System and method for predicting scoliosis progression

Patent metadata

Field	Value
Publication number	US-9547897-B2
Application number	US-201314434944-A
Country	US
Kind code	B2
Filing date	Oct 15, 2013
Priority date	Oct 12, 2012
Publication date	Jan 17, 2017
Grant date	Jan 17, 2017

Abstract

There is described a system, method, and computer-readable medium having stored thereon executable program code for generating a final Cobb angle prediction for idiopathic scoliosis, the method comprising: receiving patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity; applying the patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity to a predictive model based on 3D morphological spine parameters, curve type, and skeletal maturity, and generating the final Cobb angle prediction by modeling a progression curve of the idiopathic scoliosis.

First claim

The invention claimed is:

1. A system for generating a final Cobb angle prediction for idiopathic scoliosis, the system comprising:
a memory having stored thereon a predictive model based on 3D morphological spine parameters, curve type, and skeletal maturity;
a processor; and
at least one application stored in the memory and executable by the processor for:
receiving patient-specific data comprising 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity;
retrieving the predictive model;
modeling a progression curve of the idiopathic scoliosis using the patient-specific data and the predictive model; and
generating a prediction of the final Cobb angle from the progression curve.

2. The system of claim 1 , wherein the at least one application is further configured to receive two-dimensional spine data, reconstruct a three-dimensional spine morphology, and extract the patient-specific 3D morphological spine parameters therefrom, the patient-specific 3D morphological spine parameters comprising at least one of an initial Cobb angle, a plane of maximal deformation, a three-dimensional wedging of vertebral body and disk, an axial intervertebral rotation of an apex, upper and lower junctional level and thoracolumbar level, slenderness, and torsion.

3. The system of claim 2 , wherein the at least one application is executable by the processor for computing the initial Cobb angle in at least one of a frontal plane of the reconstructed three-dimensional spine morphology, a sagittal plane of the reconstructed three-dimensional spine morphology, and the plane of maximal deformation.

4. The system of claim 2 , wherein the at least one application is executable by the processor for computing the plane of maximal deformation as a plane in the reconstructed three-dimensional spine morphology having an axial angle that extends around a direction in which the initial Cobb angle is maximal.

5. The system of claim 2 , wherein the at least one application is executable by the processor for computing three-dimensional wedging of junctional and peri-apical disk levels of the reconstructed three-dimensional spine morphology and a sum of three-dimensional wedging of all thoracic and lumbar disks of the reconstructed three-dimensional spine morphology.

6. The system of claim 2 , wherein the at least one application is executable by the processor for computing the axial intervertebral rotation of a superior vertebra of the reconstructed three-dimensional spine morphology relative to an inferior vertebra of the reconstructed three-dimensional spine morphology, the inferior vertebra adjacent the superior vertebra and the superior and inferior vertebrae each having defined therefor in the reconstructed three-dimensional spine morphology a local axis plane comprising a first axis, the rotation computed by projecting the first axis of the superior vertebra onto the local axis plane of the inferior vertebra.

7. The system of claim 2 , wherein the at least one application is executable by the processor for computing the slenderness as a ratio of a height to a width of a body of each one of thoracic and lumbar vertebrae of the reconstructed three-dimensional spine morphology.

8. The system of claim 2 , wherein the at least one application is executable by the processor for receiving the patient-specific 3D morphological spine parameters comprising at least one of a mechanical torsion and a geometrical torsion, the mechanical torsion obtained by computing a first sum of the axial intervertebral rotation for all vertebrae in a first hemicurvature of a main idiopathic scoliosis curve in the reconstructed three-dimensional spine morphology, a second sum of the axial intervertebral rotation for all vertebrae in a second hemicurvature of the main curve, and a mean of the first sum and the second sum, the first hemicurvature defined between an upper end vertebra and an apex of the main curve and the second hemicurvature defined between a lower end vertebra of the main curve and the apex.

9. The system of claim 1 , wherein the memory has stored therein a plurality of treatment options each suitable for treating the idiopathic scoliosis and having associated therewith at least one of a range of final Cobb angles and a rate of change of idiopathic scoliosis curve progression, and further wherein the at least one application is executable by the processor for querying the memory with at least one of the final Cobb angle prediction and the modelled progression curve to retrieve a selected one of the plurality of treatment options and for outputting the final Cobb angle prediction and the selected treatment option.

10. The system of claim 1 , wherein the memory has stored thereon the predictive model comprising a general linear statistical model associating the final Cobb angle prediction with selected predictors, the selected predictors comprising the 3D morphological spine parameters, curve type, and skeletal maturity and determined by a backward selection procedure.

11. A computer-implemented method for generating a final Cobb angle prediction for idiopathic scoliosis, the method comprising:
receiving patient-specific data comprising 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity;
applying the patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity to a predictive model based on 3D morphological spine parameters, curve type, and skeletal maturity;
modeling a progression curve of the idiopathic scoliosis from the predictive model; and
generating a prediction of the final Cobb angle from the progression curve.

12. The method of claim 11 , further comprising receiving two-dimensional spine data, reconstructing a three-dimensional spine morphology, and extracting the patient-specific 3D morphological spine parameters therefrom, the patient-specific 3D morphological spine parameters comprising at least one of an initial Cobb angle, a plane of maximal deformation, a three-dimensional wedging of vertebral body and disk, an axial intervertebral rotation of an apex, upper and lower junctional level and thoracolumbar level, slenderness, and torsion.

13. The method of claim 12 , wherein receiving the patient-specific 3D morphological spine parameters comprises receiving the initial Cobb angle computed in at least one of a frontal plane of the reconstructed three-dimensional spine morphology, a sagittal plane of the reconstructed three-dimensional spine morphology, and the plane of maximal deformation.

14. The method of claim 12 , wherein receiving the patient-specific 3D morphological spine parameters comprises receiving the plane of maximal deformation as a plane in the reconstructed three-dimensional spine morphology having an axial angle that extends around a direction in which the initial Cobb angle is maximal.

15. The method of claim 12 , wherein receiving the patient-specific 3D spine parameters comprises receiving three-dimensional wedging of junctional and peri-apical disk levels of the reconstructed three-dimensional spine morphology and a sum of three-dimensional wedging of all thoracic and lumbar disks of the reconstructed three-dimensional spine morphology.

16. The method of claim 12 , wherein receiving the patient-specific 3D morphological spine parameters comprises receiving the axial intervertebral rotation computed for a superior vertebra of the reconstructed three-dimensional spine morphology relative to an inferior vertebra of the reconstructed three-dimensional spine morphology, the inferior vertebra adjacen

Assignees

• École De Tech Supérieure
• Ecole Technologie Superieure
• Valorisation Hsj Ltd Partnership

Inventors

• Parent Stefan
• Nault Marie-Lyne
• Mac-Thiong Jean-Marc
• Labelle Hubert
• De Guise Jacques

Classifications

• G06F19/345

  Physics · mapped topic

• G06T2207/10116

  X-ray image · CPC title

• G06T2207/30012

  Spine; Backbone · CPC title

• G06T5/001

  Physics · mapped topic

• G06T7/0012 Primary

  Biomedical image inspection · CPC title