创伤性腰椎滑脱:病例报告
一个年轻患者创伤性腰椎滑脱的病例报告,提供CT和MRI影像数据及诊疗过程。

基本信息
资源简介
创伤性腰椎滑脱:病例报告
【一句话概览】
本数据集是 figshare 公开的影像数据集,收录 4 个文件、合计 1.18 MB,主题涵盖 Espondylolisthesis、Spinal fractures、Intervertebral disc、Case reports,可用于医学图像分割、检测与分类模型的训练与评测,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Traumatic lumbar espondylolisthesis: a case report》。配套论文《Traumatic lumbar espondylolisthesis: a case report》发表于 Coluna/Columna(2014),DOI:10.1590/S1808-185120141301RC104。源站首次发布:2022-06-07。
【数据内容】
源站原始描述:We present a case of traumatic espondylolisthesis L5 S1 A0 53 B3.3 ASIA B in a young patient after a high energy car accident. This entity is a rare injury that requires immediate attention. Treatment should be prompt in order to provide the best prognosis since this is an unstable and severe lesion that presents with neurological deficit in half of the patients. Computed tomography and magnetic resonance imaging have shown to be extremely valuable for the diagnosis and are mandatory for this ki…
【数据结构与技术规格】
文件数 4 个,合计 1.18 MB。数据集 DOI:10.6084/m9.figshare.20013430.v1。
【主题与分类】
源站学科分类:Orthopaedics、Rehabilitation and Therapy (excl. Physiotherapy)。主题标签:Espondylolisthesis、Spinal fractures、Intervertebral disc、Case reports。
【适用方向】
影像类数据可用于医学图像分析模型(检测、分割、分类)的训练与评测,也可用于标注质量与成像参数相关性的研究。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Traumatic_lumbar_espondylolisthesis_a_case_report/20013430
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Uribe, Enrique Vargas; Gallegos, José Luis González; Ramírez, Leonardo Gutiérrez (2014). Traumatic lumbar espondylolisthesis: a case report. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Traumatic lumbar espondylolisthesis: a case report
- DOI:10.6084/m9.figshare.20013430.v1
- 发布日期:2022-06-07
- 文件数:4 个
- 文件总体积:1.18 MB
- 源站页面:https://scielo.figshare.com/articles/dataset/Traumatic_lumbar_espondylolisthesis_a_case_report/20013430
命令行下载
curl -L -o "25b3f9055b5dd33952ebfcdf5d23626bb25f7794.jpg" "https://ndownloader.figshare.com/files/35657422"
curl -L -o "25b3f9055b5dd33952ebfcdf5d23626bb25f7794.jpg" "https://ndownloader.figshare.com/files/35657425"
curl -L -o "b91062632ac49d1d9380c2acb032c240acaebab3.jpg" "https://ndownloader.figshare.com/files/35657428"
curl -L -o "b91062632ac49d1d9380c2acb032c240acaebab3.jpg" "https://ndownloader.figshare.com/files/35657431"
文件清单
25b3f9055b5dd33952ebfcdf5d23626bb25f7794.jpg(315.00 KB)25b3f9055b5dd33952ebfcdf5d23626bb25f7794.jpg(315.00 KB)b91062632ac49d1d9380c2acb032c240acaebab3.jpg(276.80 KB)b91062632ac49d1d9380c2acb032c240acaebab3.jpg(276.80 KB)
文件总体积 1.18 MB(源站 API 实测)。
数据说明
We present a case of traumatic espondylolisthesis L5 S1 A0 53 B3.3 ASIA B in a young patient after a high energy car accident. This entity is a rare injury that requires immediate attention. Treatment should be prompt in order to provide the best prognosis since this is an unstable and severe lesion that presents with neurological deficit in half of the patients. Computed tomography and magnetic resonance imaging have shown to be extremely valuable for the diagnosis and are mandatory for this kind of injuries. In this case it is noteworthy that the intervertebral disk was intact. It is reported that if surgery is performed 24 to 48 hours after the accident, the improvement of neurological deficit is very feasible. In this case posterolateral fusion with autologous bone graft and multiplanar transpedicular posterior instrumentation and decompression were performed 52 hours after the accident. The patient presents one year after surgery with improvement in movement and sphincter control and with radiographic evidence of a complete fusion.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.20013430.v1(source: https://scielo.figshare.com/articles/dataset/Traumatic_lumbar_espondylolisthesis_a_case_report/20013430)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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