scoliotic parameters in both modalities were determined. The agreement between the two modalities was compared using the Bland-Altman test, whereas the correlation was assessed by the intraclass correlation coefficient (ICC).

RESULTS

The mean ICC (prone and upright) of intra-rater/inter-rater reliabilities for the measured parameters were 0.985,0.961/0.969,0.903, respectively. Thoracic Cobb angles, intervertebral wedging and lumbar lordosis correlated significantly between upright EOS imaging radiographs (62.9 ± 9.3°,6.4 ± 2.9° and 48.8 ± 12.4°) and prone CT (47.3 ± 10.0°,5.8 ± 2.7° and 27.9 ± 11.4°; P < 0.001). The apical vertebral wedging and apical intervertebral disc wedging showed a good correlation among the two modalities (upright, 6.5 ± 3.5° and 6.4 ± 2.9°; prone, 6.5 ± 3.6° and 5.8 ± 2.7°; R2 ≥ 0.94; P < 0.01). Similarly, there was significant correlation in apical intervertebral rotation (R2 = 0.834; P < 0.01) between the prone CT (3.4 ± 3.0°) and upright EOS (3.8 ± 3.2°). In addition, the Cobb angle was significantly larger in upright EOS (62.9 ± 9.3°) than in prone CT (47.3 ± 10.0°, P < 0.01) position. There was significant underestimation on scoliotic severity in the prone position when compared with upright position.

CONCLUSIONS

Importantly, the image acquisition and reconstruction from EOS can better provide accurate three-dimensional spinal representations of the scoliotic curvature in preoperative AIS patients. Moreover, our findings suggested that scoliotic curvatures in preoperative AIS patients can be largely represented by both imaging modalities despite the difference in body positioning.

Factors influencing spinal curvature measurements on ultrasound images for children with adolescent idiopathic scoliosis (AIS)

The measurements of spinal curvatures using the ultrasound (US) imaging method on children with scoliosis have been comparable with radiography. However, factors influencing the reliability and accuracy of US measurement have not been studied. The purpose of this study is to investigate the effects of curve features and patients' demographics on US measurements and to determine which factors influence the reliability and accuracy. Two hundred children with scoliosis were recruited and scanned with US by one experienced operator and three trainees. One experienced rater measured the proxy Cobb angles from US images twice one week apart and compared the results with clinical radiographic records. The correlation and accuracy between the US and radiographic measurements were subdivided by different curve severities, curve types, subjects' weight status and US acquisition experiences. A total of 326 and 313 curves were recognized from radiographs and US images, respectively. The mean Cobb angles of the 13 missing curves were 17.4±7.4° and 11 at the thoracic region. Among the 16 curves showing large discrepancy (≥6°) between US and radiographic measurements, 7 were main thoracic and 6 were lumbar curves. Twelve had axial vertebral rotation (AVR) greater than 8°. The US scans performed by the experienced operator showed fewer large discrepancy curves, smaller difference and higher correlation than the scans from the trainees (3%, 1.7±1.5°, 0.95 vs 6%, 2.4±1.8°, 0.90). Only 4% missing and 5% large discrepancy curves were demonstrated for US measurements in comparison to radiography. The missing curves were mainly caused by small severity and in the upper spinal region. There was a higher chance of the large discrepancy curves in the main thoracic and lumbar regions with AVR>8°. A skilled operator acquired better US images and led to more accurate measurements especially for those subjects with larger curvatures, AVR and body mass index (BMI).

Perioperative complications after surgical treatment in degenerative adult de novo scoliosis

Background

Degenerative adult de novo (DAD) scoliosis appears characteristically in the sixth or seventh decade with symptoms of severe back pain and radiculopathy or spinal claudication. The aim of this study was to enhance the knowledge of perioperative complications and detect possible risk factors in this selective DAD scoliosis surgery.

Methods

This retrospective study included only patients with DAD scoliosis undergone correction spondylodesis with previous failure of conservative treatment. Excluded were patients with other types of scoliosis and previous fusion surgeries. Patient epidemiological data, medical comorbidities and treatments were included. Intraoperative data and perioperative complications were documented. Analyses regarding early, late and no complications were undertaken.

Results

A total of 92 patients with a mean age of 67.29 ± 7.93 years and clinical follow-up visits of minimum 12 months were included. On average, 5.26 ± 2.24 segments were fused. Early complications (e.g. wound healing defects, paresis, screw loosing) occurred in 23 patients and often required a re-operation. Cardiac arrhythmias, pacemaker and coumarin derivative therapies were associated with increased perioperative complications. The transforaminal lumbar interbody fusion technique was associated with early complications. Adjacent segment failure occurred in 36% and was the major late complication. Twenty patients did not have any complications in the minimum follow-up.

Conclusions

This study analysed a selective DAD scoliosis collective and its’ surgical treatment outcomes. It identified numerous perioperative complications (adjacent segment failure, postoperative paresis and epidural hematoma) and multiple possible predisposing risk factors (e.g. operative techniques and anti-coagulation therapies). This here gained information raises awareness in preoperative patient selection and preparation. Further studies in DAD scoliosis and a risk-adjusted patient selection/preparation are needed to improve treatment quality and outcomes.

Back pain and scoliosis in children: When to image, what to consider

Back pain and scoliosis in children most commonly present as benign and self-limited entities. However, persistent back pain and/or progressive scoliosis should always be taken seriously in children. Dedicated diagnostic work-up should exclude etiologies that may result in significant morbidity. Clinical evaluation and management require a comprehensive history and physical and neurological examination. A correct imaging approach is important to define a clear diagnosis and should be reserved for children with persistent symptoms or concerning clinical and laboratory findings. This article reviews the role of different imaging techniques in the diagnostic approach to back pain and scoliosis, and offers a comprehensive review of the main imaging findings associated with common and uncommon causes of back pain and scoliosis in the pediatric population.

German validation of the BIDQ-S questionnaire on body image disturbance in idiopathic scoliosis

PURPOSE

The Body Image Disturbance Questionnaire-Scoliosis (BIDQ-S) is a seven-item questionnaire inquiring into patients' worries about back shape and associated problems at school, at work, with friends or family, and whether the patients are avoiding certain activities. The aim of this study was to translate the BIDQ-S into German (G-BIDQ-S), test its reliability, and establish its convergent, divergent, concurrent, and discriminant validity.

METHODS

In a prospective cohort study, 259 patients with idiopathic scoliosis (mean age 30.2; 221 female; mean Cobb angle 43.8°) completed the G-BIDQ-S; Scoliosis Research Society 22-r (SRS 22-r); Patient Health Questionnaire (PHQ-9); Positive and Negative Affect Schedule (PANAS); Questionnaire on Body Dysmorphic Symptoms (FKS); and WHO-5 Well-Being Index. Healthy control individuals matched by age, sex and BMI (n = 149; mean age 36.1; 133 female; BMI = 23.0) answered the same questions to establish discriminant validity. Discriminant statistics, and Pearson and Spearman correlations were calculated.

RESULTS

The G-BIDQ-S proved to be one-factorial, internally consistent (Cronbach alpha = 0.87), and stable over time (total score 2.22 vs. 2.21 during retest; retest reliability r = 0.79, P < 0.001). It correlated significantly with the mean SRS 22-r (r = -0.72, P < 0.001) and with Cobb angles (r = 0.30, P < 0.001)-convergent validity; much less with body mass index (r = 0.19, P < 0.001)-divergent validity; and with the PANAS (r = 0.55, P < 0.001), PHQ-9 (r = 0.53, P < 0.001), FKS (r = 0.67, P < 0.001), and WHO-5 (r = -0.54, P < 0.001)-concurrent validity. The G-BIDQ-S also showed discriminant validity, with a strong difference between the scoliosis group (total score 2.19) and the control group (total score 1.13; P < 0.001).

CONCLUSIONS

The G-BIDQ-S showed good internal consistency, reliability, and convergent, divergent, concurrent, and discriminant validity. This questionnaire is the first one inquiring into patients' body image disturbances that has been validated and is available in German.

Raster-stereographic evaluation of the effects of biomechanical foot orthoses in patients with scoliosis

[Purpose] Little is known about the effects of biomechanical foot orthoses in scoliosis, as determined by raster stereography. The objective of this study was to investigate the effect of individually manufactured biomechanical foot orthoses on scoliosis angle, trunk imbalance, and pelvic obliquity by comparing them with general insoles by using DIERS formetric 4 dimensional in patients with scoliosis. [Subjects and Methods] Twenty-six patients with scoliosis were recruited at Yeungnam University Hospital and allocated equally to one of two groups, the biomechanical foot orthoses group or the control group. Parameters, such as, trunk rotation, imbalance, and scoliosis angle, were obtained using a DIERS formetric 4D. [Results] Scoliosis angle, pelvic obliquity, and trunk imbalance were significantly different between the two groups and improved in the biomechanical foot orthoses group with time, but no significant improvement in any parameter was observed in the control group. [Conclusion] Biomechanical foot orthoses could be effective in patients with scoliosis, and DIERS formetric 4D provides a useful method for evaluating scoliosis parameters.

The use of growth standards and corrective formulae to calculate the height loss caused by idiopathic scoliosis

BACKGROUND

Loss of trunk height caused by scoliosis has been previously assessed using different mathematical formulae. However, these are of differing algebraic construction and will give a range of values for the same size of scoliosis curve. As such, the following study attempted to determine the most valid published formulae for calculating height loss caused by idiopathic scoliosis based on reported growth charts.

METHODS

The height and sitting height for a group with idiopathic scoliosis were measured. These were plotted on published growth standards. The size of the coronal curves and the thoracic kyphosis was measured. Height was corrected for the size of the scoliosis using the formulae and replotted on the growth standards. The data spread on the standard was analysed for significant differences between the median and the 5th or 95th centile, and between data outside the 5th and 95th centile.

RESULTS

The sitting to standing height ratio growth standard was used in the analysis as it minimised errors across the different growth standards, given that these standards come from different original populations. In the female group significant differences in the data spread were seen using the formulae of Bjure, Ylikoski and Hwang. Non-significant results were seen for the Kono and Stokes formulae. All formulae caused no significant differences in data spread across the growth standard in the males group.

CONCLUSIONS

When assessing against growth standards, the formulae of Kono and Stokes are the most valid at determining height loss caused by idiopathic scoliosis.

Monitoring for idiopathic scoliosis curve progression using surface topography asymmetry analysis of the torso in adolescents

BACKGROUND CONTEXT

At first visit and each clinical follow-up session, patients with adolescent idiopathic scoliosis (AIS) undergo radiographic examination, from which the Cobb angle is measured. The cumulative exposure to X-ray radiation justifies efforts in developing noninvasive methods for scoliosis monitoring.

PURPOSE

To determine the capability of the three-dimensional markerless surface topography (ST) asymmetry analysis to detect ≥5° progression in the spinal curvature in patients with AIS over 1-year follow-up interval.

STUDY DESIGN/SETTING

Cross-sectional study in a specialized scoliosis clinic.

PATIENT SAMPLE

In this study, baseline and 1-year follow-up full torso ST scans of 100 patients with AIS were analyzed using three-dimensional markerless asymmetry analysis.

OUTCOME MEASURES

Patients with ΔCobb≥5° and ΔCobb<5° were categorized into progression and nonprogression groups, respectively.

METHODS

The ST scan of each full torso was analyzed to calculate the best plane of symmetry by minimizing the distances between the torso and its reflection about the plane of symmetry. Distance between the torso and its reflection was measured and displayed as deviation color maps. The difference of ST measurements between two successive acquisitions was used to determine if the scoliosis has progressed at least 5° or not. The classification tree technique was implemented using the local deformity of the torso in the thoracic-thoracolumbar (T-TL) and lumbar (L) regions to categorize curves into progression and nonprogression groups. The change in maximum deviation and root mean square of the deviations in the torso were the parameters effective in capturing the curve progression. Funding for this research is provided by the Scoliosis Research Society, and Women and Children's Health Research Institute.

RESULTS

The classification model detected 85.7% of the progression and 71.6% of the nonprogression cases. The resulting false-negative rate of 4% for T-TL curves, representing the proportion of undetected progressions, confirmed that the technique shows promise to monitor the progression of T-TL scoliosis curves. Although 100% L curves with progression were detected using the deviation color maps of the torsos, because of the small number of analyzed L curves, further research is needed before the efficiency of the method in capturing the L curves with progression is confirmed.

CONCLUSIONS

Using the developed classification tree for the patients analyzed in this study, 43% of nonprogression cases between two visits would not have to undergo an X-ray examination.

Diagnostic errors from digital stitching of scoliosis images - the importance of evaluating the source images prior to making a final diagnosis

BACKGROUND

Digital methods are used for scoliosis imaging. Separate images of the thoracic and lumbar/sacral spine are acquired. These are then stitched into a single image. This process has some potential disadvantages.

OBJECTIVE

To assess anatomical errors in digitally stitched scoliosis films.

MATERIALS AND METHODS

Eighty-six scoliosis studies were evaluated for stitching errors. The incidence of a stitching error resulting in an abnormality on the stitched image that could not be verified on the source images was calculated. Subgroups were analyzed based on the presence/absence of spinal hardware and standing/supine technique.

RESULTS

Fourteen exams (16%) had stitching errors that could result in a false diagnosis if not correlated with the source images. The majority were errors of vertebral alignment. There was no significant difference in error rate with the presence or absence of hardware (P = 0.73) or patient positioning (P = 0.34).

CONCLUSION

16% of digital scoliosis exams had stitching errors that could result in a false diagnosis. The error rate was not influenced by spinal hardware or patient positioning. These results stress the importance of correlating any abnormality on the stitched image with the exam's source images; if not, a false diagnosis of abnormality will be made.

Scoliosis in patients with Parkinson's disease

Background and purpose

Scoliosis is more common in patients with Parkinson's disease (PD) than in the general elderly population. We compared clinical characteristics between PD patients with and without scoliosis, to identify the relationship between the direction of scoliosis and the laterality of the dominant symptoms of PD. We also studied the associations between dopaminergic pharmacotherapy and scoliosis (defined by a spinal curvature deviation of 10° or larger).

Methods

The study population comprised 97 patients (42 men and 55 women) with idiopathic PD. All of the patients submitted to a whole-spine scanograph to allow measurement of the degree of scoliosis by Cobb's method.

Results

True scoliosis was found in 32 of the 97 PD patients, and was observed more frequently in women than in men (28 vs. 4, respectively; p=0.006). The age of patients without scoliosis was significantly lower than that of those with scoliosis (66.5±9.2 years vs. 72.8±7.3 years, respectively, mean±SD, p<0.001). There was no correlation between PD symptom laterality and scoliosis. The rate of occurrence of scoliosis did not differ between de novo and levodopa (L-dopa)-treated patients.

Conclusions

We suggest that neither L-dopa treatment nor the laterality of the initial symptoms of PD is related to the appearance of scoliosis.