Surgical Correction of Vertebral Axial Rotation in Adolescent Idiopathic Scoliosis

Aronsson, David D.; Stokes, Ian A. F.; Ronchetti, Peter J.; Richards, B. Stephens

doi:10.1097/00002517-199606000-00006

Cited by 43 publications

(28 citation statements)

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“…However, surgical planning remains difficult, as the parameters classically taken into account are bi-dimensional (based on X-ray projections) and of a static nature (CHEUNG and LUK, 1997;KLEINMAN et al, 1982;MASON et al, 1998;VAUGHAN et al, 1996;VEDANTAM et al, 2000). it seems reasonable to propose that surgical planning should take into account the deformity in each plane (ARONSSON et al, 1996;LENKE et al, 1998). Moreover, in the literature, there is rich information on the morphological and functional alterations of tnmk musculature in AID (AvIKAINEN et al, 1999;BYLUND et al, 1987;CHAN et al, 1999;FORD et al, 1984;GRAM and HASAN, 1999;GUTH et al, 1978;HOPF et al, 1998;HSU et al, 1988;KENNELLY and STOKES, 1993;KHOSLA et al, 1980;MANNION et al, 1998;MEIER et al, 1998;MOONEY et al, 2000;REUBEN et al, 1983;SAHGAL et al, 1983;YEKUTIEL et al, 1981 ;ZETTERBERG et al, 1983;.…”

Section: Rms Values" Of Apical Recording Sites" and Kinematics Lateramentioning

confidence: 99%

“…For pre-operative planning, this type of investigation can be used to assess curve flexibility and to determine fusion levels (KLEINMAN et al, 1982;VAUGHAN et al, 1996). However, the reliability of existing classification systems and the predictive value of lateral bending radiographs are questioned (ARONSSON et al, 1996;LENKE et al, 1998). Also, other criticisms are related to the fact that sagittal and transverse plane deformities may not be appropriately evaluated by this technique, where repeated ionising radiation is administered to young subjects in their growth period.…”

Section: Introductionmentioning

confidence: 99%

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Electromyogram and kinematic analysis of lateral bending in idiopathic scoliosis patients

Feipel¹,

Aubin

Ciolofan

et al. 2002

Med. Biol. Eng. Comput.

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In adolescent idiopathic scoliosis (AIS), surgical planning currently relies on spinal flexibility evaluation using lateral bending radiographs. The aim was to evaluate the feasibility of non-invasive dynamic analysis of trunk kinematics and muscle activity in patients with AIS before surgical correction. During various lateral trunk bending tasks, erector spinae (18 sites) and abdominal (four sites) muscle activity was sampled using surface electrodes in ten AIS patients and in ten controls. Simultaneously, the spatial displacements of infrared emitting diodes located on the trunk were sampled. Parameters considered were the heterolateral-to-homolateral root-mean-square EMG ratios R at each site and total lateral bending and thoracic and lumbar curvature angle courses. Main alterations concerned apical muscle activity during left bending tasks. ANOVA results showed a significant effect of side (p = 2.1 x 10(-9)), EMG recording site (p = 1.9 x 10(-16)), pathology (p = 3.9 x 10(-16)) and task (p = 2.2 x 10(-11)) on R ratios. The R ratio at T10 and L1 for a simple lateral bending task during left bending averaged 4.8 (SD 4.3) and 3.0 (SD 3.1) in AIS patients, and 2.3 (SD 2.8) and 1.3 (SD 0.4) in controls (p = 6.4 x 10(-4) and 2.5 x 10(-3), LSD post hoc). This preliminary study allowed the development of a functional, non-invasive, non-irradiating dynamic tool for pre-operative evaluation in AIS.

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Section: Rms Values" Of Apical Recording Sites" and Kinematics Lateramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electromyogram and kinematic analysis of lateral bending in idiopathic scoliosis patients

Feipel¹,

Aubin

Ciolofan

et al. 2002

Med. Biol. Eng. Comput.

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“…Until now, supine side-bending has been considered the standard method for curve assessment and surgical decision-making [9,15]. However, some authors have suggested that the correlation of preoperative supine sidebending radiographs and postoperative curve correction is suboptimal [16][17][18], especially as pedicle screw utilization has become increasingly popular. An additional disadvantage of supine side-bending imaging is that it is not standardized.…”

Section: Discussionmentioning

confidence: 99%

Coronal deformity correction in adolescent idiopathic scoliosis patients using the fulcrum-bending radiograph: a prospective comparative analysis of the proximal thoracic, main thoracic, and thoracolumbar/lumbar curves

Dumonski

Samartzis

et al. 2010

Eur Spine J

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The aim of the prospective, comparative radiographic analysis was to determine the role of the fulcrum-bending radiograph (FBR) for the assessment of the proximal thoracic (PT), main thoracic (MT), and the thoracolumbar/lumbar (TL/L) curves in patients undergoing posterior spinal pedicle screw fixation and fusion for adolescent idiopathic scoliosis (AIS). The FBR demonstrated statistically better correction than other preoperative methods for the assessment of frontal plane correction of the MT curves. The fulcrum-bending correction index (FBCI) has been considered a superior method than the correction rate for comparing curve correction undergoing posterior spinal fusion because it accounts for the curve flexibility. However, their applicability to assess the PT and TL/L curves in AIS patients remains speculative. The relation between FBR and correction obtained by pedicle screws fixation is still unknown. Thirty-eight consecutive AIS patients who underwent pedicle screw fixation and posterior fusion were included in this study. The assessment of preoperative radiographs included standing posterior-anterior (PA), FBR, supine side-bending, and postoperative standing PA and lateral plain radiographs. The flexibility of the curve, as well as the FBCI, was calculated for all patients. Postoperatively, radiographs were assessed at immediate (i.e. 1 week), 3-month, 6-month, 12-month, and 2-year follow-up. Cobb angles were obtained from the PT, MT, and TL/L curves. The study consisted of 9 PT, 37 MT, and 12 TL/L curves, with a mean age of 15.1 years. The mean FBR flexibility of the PT, MT, and the TL/L curves was 42.6, 61.1, and 66.2%, respectively. The mean operative correction rates in the PT, MT, and TL/L curves were 43.4, 69.3, and 73.9%, respectively, and the mean FBCI was 103.8, 117.0, and 114.8%, respectively. Fulcrum-bending flexibility was positively correlated with the operative correction rate in PT, MT, and TL/ L curves. Although the correction rate in MT and TL/L curves was higher than PT curves, the FBCI in PT, MT, and TL/L curves was not significantly different (p \ 0.05). The FBR can be used to assist in the assessment of PT, MT, and TL/L curve corrections in AIS patients. When curve flexibility is taken into account by FBR, the ability of pedicle screws to correct PT, MT, and TL/L curves is the same.

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“…In fact, we know that it is also very difficult for an expert to separate these two groups using radiographs of the spine when the main curvature of the double major curve is thoracic. Thus, the clinicians in addition to the difference of the Cobb angle, develop the classification based on the curve reduction between X-ray acquired in standing position and those acquired in lateral flexion position [36]. On the other hand, the moderate predictive capacity of our classification system for class 2 comes also from the small number of the patients who have double major curve in the cohort.…”

Section: Performance Of Our Systemmentioning

confidence: 99%

Non invasive classification system of scoliosis curve types using least-squares support vector machines

Adankon

Dansereau

Cheriet

2012

Artificial Intelligence in Medicine

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Non invasive classification system of scoliosis curve types using least-squares support vector machines." Artificial Intelligence in Medicine, Vol. 56, no. 2 (2012): pp. 99-107.The final publication is available via the DOI: http://dx.doi.org/10.1016/j.artmed.2012.07.002The manuscript, in a draft version prior to being accepted by the publisher, is reproduced in the following pages. Mathias AbstractObjective: To determine scoliosis curve types using non invasive acquisition, without any prior knowledge on X-ray data.Methods: Classification of scoliosis deformities according to curve type is used to plan management of scoliosis patients. In this work, we propose a robust system that can determine the scoliosis curve type from non invasive acquisition of 3D back surface of the patients. The 3D image of back surface of the trunk is divided into patches and local geometric descriptors characterizing the surface of the back are computed from each patch and forming the features. We perform the reduction of the dimensionality by using principal component analysis and retain 53 components using overlap criterion combined with the total variance in the observed variables. In this work a multi-class classifier is built with leastsquares support vector machine (LS-SVM). The original LS-SVM formulation was modified by weighting differently the positive and negative samples and a new kernel was designed in order to achieve a robust classifier. The proposed system was validated using data of 165 patients with different scoliosis curve types. A comparison of the results of a non invasive classification was done with those obtained by an expert using X-ray images.Results: The average rate of successful classification was computed using * Corresponding author Email addresses: mathias-mahouzonsou.adankon@polymtl.ca (Mathias M. Adankon), jean.dansereau@polymtl.ca (Jean Dansereau), hubert.labelle@recherche-ste-justine.qc.ca (Hubert Labelle), farida.cheriet@polymtl.ca (Farida Cheriet) Preprint submitted to ElsevierJuly 16, 2012 leave-one-out cross-validation procedure. The overall accuracy of the system was 95%. Considering the correct classification rate per class, we obtained 96%, 84% and 97% respectively for thoracic major curve, double major curve and lumbar/thoracolumbar major curve. Conclusion: This study shows that it is possible to find a relationship between the internal deformity and the back surface deformity in scoliosis with machine learning methods.The proposed system uses non invasive acquisition which is safety for the patient, no radiation. Also, a design of a specific kernel improved classification performance.

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Surgical Correction of Vertebral Axial Rotation in Adolescent Idiopathic Scoliosis

Cited by 43 publications

References 0 publications

Electromyogram and kinematic analysis of lateral bending in idiopathic scoliosis patients

Electromyogram and kinematic analysis of lateral bending in idiopathic scoliosis patients

Coronal deformity correction in adolescent idiopathic scoliosis patients using the fulcrum-bending radiograph: a prospective comparative analysis of the proximal thoracic, main thoracic, and thoracolumbar/lumbar curves

Non invasive classification system of scoliosis curve types using least-squares support vector machines

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