公开儿科脑积水多结构标注数据集，含脉络丛分割与临床关联分析
HyKid: An Open MRI Dataset with Expert-Annotated Multi-Structure and Choroid Plexus in Pediatric Hydrocephalus
- 基于重建3D MRI与专家标注，包含5类脑组织及脉络丛分割
- 脉络丛体积与脑脊液总量相关性高（AUC=0.87），具潜在生物标志物价值
- 适合神经影像算法开发与脑积水机制研究者使用
儿童脑积水评估面临挑战，且受限于缺乏公开可用的专家标注数据集，尤其是脉络丛分割数据。为此，我们提出HyKid，一个来自48名儿科脑积水患者的开源数据集。提供3D MRI，分辨率1mm各向同性，由常规低分辨率图像通过切片到体积分割算法重建。由经验丰富的神经科医生手动修正了脑组织分割结果，包括白质、灰质、侧脑室、外脑脊液以及脉络丛。此外，利用检索增强生成框架从临床放射报告中提取结构化数据。脉络丛体积与总脑脊液体积呈现强相关性，为脑积水评估提供了潜在生物标志物，在预测模型中表现优异（AUC = 0.87）。HyKid数据集为神经影像算法开发提供了高质量基准，并揭示了脉络丛在脑积水评估中的特征。数据集已公开于https://www.synapse.org/Synapse:syn68544889。
原文摘要 · Abstract (English)
Evaluation of hydrocephalus in children is challenging, and the related research is limited by a lack of publicly available, expert-annotated datasets, particularly those with segmentation of the choroid plexus. To address this, we present HyKid, an open-source dataset from 48 pediatric patients with hydrocephalus. 3D MRIs were provided with 1mm isotropic resolution, which was reconstructed from routine low-resolution images using a slice-to-volume algorithm. Manually corrected segmentations of brain tissues, including white matter, grey matter, lateral ventricle, external CSF, and the choroid plexus, were provided by an experienced neurologist. Additionally, structured data was extracted from clinical radiology reports using a Retrieval-Augmented Generation framework. The strong correlation between choroid plexus volume and total CSF volume provided a potential biomarker for hydrocephalus evaluation, achieving excellent performance in a predictive model (AUC = 0.87). The proposed HyKid dataset provided a high-quality benchmark for neuroimaging algorithms development, and it revealed the choroid plexus-related features in hydrocephalus assessments. Our datasets are publicly available at https://www.synapse.org/Synapse:syn68544889.
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