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A convolutional neural network to detect scoliosis treatment in radiographs

Article dans une revue avec comité de lecture
Auteur
ccSKALLI, Wafa
ccGAJNY, Laurent
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccVERGARI, Claudio

URI
http://hdl.handle.net/10985/18942
DOI
10.1007/s11548-020-02173-4
Date
2020
Journal
International Journal of Computer Assisted Radiology and Surgery

Résumé

Purpose The aim of this work is to propose a classification algorithm to automatically detect treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such automatic labelling of radiographs could represent a step towards global automatic radiological analysis. Methods Seven hundred and ninety-six frontal radiographies of adolescents were collected (84 patients wearing a brace, 325 with a spinal implant and 387 reference images with no treatment). The dataset was augmented to a total of 2096 images. A classification model was built, composed by a forward convolutional neural network (CNN) followed by a discriminant analysis; the output was a probability for a given image to contain a brace, a spinal implant or none. The model was validated with a stratified tenfold cross-validation procedure. Performance was estimated by calculating the average accuracy. Results 98.3% of the radiographs were correctly classified as either reference, brace or implant, excluding 2.0% unclassified images. 99.7% of brace radiographs were correctly detected, while most of the errors occurred in the reference group (i.e. 2.1% of reference images were wrongly classified). Conclusion The proposed classification model, the originality of which is the coupling of a CNN with discriminant analysis, can be used to automatically label radiographs for the presence of scoliosis treatment. This information is usually missing from DICOM metadata, so such method could facilitate the use of large databases. Furthermore, the same model architecture could potentially be applied for other radiograph classifications, such as sex and presence of scoliotic deformity.

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2020-10-26
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  • Comparison of 3D and 2D characterization of spinal geometry from biplanar X-rays: a large cohort study 
    Article dans une revue avec comité de lecture
    HU, Zongshan; ccVERGARI, Claudio; ccGAJNY, Laurent; LIU, Zhen; LAM, Tsz-Ping; ZHU, Zezhang; QIU, Yong; MAN, Gene C. W.; YEUNG, Kwong-Hang; CHU, Winnie C. W.; CHENG, Jack C. Y.; ccSKALLI, Wafa (2021)
    Background: Biplanar X-ray system providing anteroposterior and sagittal plane with an ultra-low radiation dose and in weight-bearing position is increasingly used for spine imaging. The original three-dimensional (3D) ...
  • Balance, barycentremetry and external shape analysis in idiopathic scoliosis: What can the physician expect from it? 
    Article dans une revue avec comité de lecture
    LANGLAIS, Tristan; ccVERGARI, Claudio; ROUGEREAU, Grégoire; ccGAJNY, Laurent; ASSI, Ayman; GHANEM, Ismat; DUBOUSSET, Jean; VIALLE, Raphaël; PIETTON, Raphaël; ccSKALLI, Wafa (Elsevier BV, 2021)
    Objective: Our objective was to establish a corridor of normality for the external shape 3D parameters and then to assess these variables in adolescent idiopathic scoliosis (AIS). Methods: Adolescent with mild and severe ...
  • Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method 
    Article dans une revue avec comité de lecture
    EBRAHIMI, Shahin; ccSKALLI, Wafa; ANGELINI, Elsa D.; ccGAJNY, Laurent; ccVERGARI, Claudio (Springer Verlag, 2019)
    Purpose Measurement of vertebral axial rotation (VAR) is relevant for the assessment of scoliosis. Stokes method allows estimating VAR in frontal X-rays from the relative position of the pedicles and the vertebral body. ...
  • Quasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis 
    Article dans une revue avec comité de lecture
    EBRAHIMI, Shahin; ccSKALLI, Wafa; ANGELINI, Elsa D.; ccGAJNY, Laurent; ccVERGARI, Claudio (Springer Verlag, 2018)
    Purpose: To design a quasi-automated three-dimensional reconstruction method of the spine from biplanar X-rays as the daily used method in clinical routine is based on manual adjustments of a trained operator and the ...
  • Automated Spinal Midline Delineation on Biplanar X-Rays Using Mask R-CNN 
    Communication avec acte
    YANG, Zixin; ccSKALLI, Wafa; ccGAJNY, Laurent; ANGELINI, Elsa D.; ccVERGARI, Claudio (Springer International Publishing, 2019)
    Manually annotating medical images with few landmarks to initialize 3D shape models is a common practice. For instance, when reconstructing the 3D spine from biplanar X-rays, the spinal midline, passing through vertebrae ...

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