Computational modelling of the scoliotic spine: A literature review

open4siScoliosis is a deformity of the spine that in severe cases requires surgical treatment. There is still disagreement among clinicians as to what the aim of such treatment is as well as the optimal surgical technique. Numerical models can aid clinical decision-making by estimating the outcome of a given surgical intervention. This paper provided some background information on the modelling of the healthy spine and a review of the literature on scoliotic spine models, their validation, and their application. An overview of the methods and techniques used to construct scoliotic finite element and multibody models was given as well as the boundary conditions used in the simulations. The current limitations of the models were discussed as well as how such limitations are addressed in non-scoliotic spine models. Finally, future directions for the numerical modelling of scoliosis were addressed.Marco Viceconti and Giorgio Davico were supported by the EU funded project Mobilise-D. The charity Reuse-WithLove is gratefully acknowledged for the financial support to this research.openGould, Samuele L; Cristofolini, Luca; Davico, Giorgio; Viceconti, MarcoGould, Samuele L; Cristofolini, Luca; Davico, Giorgio; Viceconti, Marc

Computational modelling of the scoliotic spine: A literature review

Scoliosis is a deformity of the spine that in severe cases requires surgical treatment. There is still disagreement among clinicians as to what the aim of such treatment is as well as the optimal surgical technique. Numerical models can aid clinical decision-making by estimating the outcome of a given surgical intervention. This paper provided some background information on the modelling of the healthy spine and a review of the literature on scoliotic spine models, their validation, and their application. An overview of the methods and techniques used to construct scoliotic finite element and multibody models was given as well as the boundary conditions used in the simulations. The current limitations of the models were discussed as well as how such limitations are addressed in non-scoliotic spine models. Finally, future directions for the numerical modelling of scoliosis were addressed

Biomechanical effect of pedicle screw distribution in AIS instrumentation using a segmental translation technique: computer modeling and simulation

BACKGROUND: Efforts to select the appropriate number of implants in adolescent idiopathic scoliosis (AIS) instrumentation are hampered by a lack of biomechanical studies. The objective was to biomechanically evaluate screw density at different regions in the curve for AIS correction to test the hypothesis that alternative screw patterns do not compromise anticipated correction in AIS when using a segmental translation technique. METHODS: Instrumentation simulations were computationally performed for 10 AIS cases. We simulated simultaneous concave and convex segmental translation for a reference screw pattern (bilateral polyaxial pedicle screws with dorsal height adjustability at every level fused) and four alternative patterns; screws were dropped respectively on convex or concave side at alternate levels or at the periapical levels (21 to 25% fewer screws). Predicted deformity correction and screw forces were compared. RESULTS: Final simulated Cobb angle differences with the alternative screw patterns varied between 1 degrees to 5 degrees (39 simulations) and 8 degrees (1 simulation) compared to the reference maximal density screw pattern. Thoracic kyphosis and apical vertebral rotation were within 2 degrees of the reference screw pattern. Screw forces were 76 +/- 43 N, 96 +/- 58 N, 90 +/- 54 N, 82 +/- 33 N, and 79 +/- 42 N, respectively, for the reference screw pattern and screw dropouts at convex alternate levels, concave alternate levels, convex periapical levels, and concave periapical levels. Bone-screw forces for the alternative patterns were higher than the reference pattern (p 0.28). Alternate dropout screw forces were higher than periapical dropouts (p < 0.05). CONCLUSIONS: Using a simultaneous segmental translation technique, deformity correction can be achieved with 23% fewer screws than maximal density screw pattern, but resulted in 25% higher bone-screw forces. Screw dropouts could be either on the convex side or on the concave side at alternate levels or at periapical levels. Periapical screw dropouts may more likely result in lower bone-screw force increase than alternate level screw dropouts

Planning the Surgical Correction of Spinal Deformities: Toward the Identification of the Biomechanical Principles by Means of Numerical Simulation

The set of surgical devices and techniques to perform spine deformity correction has widened dramatically. Nevertheless, the rate of complications due to mechanical failure remains rather high. Indeed, basic research about the principles of deformity correction and the optimal surgical strategies (i.e. the choice of the fusion length, the most appropriate instrumentation, the degree of tolerable correction) did not progress as much as the techniques. In this work, a software approach for the biomechanical simulation of the correction of patient-specific spinal deformities aimed to the identification of its biomechanical principles is presented. The method is based on three dimensional reconstructions of the spinal anatomy obtained from biplanar radiographic images. A user-friendly graphical interface allows for the planning of the deformity correction and to simulate the instrumentation. Robust meshing of the instrumented spine is provided by using consolidated computational geometry and meshing libraries. Based on finite element simulation, the program predicts the loads acting in the instrumentation as well as in the biological tissues. A simple test case (reduction of a low grade spondylolisthesis at L3-L4) was simulated as a proof-of-concept. Despite the limitations of this approach, the preliminary outcome is promising and encourages a wide effort towards its refinement

Optimisation des planifications chirurgicales de la scoliose idiopathique adolescente

Anatomie descriptive et fonctionnelle du rachis sain -- La scoliose idiopathique adolescente (SIA) -- Le traitement par instrumentation chirurgicale postérieure -- Évolution de l'instrumentation chirurgicale postérieure -- Biomécanique du traitement par instrumentation chirurgicale postérieure -- Simulations numériques du traitement par instrumentation chirurgicale -- Revue des travaux antérieurs de notre équipe -- Sommaire de l'état actuel des connaissances -- Hypothèses, objectifs et cadre méthodologique -- Étude de la variabilité des objectifs de correction du rachis scoliotique -- Scoliosis correction objectives in adolescent idiopathic scoliosis -- Optimisation des planifications chirurgicales de la scoliose -- Computer simulation for optimization of instrumentation strategies in adolescent idiopathic scoliosis -- Étude prospective de l'optimisation de la chirurgie d'instrumentation sur un deuxième cas -- Effets de la variabilité des objectifs de correction sur des stratégies d'instrumentation du rachis scoliotique -- The repercussion of correction objectives on instrumentation strategies in adolescent idiopathic scoliosis

Design, Optimization, and Evaluation of a Fusionless Device to Induce Growth Modulation and Correct Spinal Curvatures in Adolescent Idiopathic Scoliosis

RÉSUMÉ La scoliose est une déformation musculo-squelettique complexe et tridimensionnelle de la colonne vertébrale. Les mécanismes de progression de la scoliose sont liés au principe de Hueter-Volkmann. Selon cette théorie, les chargements asymétriques des plaques de croissance altèrent la croissance du rachis (cunéiformisation des vertèbres). Une courbure scoliotique présentant un angle de Cobb supérieur à 50° nécessite généralement une intervention chirurgicale avec fusion rachidienne. Cette chirurgie implique des procédures particulièrement invasives et coûteuses, ce qui a incité plusieurs chercheurs à tenter de développer d‘autres alternatives. Des techniques minimalement invasives et sans fusion ont ainsi été élaborées pour contrôler et corriger un mauvais alignement de la colonne vertébrale avant qu'une progression trop importante des déformations scoliotiques ne se produise. Ces techniques tentent d'exploiter la croissance vertébrale résiduelle afin de corriger la cunéiformisation locale et d‘aboutir à un réalignement progressif du rachis. Les traitements sans fusion semblent également mettre en péril la santé du disque intervertébral à long terme et se limitent à une correction 2D (plan frontal) de déformations intrinsèquement 3D. Mieux comprendre biomécaniquement la progression des déformations scoliotiques permettrait de développer des dispositifs sans fusion plus efficaces. Cela serait une contribution importante et innovatrice à l'amélioration du traitement de la scoliose idiopathique adolescente (SIA). L'objectif global de cette thèse était le développement, l‘optimisation, et l‘évaluation expérimentale d'implants sans fusion afin de moduler la croissance et de corriger les déformations scoliotiques. Les objectifs spécifiques étaient de 1) développer un modèle par éléments finis (MEF) de la colonne vertébrale intégrant une modélisation de la croissance; 2) exploiter ce MEF pour étudier les facteurs biomécaniques impliqués dans les mécanismes de progression de la SIA; 3) exploiter le MEF pour analyser la biomécanique des dispositifs sans fusion existant actuellement et repérer les améliorations pouvant être apportées à ces dispositifs; et 4) exploiter la plate-forme de conception conçue (analyses in silico, in situ, et in vivo) pour développer, optimiser, et valider de nouveaux dispositifs sans fusion modulateurs de croissance pour la correction des déformations de la SIA.----------ABSTRACT Scoliosis is a spinal musculoskeletal deformity defined by a 3D deformity of the spine. The pathomechanism of scoliotic progression may be in part explained by the Hueter-Volkmann principle. This theory describes how increased loading of growth plates will reduce regular growth rates while the converse is also accurate. Further, when extended to the pathogenesis of scoliosis, it defines how asymmetric loading of the vertebral bodies leads to the progression of the deformity via vertebral wedging. Currently, a scoliotic curve reaching a magnitude of 50° Cobb deformation requires surgical intervention involving instrumentation and spinal fusion. The process of fusion is among the most invasive and expensive procedures, which has motivated several researchers to develop other alternatives. The development of a less invasive technique, to control and correct a spinal misalignment before undesirable progression occurs, has subsequently been explored. Several fusionless devices have been developed that attempt to manipulate vertebral growth to correct vertebral wedging and, consequently, realign the spine. However, to date, these approaches have yet to be adopted in a clinical context. Moreover, devices actively pursued seemed to imperil the long term health of the intervertebral disc while corrective attempts are restricted to the unilateral manipulation of a 3D deformity. Therefore, enhanced biomechanical understanding of AIS pathomechanism in conjunction with the development of early and less invasive interventions would offer an important contribution to the improved treatment of AIS. The global objective of this thesis was to design, optimize, and evaluated experimentally fusionless device concepts to induce growth modulation and correct spinal curvatures in adolescent idiopathic scoliosis (AIS). The specific objectives were to: 1) develop a FEM of the spine with integrated growth dynamics; 2) exploit the FEM to explore biomechanical factors involved in the pathomechanism of AIS; 3) exploit the FEM to analyze biomechanically current fusionless growth sparring devices to identify available avenues of improvement; and 4) exploit the devised developmental platform (in silico, in situ, and in vivo analyses) to develop, optimize, and validate novel and improved fusionless growth modulating devices for AIS

The International Research Society of Spinal Deformities (IRSSD) and its contribution to science

From the time of its initial, informal meetings starting in 1980 to its formal creation in 1990, the IRSSD has met on a bi-annual basis to discuss all aspects of the spine and associated deformities. It has encouraged open discussion on all topics and, in particular, has tried to be the seed-bed for new ideas. The members are spread around the world and include people from all areas of academia as well as the most important people, the patients themselves. Most notably, application of the ideas and results of the research has always been at the forefront of the discussions. This paper was conceived with the idea of evaluating the impact made by the IRSSD over the last 30 years in the various areas and is intended to create discussion for the upcoming meeting in Montreal regarding future focus: "We are lost over the Atlantic Ocean but we are making good time.

Developing a 3D multi-body simulation tool to study dynamic behaviour of human scoliosis

Ph.DDOCTOR OF PHILOSOPH

The use of artificial intelligence algorithms to guide surgical treatment of adolescent idiopathic scoliosis

La scoliose idiopathique de l’adolescent (SIA) est une déformation tri-dimensionelle du rachis. Son traitement comprend l’observation, l’utilisation de corsets pour limiter sa progression ou la chirurgie pour corriger la déformation squelettique et cesser sa progression. Le traitement chirurgical reste controversé au niveau des indications, mais aussi de la chirurgie à entreprendre. Malgré la présence de classifications pour guider le traitement de la SIA, une variabilité dans la stratégie opératoire intra et inter-observateur a été décrite dans la littérature. Cette variabilité s’accentue d’autant plus avec l’évolution des techniques chirurgicales et de l’instrumentation disponible. L’avancement de la technologie et son intégration dans le milieu médical a mené à l’utilisation d’algorithmes d’intelligence artificielle informatiques pour aider la classification et l’évaluation tridimensionnelle de la scoliose. Certains algorithmes ont démontré être efficace pour diminuer la variabilité dans la classification de la scoliose et pour guider le traitement. L’objectif général de cette thèse est de développer une application utilisant des outils d’intelligence artificielle pour intégrer les données d’un nouveau patient et les évidences disponibles dans la littérature pour guider le traitement chirurgical de la SIA. Pour cela une revue de la littérature sur les applications existantes dans l’évaluation de la SIA fut entreprise pour rassembler les éléments qui permettraient la mise en place d’une application efficace et acceptée dans le milieu clinique. Cette revue de la littérature nous a permis de réaliser que l’existence de “black box” dans les applications développées est une limitation pour l’intégration clinique ou la justification basée sur les évidence est essentielle. Dans une première étude nous avons développé un arbre décisionnel de classification de la scoliose idiopathique basé sur la classification de Lenke qui est la plus communément utilisée de nos jours mais a été critiquée pour sa complexité et la variabilité inter et intra-observateur. Cet arbre décisionnel a démontré qu’il permet d’augmenter la précision de classification proportionnellement au temps passé à classifier et ce indépendamment du niveau de connaissance sur la SIA. Dans une deuxième étude, un algorithme de stratégies chirurgicales basé sur des règles extraites de la littérature a été développé pour guider les chirurgiens dans la sélection de l’approche et les niveaux de fusion pour la SIA. Lorsque cet algorithme est appliqué à une large base de donnée de 1556 cas de SIA, il est capable de proposer une stratégie opératoire similaire à celle d’un chirurgien expert dans prêt de 70% des cas. Cette étude a confirmé la possibilité d’extraire des stratégies opératoires valides à l’aide d’un arbre décisionnel utilisant des règles extraites de la littérature. Dans une troisième étude, la classification de 1776 patients avec la SIA à l’aide d’une carte de Kohonen, un type de réseaux de neurone a permis de démontrer qu’il existe des scoliose typiques (scoliose à courbes uniques ou double thoracique) pour lesquelles la variabilité dans le traitement chirurgical varie peu des recommandations par la classification de Lenke tandis que les scolioses a courbes multiples ou tangentielles à deux groupes de courbes typiques étaient celles avec le plus de variation dans la stratégie opératoire. Finalement, une plateforme logicielle a été développée intégrant chacune des études ci-dessus. Cette interface logicielle permet l’entrée de données radiologiques pour un patient scoliotique, classifie la SIA à l’aide de l’arbre décisionnel de classification et suggère une approche chirurgicale basée sur l’arbre décisionnel de stratégies opératoires. Une analyse de la correction post-opératoire obtenue démontre une tendance, bien que non-statistiquement significative, à une meilleure balance chez les patients opérés suivant la stratégie recommandée par la plateforme logicielle que ceux aillant un traitement différent. Les études exposées dans cette thèse soulignent que l’utilisation d’algorithmes d’intelligence artificielle dans la classification et l’élaboration de stratégies opératoires de la SIA peuvent être intégrées dans une plateforme logicielle et pourraient assister les chirurgiens dans leur planification préopératoire.Adolescent idiopathic scoliosis (AIS) is a three-dimensional deformity of the spine. Management of AIS includes conservative treatment with observation, the use of braces to limit its progression or surgery to correct the deformity and cease its progression. Surgical treatment of AIS remains controversial with respect to not only indications but also surgical strategy. Despite the existence of classifications to guide AIS treatment, intra- and inter-observer variability in surgical strategy has been described in the literature. Technological advances and their integration into the medical field have led to the use of artificial intelligence (AI) algorithms to assist with AIS classification and three-dimensional evaluation. With the evolution of surgical techniques and instrumentation, it is probable that the intra- and inter-observer variability could increase. However, some AI algorithms have shown the potential to lower variability in classification and guide treatment. The overall objective of this thesis was to develop software using AI tools that has the capacity to integrate AIS patient data and available evidence from the literature to guide AIS surgical treatment. To do so, a literature review on existing computer applications developed with regards to AIS evaluation and management was undertaken to gather all the elements that would lead to usable software in the clinical setting. This review highlighted the fact that many applications use a non-descript “black box” between input and output, which limits clinical integration where management based on evidence is essential. In the first study, we developed a decision tree to classify AIS based on the Lenke scheme. The Lenke scheme was popular in the past, but has recently been criticized for its complexity leading to intra and inter-observer variability. The resultant decision tree demonstrated an ability to increase classification accuracy in proportion to the time spent classifying. Importantly, this increase in accuracy was independently of previous knowledge about AIS. In the second study, a surgical strategy rule-based algorithm was developed using rules extracted from the literature to guide surgeons in the selection of the approach and levels of fusion for AIS. When this rule-based algorithm was tested against a database of 1,556 AIS cases, it was able to output a surgical strategy similar to the one undertaken by an expert surgeon in 70% of cases. This study confirmed the ability of a rule-based algorithm based on the literature to output valid surgical strategies. In the third study, classification of 1,776 AIS patients was undertaken using Kohonen Self-Organizing-Maps (SOM), which is a kind of neural network that demonstrates there are typical AIS curve types (i.e: single curves and double thoracic curves) for which there is little variability in surgical treatment when compared to the recommendations from the Lenke scheme. Other curve types (i.e: multiple curves or in transition zones between typical curves) have much greater variability in surgical strategy. Finally, a software platform integrating all the above studies was developed. The interface of this software platform allows for: 1) the input of AIS patient radiographic measurements; 2) classification of the curve type using the decision tree; 3) output of surgical strategy options based on rules extracted from the literature. A comparison of surgical correction obtained by patients receiving surgical treatment suggested by the software showed a tendency to obtain better balance -though non-statistically significant - than those who were treated differently from the surgical strategies outputted by the software. Overall, studies from this thesis suggest that the use of AI algorithms in the classification and selection of surgical strategies for AIS can be integrated in a software platform that could assist the surgeon in the planning of appropriate surgical treatment

A PATIENT-SPECIFIC MULTIBODY MODEL OF SCOLIOTIC SPINE FOR SURGICAL CORRECTION PREDICTION IN THE CORONAL PLANE

Ph.DDOCTOR OF PHILOSOPH