通过MRI探索成年质瘤:对公开可用的数据集进行审查,以指导高效的图像分析
Meryem Abbad Andaloussi1,2, Raphael Maser2, Frank Hertel3
1Faculty of Science, Technology and Medicine, University of Luxembourg, University of Luxembourg, Belvaux, Luxembourg.
Neuro-oncology advances
|January 29, 2025
概括
这次审查确定了28个公共质瘤MRI数据集,总共超过62,000张图像. 很少有数据集反映了世卫组织最新的脑瘤分类,强调需要更新机器学习在神经瘤学的资源.
科学领域:
- 医学图像分析 医学图像分析
- 神经瘤学神经瘤学
- 机器学习 机器学习
背景情况:
- 公共可用的数据对于推进医学图像分析和机器学习模型至关重要.
- 质瘤是一种常见的原发性脑瘤,经常使用磁共振成像 (MRI) 进行诊断和治疗.
- 公共质瘤MRI数据集的可用性和质量在很大程度上是未知的,这阻碍了研究进展.
研究的目的:
- 系统地审查和描述质瘤磁共振成像 (MRI) 的公开可用的数据集.
- 评估现有数据集对当前神经瘤学研究的适用性,特别是考虑到不断变化的瘤分类.
- 引导研究人员选择适合机器学习应用的数据集,用于质瘤分析.
主要方法:
- 使用谷歌数据集搜索,癌症成像档案和Synapse进行了对公共质瘤MRI数据集的全面搜索.
- 分析包括数据集特征,如来源,大小,图像格式,注释可用性和可访问性.
- 研究了数据集中的瘤类型,等级和阶段的分布,以及世界卫生组织 (WHO) 分类更新的影响.
主要成果:
- 在2005年至2024年5月期间发布的共28个公共质瘤MRI数据集被确定,包括来自5515名患者的62,019张图像.
- 分析了数据集特征,包括来源,大小,格式,注释和可访问性.
- 值得注意的是,在审查的28个数据集中,只有2个包含了2021年世界卫生组织 (WHO) 对脑瘤的最新分类.
结论:
- 本综述提供了可用的公共质瘤MRI数据集的全面概述,帮助研究人员选择数据集.
- 现有数据集中目前世卫组织分类的有限代表性为当代研究带来了重大差距.
- 确定的研究途径包括瘤进化,MRI正常化和细分,强调需要更新和注释良好的数据集.
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