IEEE J Biomed Health Inform - Non invasive clinical assessment of trunk deformities associated with scoliosis.

Tópicos

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Resumo

Besides the spinal deformity, scoliosis modifies notably the general appearance of the trunk resulting in trunk rotation, imbalance and asymmetries which constitutes patients' major concern. Existing classifications of scoliosis, based on the type of spinal curve as depicted on radiographs, are currently used to guide treatment strategies. Unfortunately, even though a perfect correction of the spinal curve is achieved, some trunk deformities remain, making patients dissatisfied with the treatment received. The purpose of this study is to identify possible shape patterns of trunk surface deformity associated with scoliosis. First, trunk surface is represented by a multivariate functional trunk shape descriptor based on 3D clinical measurements computed on cross sections of the trunk. Then, the classical formulation of hierarchical clustering is adapted to the case of multivariate functional data and applied to a set of 236 trunk surface 3D reconstructions. The highest internal validity is obtained when considering 11 clusters that explain up to 65% of the variance in our dataset. Our clustering result shows a concordance with the radiographic classification of spinal curves in 68% of the cases. As opposed to radiographic evaluation, the trunk descriptor is three-dimensional and its functional nature offers a compact and elegant description of not only the type, but also the severity and extent of the trunk surface deformity along the trunk length. In future work, new management strategies based on the resulting trunk shape patterns could be thought of in order to improve the esthetic outcome after treatment, and thus patients satisfaction.

Resumo Limpo

besid spinal deform scoliosi modifi notabl general appear trunk result trunk rotat imbal asymmetri constitut patient major concern exist classif scoliosi base type spinal curv depict radiograph current use guid treatment strategi unfortun even though perfect correct spinal curv achiev trunk deform remain make patient dissatisfi treatment receiv purpos studi identifi possibl shape pattern trunk surfac deform associ scoliosi first trunk surfac repres multivari function trunk shape descriptor base d clinic measur comput cross section trunk classic formul hierarch cluster adapt case multivari function data appli set trunk surfac d reconstruct highest intern valid obtain consid cluster explain varianc dataset cluster result show concord radiograph classif spinal curv case oppos radiograph evalu trunk descriptor threedimension function natur offer compact eleg descript type also sever extent trunk surfac deform along trunk length futur work new manag strategi base result trunk shape pattern thought order improv esthet outcom treatment thus patient satisfact

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