RETRACTED ARTICLE: Computer-based Cobb angle measurement using deflection points in adolescence idiopathic scoliosis from radiographic images

Al-Bashir, Areen K.; Al-Abed, Mohammad A.; Amari, Hala K.; Al-Rousan, Fadi M.; Bashmaf, Omar M. K.; Abdulhay, Enas; abdi, Rabah M. Al; Arunkumar, N.; Bapu, B. R. Tapas; Al-Basheer, A.

doi:10.1007/s00521-018-3614-y

“…on radiography) of a three-dimensional deformity of the spine. In order to be able to measure the Cobb angle, the bony curved edges of the cover and base plates of the two mostly tilted vertebral bodies around the apex, must be clearly visible in the X-ray image [22]. Therefore, even if it were possible to measure the marginal angle between the two endplates of the vertebral bodies in our 3D model that can not be exactly the same (or comparable) with the Cobb angle measured on the 2D X-ray image.…”

Section: Discussionmentioning

confidence: 99%

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

Roy

¹

,

Grünwald

²

,

Lampe

³

2022

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Purpose Adolescent scoliosis is one of the common pediatric spinal diseases which has a high risk of progression due to the rapid growth of the skeleton during the growing stage therefore needs regular clinical monitoring including X-rays. Because X-rays could lead to ionizing radiation-related health problems, an ionizing radiation-free, non-invasive method is presented here to estimate the degree of scoliosis and to potentially support the medical assessment. Methods The radiation-free body scanner provides a 3D surface scan of the torso. A basic 3D structure of the human ribcage and vertebral column was modeled and simulated with computer-aided design software and finite element method calculation. For comparison with X-rays, courses of vertebral columns derived from 3D torso images and 3D models were analyzed with respect to their apex positions and angles. Results The methods show good results in the estimation of the apex positions of scoliosis. Strong correlations (R = 0.8924) were found between the apex and Cobb angle from X-rays. Similar correlations (R = 0.8087) was obtained between the apex angles extracted from X-rays and the combination of torso scan images with 3D model simulations. Promising agreement was obtained between the spinal trajectories extracted from X-ray and 3D torso images. Conclusions Very strong correlations suggest that the apex angle could potentially be used for scoliosis assessment in follow-up examinations in complement to the Cobb angle. However, further improvements of the methods and tests on a larger number of data set are necessary before their introduction into the clinical application.

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“…The picture archiving and communications system (PACS) has a built-in feature that allows users to digitally draw the required vertebral line, and the system automatically measures the CA. This method is more reliable and less variable than manual measurement on printed X-ray images using a protractor 12 , 13 , and the measurement accuracy has improved to within ± 3.3° of the true value 14 – 21 . However, PACS requires manual selection of the appropriate end vertebrae by surgeons.…”

Section: Introductionmentioning

confidence: 94%

Automatic measurement of the Cobb angle for adolescent idiopathic scoliosis using convolutional neural network

Maeda,

Nagura,

Nakamura

et al. 2023

Sci Rep

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This study proposes a convolutional neural network method for automatic vertebrae detection and Cobb angle (CA) measurement on X-ray images for scoliosis. 1021 full-length X-ray images of the whole spine of patients with adolescent idiopathic scoliosis (AIS) were used for training and segmentation. The proposed AI algorithm's results were compared with those of the manual method by six doctors using the intraclass correlation coefficient (ICC). The ICCs recorded by six doctors and AI were excellent or good, with a value of 0.973 for the major curve in the standing position. The mean error between AI and doctors was not affected by the angle size, with AI tending to measure 1.7°–2.2° smaller than that measured by the doctors. The proposed method showed a high correlation with the doctors’ measurements, regardless of the CA size, doctors’ experience, and patient posture. The proposed method showed excellent reliability, indicating that it is a promising automated method for measuring CA in patients with AIS.

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“…The picture archiving and communications system (PACS) has a built-in feature that allows users to digitally draw the required vertebral line, and the system automatically measures the CA. This method is more reliable and less variable than manual measurement on printed X-ray images using a protractor [12,13], and the measurement accuracy has improved to within ± 3.3° of the true value [14][15][16][17][18][19][20][21]. However, PACS requires manual selection of the appropriate end vertebrae by surgeons.…”

Section: Introductionmentioning

confidence: 99%

Automatic measurement of the Cobb angle for adolescent idiopathic scoliosis using convolutional neural network

Maeda

¹

,

Nagura

²

,

Nakamura

³

et al. 2023

Preprint

0

View full text Add to dashboard Cite

This study proposes a convolutional neural network method for automatic vertebrae detection and Cobb angle (CA) measurement on X-ray images for scoliosis. 1021 full-length X-ray images of the whole spine of patients with adolescent idiopathic scoliosis (AIS) were used for training and segmentation. The proposed AI algorithm's results were compared with those of the manual method by six doctors using the intraclass correlation coefficient (ICC). The ICCs recorded by six doctors and AI were excellent or good, with a value of 0.973 for the major curve in the standing position. The mean error between AI and doctors was not affected by the angle size, with AI tending to measure 1.7°–2.2° smaller than that measured by the doctors. The proposed method showed a high correlation with the doctors’ measurements, regardless of the CA size, doctors’ experience, and patient posture. The proposed method showed excellent reliability, indicating that it is a promising automated method for measuring CA in patients with AIS.

show abstract

RETRACTED ARTICLE: Computer-based Cobb angle measurement using deflection points in adolescence idiopathic scoliosis from radiographic images

Cited by 18 publications

References 20 publications

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

Automatic measurement of the Cobb angle for adolescent idiopathic scoliosis using convolutional neural network

Automatic measurement of the Cobb angle for adolescent idiopathic scoliosis using convolutional neural network

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