Literature DB >> 8720406

A new method using top views of the spine to predict the progression of curves in idiopathic scoliosis during growth.

Y Kohashi1, M Oga, Y Sugioka.   

Abstract

STUDY
DESIGN: A prospective longitudinal study of 51 patients with idiopathic scoliosis using spinal stereoradiographs was performed. The top view, which was obtained from stereoscopic anteroposterior and lateral radiographs, was analyzed for predicting the progression of spinal deformity.
OBJECTIVES: To show that the top view facilitates prediction of curve progression in idiopathic scoliosis at the initial examination. SUMMARY OF BACKGROUND DATA: Four progression factors were set up using the top view and were analyzed statistically for predicting progression. No previous study has assessed this concept.
METHODS: Fifty-one patients with idiopathic thoracic scoliosis or combined thoracic and lumbar scoliosis were studied longitudinally. There were 24 untreated patients and 27 patients treated with braces. Four potential progression factors were evaluated using the top view: 1) the ratio of the frontal size and the sagittal size in the top view, 2) the magnitude and direction of the vector describing the plane of maximum curvature in the thoracic spine, 3) the magnitude and direction of the vector describing the plane of maximum curvature in the lumbar spine, and 4) the balance of these vectors between the thoracic and lumbar curve. All cases were classified into five groups according to these four factors.
RESULTS: The probability of the progression was evaluated statistically, and the prevalence of curve progression was found in each group. The probability of progression of a scoliosis curve increased according to the increase of these four factors. No significant difference was found between Cobb angle at the initial examination and that at skeletal maturity in untreated patients with a small risk of progression. The patients with a large risk of progression and who were treated with braces showed progression of curvature despite brace treatment.
CONCLUSION: The present study has evaluated factors relating to progression in scoliosis using the top view. These results may help predict the risk of progression in idiopathic scoliosis.

Entities:  

Mesh:

Year:  1996        PMID: 8720406     DOI: 10.1097/00007632-199601150-00010

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  7 in total

1.  A semi-automated method using interpolation and optimisation for the 3D reconstruction of the spine from bi-planar radiography: a precision and accuracy study.

Authors:  Raphaël Dumas; Bertrand Blanchard; Robert Carlier; Christian Garreau de Loubresse; Jean-Charles Le Huec; Catherine Marty; Maryse Moinard; Jean-Marc Vital
Journal:  Med Biol Eng Comput       Date:  2007-09-14       Impact factor: 2.602

2.  Quasi-automatic early detection of progressive idiopathic scoliosis from biplanar radiography: a preliminary validation.

Authors:  Claudio Vergari; Laurent Gajny; Isabelle Courtois; Eric Ebermeyer; Kariman Abelin-Genevois; Youngwoo Kim; Tristan Langlais; Raphael Vialle; Ayman Assi; Ismat Ghanem; Jean Dubousset; Wafa Skalli
Journal:  Eur Spine J       Date:  2019-05-10       Impact factor: 3.134

3.  Sagittal balance correction of idiopathic scoliosis using the in situ contouring technique.

Authors:  Yann Philippe Charles; Julia Bouchaïb; Axel Walter; Sébastien Schuller; Erik André Sauleau; Jean-Paul Steib
Journal:  Eur Spine J       Date:  2012-06-08       Impact factor: 3.134

4.  Radiographic versus ultrasound evaluation of the Risser Grade in adolescent idiopathic scoliosis: a prospective study of 46 patients.

Authors:  Martin Thaler; Gerhard Kaufmann; Iris Steingruber; Eckart Mayr; Michael Liebensteiner; Christian Bach
Journal:  Eur Spine J       Date:  2008-07-29       Impact factor: 3.134

5.  Three-dimensional easy morphological (3-DEMO) classification of scoliosis, part I.

Authors:  Stefano Negrini; Alberto Negrini; Salvatore Atanasio; Giorgio C Santambrogio
Journal:  Scoliosis       Date:  2006-12-05

Review 6.  State of the art of current 3-D scoliosis classifications: a systematic review from a clinical perspective.

Authors:  Sabrina Donzelli; Salvatore Poma; Luca Balzarini; Alberto Borboni; Stefano Respizzi; Jorge Hugo Villafane; Fabio Zaina; Stefano Negrini
Journal:  J Neuroeng Rehabil       Date:  2015-10-16       Impact factor: 4.262

7.  The method for measurement of the three-dimensional scoliosis angle from standard radiographs.

Authors:  Paweł Główka; Wojciech Politarczyk; Piotr Janusz; Łukasz Woźniak; Tomasz Kotwicki
Journal:  BMC Musculoskelet Disord       Date:  2020-07-21       Impact factor: 2.362

  7 in total

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