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甲状腺相关眼病的眼眶计算机断层扫描影像学特征。

Orbital computed tomography imaging characteristics of thyroid-associated ophthalmopathy.

机构信息

The Affiliated Eye Hospital, Jiangxi Medical College, Nanchang University, No. 463 Bayi Avenue, Nanchang City, 330006, Jiangxi Province, China.

Jiangxi Clinical Research Center for Ophthalmic Disease, Nanchang, Jiangxi, China.

出版信息

Sci Rep. 2024 Nov 22;14(1):28960. doi: 10.1038/s41598-024-76624-2.

DOI:10.1038/s41598-024-76624-2
PMID:39578469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11584846/
Abstract

This study aims to investigate the distribution characteristics and correlations of orbital soft tissue volume expansion in patients with thyroid-associated ophthalmopathy (TAO) by analyzing orbital computed tomography (CT) data and to determine the most appropriate parameters and corresponding cut-off values for imaging classification. Patients with TAO who met the inclusion and exclusion criteria, along with those with lacrimal duct obstruction requiring orbital CT examination, were included in the study. Raw CT data were imported into Mimics and RadiAnt software for analysis, and measurements of orbital volume, orbital fat volume, extraocular muscle volume, optic nerve volume, and exophthalmos were obtained. The results demonstrated that the combination of Mimics and other softwares for processing orbital CT scans allows for the quantitative analysis of various soft tissue volumes within the orbit. The MV/FV ratio was found to effectively reflect the relative changes in extraocular muscle volume, serving as a valuable indicator for identifying different subtypes of TAO and providing significant clinical reference value.

摘要

本研究旨在通过分析眼眶 CT 数据，探讨甲状腺相关眼病（TAO）患者眼眶软组织容积扩张的分布特征及相关性，并确定影像学分类的最佳参数及相应截断值。纳入符合纳入排除标准的 TAO 患者及需要眼眶 CT 检查的泪道阻塞患者，将原始 CT 数据导入 Mimics 和 RadiAnt 软件进行分析，测量眼眶容积、眶脂容积、眼外肌容积、视神经容积和眼球突出度。结果表明，Mimics 联合其他软件处理眼眶 CT 扫描可以实现眼眶内各种软组织容积的定量分析。MV/FV 比值能有效反映眼外肌容积的相对变化，是鉴别不同亚型 TAO 的有价值指标，具有重要的临床参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3fd25967c363/41598_2024_76624_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3b22b2321ff2/41598_2024_76624_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/ca8d3e3efa0f/41598_2024_76624_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/1c6e5e82c23a/41598_2024_76624_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/23cab00b1bad/41598_2024_76624_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/29275ac9d542/41598_2024_76624_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/36ebd555a85a/41598_2024_76624_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3183442873b5/41598_2024_76624_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/fd9cc01156a6/41598_2024_76624_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3fd25967c363/41598_2024_76624_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3b22b2321ff2/41598_2024_76624_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/ca8d3e3efa0f/41598_2024_76624_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/1c6e5e82c23a/41598_2024_76624_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/23cab00b1bad/41598_2024_76624_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/29275ac9d542/41598_2024_76624_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/36ebd555a85a/41598_2024_76624_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3183442873b5/41598_2024_76624_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/fd9cc01156a6/41598_2024_76624_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/963c/11584846/3fd25967c363/41598_2024_76624_Fig9_HTML.jpg

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