title: Accuracy of a new intellectual method in measuring Cobb’s angle on spinal radiographs and the possibility of its clinical application
metadata.name: dc.contributor.author
metadata.value: Kassab, Dima K. I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kamyshanskaya, Irina G.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Trukhan, Stanislau V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Ladogubets, Natalia A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-03-27T19:34:52Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-03-27T19:34:52Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Kassab D. Kh. I., Kamyshanskaya I. G., Trukhan S. V., Ladogubets N. A. Accuracy of a new intellectual method in measuring Cobb’s angle on spinal radiographs and the possibility of its clinical application. Vestnik of Saint Petersburg University. Medicine, 2023, vol. 18, issue 3, pp. 293–303. https://doi.org/10.21638/spbu11.2023.305 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu11.2023.305
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/45156
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Cobb’s angle is until now considered the gold standard method for measuring the angle of scoliosis. The subjectivity of this method has always been its main disadvantage. The aim of this work is to evaluate a new system (computer program) “Esper.Scoliosis”, based on artificial neural networks that can measure Cobb’s angle automatically on frontal radiographs. We compared the angles measured by the automatic system with measurements of a radiologist using a testing set of 114 digital X-rays with variable grades of scoliosis. In 84.8 % of scoliotic curvatures detected by the system, no significant measurement variability (< 2,5°) of the angles was found between the two methods. The system shows better results in X-rays with scoliosis
  grades 1 and 2. In our work, image quality has the largest effect on accuracy of the system and
  measurement’s variability. We concluded that controlled clinical use of “Esper.Scoliosis” for automatic Cobb’s angle measurement is recommended.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Medicine;Volume 18; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: scoliosis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: radiographs
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: artificial intelligence
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: spine
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: artificial neural networks
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Accuracy of a new intellectual method in measuring Cobb’s angle on spinal radiographs and the possibility of its clinical application
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 05.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/45156/1/05.pdf
resources.format: Adobe PDF
resources.size: 1,34 MB