Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94163
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | - |
dc.creator | Yang, D | - |
dc.creator | Lee, TTY | - |
dc.creator | Lai, KKL | - |
dc.creator | Lam, TP | - |
dc.creator | Chu, WCW | - |
dc.creator | Castelein, RM | - |
dc.creator | Cheng, JCY | - |
dc.creator | Zheng, YP | - |
dc.date.accessioned | 2022-08-11T01:07:32Z | - |
dc.date.available | 2022-08-11T01:07:32Z | - |
dc.identifier.issn | 2212-134X | - |
dc.identifier.uri | http://hdl.handle.net/10397/94163 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © The Author(s), under exclusive licence to Scoliosis Research Society 2021 | en_US |
dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s43390-021-00421-4. | en_US |
dc.subject | 3D ultrasound | en_US |
dc.subject | AIS | en_US |
dc.subject | Cobb | en_US |
dc.subject | Scoliotic angles | en_US |
dc.subject | Transverse process | en_US |
dc.title | Semi-automatic ultrasound curve angle measurement for adolescent idiopathic scoliosis | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 351 | - |
dc.identifier.epage | 359 | - |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 2 | - |
dc.identifier.doi | 10.1007/s43390-021-00421-4 | - |
dcterms.abstract | Purpose: Using X-ray to evaluate adolescent idiopathic scoliosis (AIS) conditions is the clinical gold standard, with potential radiation hazards. 3D ultrasound has demonstrated its validity and reliability of estimating X-ray Cobb angle (XCA) using spinous process angle (SPA), which can be automatically measured. While angle measurement with ultrasound using spine transverse process-related landmarks (UCA) shows better agreed with XCA, its automatic measurement is challenging and not available yet. This research aimed to analyze and measure scoliotic angles through a novel semi-automatic UCA method. | - |
dcterms.abstract | Methods: 100 AIS subjects (age: 15.0 ± 1.9 years, gender: 19 M and 81 F, Cobb: 25.5 ± 9.6°) underwent both 3D ultrasound and X-ray scanning on the same day. Scoliotic angles with XCA and UCA methods were measured manually; and transverse process-related features were identified/drawn for the semi-automatic UCA method. The semi-automatic method measured the spinal curvature with pairs of thoracic transverse processes and lumbar lumps in respective regions. | - |
dcterms.abstract | Results: The new semi-automatic UCA method showed excellent correlations with manual XCA (R2 = 0.815: thoracic angles R2 = 0.857, lumbar angles R2 = 0.787); and excellent correlations with manual UCA (R2 = 0.866: thoracic angles R2 = 0.921, lumbar angles R2 = 0.780). The Bland–Altman plot also showed a good agreement against manual UCA/XCA. The MADs of semi-automatic UCA against XCA were less than 5°, which is clinically insignificant. Conclusion: The semi-automatic UCA method had demonstrated the possibilities of estimating manual XCA and UCA. Further advancement in image processing to detect the vertebral landmarks in ultrasound images could help building a fully automated measurement method. | - |
dcterms.abstract | Level of evidence: Level III. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Spine deformity, Mar. 2022, v. 10, no. 2, p. 351-359 | - |
dcterms.isPartOf | Spine deformity | - |
dcterms.issued | 2022-03 | - |
dc.identifier.scopus | 2-s2.0-85118548106 | - |
dc.identifier.pmid | 34734360 | - |
dc.description.validate | 202208 bcrc | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1629 | en_US |
dc.identifier.SubFormID | 45663 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
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