Sirius扫描对设备内重复性数据集

用于评估角膜屈光手术前瞳孔直径测量重复性的医学影像数据集,包含三种设备扫描对。

Figshare
2023-08-18 更新
浏览 59
医学影像wide loa rangestwo private centersstatistically significant differencesoptimal level acrossintraclass correlation coefficientexamined preoperative measurementscorneal refractive surgerythree consecutive scanspentacam measurements resultedthree different devicesthree devicesxlink ">
Intra-device repeatability of Sirius scan pairs

基本信息

模态
医学影像
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2023-08-18
版本
v1

资源简介

Sirius扫描对设备内重复性数据集

【数据集背景】

本数据集源站标题为《Intra-device repeatability of Sirius scan pairs.》。源站首次发布:2023-08-18。

【数据内容】

源站原始描述:Purpose To evaluate the intra- and inter-device repeatability of pupil diameter measurements using three different devices in patients prior to corneal refractive surgery. Methods We examined preoperative measurements from a total of 204 eyes (102 patients) scheduled for corneal refractive surgery at two private centers between July and December 2021. Three consecutive scans were performed with three different devices (Sirius anterior segment analyzer, Pentacam HR, IOLMaster 500) in the same ses…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 3.xls:undefined,5.63 KB。数据集 DOI:10.1371/journal.pone.0290417.t003。

【主题与分类】

源站学科分类:Space Science、Medicine、Microbiology、Molecular Biology、Biotechnology、Cancer。主题标签:wide loa ranges、two private centers、statistically significant differences、optimal level across、intraclass correlation coefficient、examined preoperative measurements、corneal refractive surgery、three consecutive scans、pentacam measurements resulted、three different devices。

【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://plos.figshare.com/articles/dataset/Intra-device_repeatability_of_Sirius_scan_pairs_/23990467

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Saad, Amr; Steinberg, Johannes; Frings, Andreas (2023). Intra-device repeatability of Sirius scan pairs.. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/42070387"

文件清单

  • Table 3.xls(5.63 KB)

文件总体积 5.63 KB(源站 API 实测)。

数据说明

Purpose
To evaluate the intra- and inter-device repeatability of pupil diameter measurements using three different devices in patients prior to corneal refractive surgery.
Methods
We examined preoperative measurements from a total of 204 eyes (102 patients) scheduled for corneal refractive surgery at two private centers between July and December 2021. Three consecutive scans were performed with three different devices (Sirius anterior segment analyzer, Pentacam HR, IOLMaster 500) in the same session by the same examiner under standardized conditions. To assess the intra- and inter-device repeatability, we calculated the Intraclass Correlation Coefficient (ICC) and demonstrated results using Bland-Altman plots.
Results
The measurement accuracy (intra-device repeatability) of Sirius and IOLMaster was comparable (ICC = 0.64 and 0.61, respectively), with almost no statistically significant differences. Sirius showed the highest measurement accuracy among the three devices. Pentacam measurements resulted in lower precision, with an ICC of 0.09. The agreement between the pairs of devices (inter-device repeatability) was low (wide LoA ranges, Table 5).
Conclusion
In this study, the intra-device repeatability of Sirius and IOLMaster was higher than that of the Pentacam, although it did not achieve an optimal level across all three devices. The three devices examined cannot be used interchangeably.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0290417.t003(source: https://plos.figshare.com/articles/dataset/Intra-device_repeatability_of_Sirius_scan_pairs_/23990467)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案