Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data

Abstract Thoracic ossification of the ligamentum flavum (TOLF) complicated with dural ossification (DO) is a severe clinical disease. The diagnosis of DO preoperatively remains challenging. The current study retrospectively analyzed imaging features of 102 segments with TOLF from 39 patients and pro...

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Autores principales:	Sheng-yuan Zhou, Bo Yuan, Xiong-sheng Chen, Xue-bin Li, Wei Zhu, Lian-shun Jia
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8f781f8dd8e04fce9a04371609cd71cb
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spelling	oai:doaj.org-article:8f781f8dd8e04fce9a04371609cd71cb2021-12-02T15:05:43ZImaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data10.1038/s41598-017-03178-x2045-2322https://doaj.org/article/8f781f8dd8e04fce9a04371609cd71cb2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03178-xhttps://doaj.org/toc/2045-2322Abstract Thoracic ossification of the ligamentum flavum (TOLF) complicated with dural ossification (DO) is a severe clinical disease. The diagnosis of DO preoperatively remains challenging. The current study retrospectively analyzed imaging features of 102 segments with TOLF from 39 patients and proposed a grading system for evaluating DO risk. Logistic regression results showed that unilateral spinal canal occupational rate (UCOR), tram track signs, and C-signs were all risk factors for DO (odds ratios of 5.393, 19.734 and 72.594, respectively). In validation analyses for the TOLF-DO grading system, sensitivity was 76.0% (19/25), specificity was 91.0% (70/77), and Youden’s index was 0.66. Thus, implementation of the TOLF-DO grading system has the potential to improve the diagnosis of DO.Sheng-yuan ZhouBo YuanXiong-sheng ChenXue-bin LiWei ZhuLian-shun JiaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-5 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sheng-yuan Zhou Bo Yuan Xiong-sheng Chen Xue-bin Li Wei Zhu Lian-shun Jia Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data
description	Abstract Thoracic ossification of the ligamentum flavum (TOLF) complicated with dural ossification (DO) is a severe clinical disease. The diagnosis of DO preoperatively remains challenging. The current study retrospectively analyzed imaging features of 102 segments with TOLF from 39 patients and proposed a grading system for evaluating DO risk. Logistic regression results showed that unilateral spinal canal occupational rate (UCOR), tram track signs, and C-signs were all risk factors for DO (odds ratios of 5.393, 19.734 and 72.594, respectively). In validation analyses for the TOLF-DO grading system, sensitivity was 76.0% (19/25), specificity was 91.0% (70/77), and Youden’s index was 0.66. Thus, implementation of the TOLF-DO grading system has the potential to improve the diagnosis of DO.
format	article
author	Sheng-yuan Zhou Bo Yuan Xiong-sheng Chen Xue-bin Li Wei Zhu Lian-shun Jia
author_facet	Sheng-yuan Zhou Bo Yuan Xiong-sheng Chen Xue-bin Li Wei Zhu Lian-shun Jia
author_sort	Sheng-yuan Zhou
title	Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data
title_short	Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data
title_full	Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data
title_fullStr	Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data
title_full_unstemmed	Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data
title_sort	imaging grading system for the diagnosis of dural ossification based on 102 segments of tolf ct bone-window data
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/8f781f8dd8e04fce9a04371609cd71cb
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_version_	1718388717594345472

Imaging grading system for the diagnosis of dural ossification based on 102 segments of TOLF CT bone-window data

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