Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95323
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dc.contributorDepartment of Biomedical Engineeringen_US
dc.creatorYang, Den_US
dc.creatorLee, TTYen_US
dc.creatorLai, KKLen_US
dc.creatorWong, YSen_US
dc.creatorWong, LNen_US
dc.creatorYang, JLen_US
dc.creatorLam, TPen_US
dc.creatorCastelein, RMen_US
dc.creatorCheng, JCYen_US
dc.creatorZheng, YPen_US
dc.date.accessioned2022-09-17T06:40:31Z-
dc.date.available2022-09-17T06:40:31Z-
dc.identifier.urihttp://hdl.handle.net/10397/95323-
dc.language.isoenen_US
dc.rights© 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Yang, D., Lee, T. T. Y., Lai, K. K. L., Wong, Y. S., Wong, L. N., Yang, J. L., ... & Zheng, Y. P. (2021). A novel classification method for mild adolescent idiopathic scoliosis using 3D ultrasound imaging. Medicine in Novel Technology and Devices, 11, 100075 is available at https://doi.org/10.1016/j.medntd.2021.100075.en_US
dc.subjectAIS classificationen_US
dc.subject3D ultrasounden_US
dc.subjectMild AISen_US
dc.subjectSpine flexibilityen_US
dc.titleA novel classification method for mild adolescent idiopathic scoliosis using 3D ultrasound imagingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume11en_US
dc.identifier.doi10.1016/j.medntd.2021.100075en_US
dcterms.abstractMild adolescent idiopathic scoliosis (AIS), with Cobb<20°, was hypothesized as the right stage to intervene to prevent progression. AIS curve can be categorized into either structural or non-structural depending on the spine morphology (flexibility). Using X-ray to characterize AIS curves remains the clinical gold standard while compromising the risks of radiation exposure. In previous works, 3D ultrasound imaging had proved the reliability of the coronal spinal curvature measurement. This research aimed at developing a mild AIS classification scheme through examining spine flexibility using 3D ultrasound imaging.en_US
dcterms.abstractFor the preliminary study, 90 mild AIS subjects (21 ​M and 69 ​F; Age:14.5 ​± ​1.7 years old; Cobb: 18.2 ​± ​6.4°) underwent both 3D ultrasound and X-ray scanning on the same day. For each case, a clinician measured Cobbs and denoted major curve as ground truth. Bending Asymmetry Index (BAI) was developed to indicate the presence of a possible structural curve. The curve classification was coded to a modified Lenke classification for mild cases (m-Lenke). The results of 3D ultrasound classification were evaluated with the X-ray.en_US
dcterms.abstractIt was shown that 70.1% of the subjects had identical curve classification results and 72.0% had the correct major curve detection. Lumbar-dominated curves had distinctive performance (p ​= ​0.91, r ​= ​0.91) against others. The study demonstrated the possibility of a 3D ultrasound-based method for mild AIS curve classification. The discrepancies could be partially explained by the limitations of the ultrasound scanning in proximal thoracic region. Subsequent studies will validate the proposed method with a larger cohort.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMedicine in novel technology and devices, Sept. 2021, v. 11, 100075en_US
dcterms.isPartOfMedicine in novel technology and devicesen_US
dcterms.issued2021-09-
dc.identifier.ros2021004128-
dc.identifier.artn100075en_US
dc.description.validate202209 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2021-2022-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHealth and Medical Research Fund of the Hong Kongen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS69549974-
dc.description.oaCategoryCCen_US
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