标题： UltraEar：一个结合超高分辨率计算机断层扫描和临床数据的多中心大型数据库，用于耳部疾病 显示英文标题

标题： UltraEar: a multicentric, large-scale database combining ultra-high-resolution computed tomography and clinical data for ear diseases

摘要： 耳部疾病影响全球数十亿人，导致严重的健康和社会经济负担。 计算机断层扫描（CT）在准确诊断、治疗计划和结果评估中起着关键作用。 本研究的目的是介绍UltraEar数据库的建立和设计，这是一个大规模、多中心的存储库，包含各向同性的0.1毫米超高分辨率CT（U-HRCT）图像及相关临床数据，专门用于耳部疾病。 UltraEar从2020年10月至2035年10月期间的11家三级医院招募患者，整合了U-HRCT图像、结构化CT报告和全面的临床信息，包括人口统计学数据、听力图谱、手术记录和病理发现。 涵盖了广泛的耳科疾病，如中耳炎、胆脂瘤、听骨链畸形、颞骨骨折、内耳畸形、耳蜗孔狭窄、前庭水管扩大和乙状窦骨性缺损。 已为几何校准、图像标注和多结构分割开发了标准化的预处理流程。 所有DICOM头文件和元数据中的个人标识符都被删除或匿名化，以确保符合数据隐私法规。 通过每月专家小组会议协调数据收集和整理，并在离线云系统上安全存储。 UltraEar提供了一个前所未有的超高分辨率参考图谱，具有技术精确性和临床相关性。 这一资源有潜力推动放射学研究，促进人工智能算法的开发和验证，作为耳科影像培训的教育工具，并支持多机构合作研究。 UltraEar将持续更新和扩展，确保全球耳科研究界长期的可访问性和可用性。 显示英文摘要

摘要： Ear diseases affect billions of people worldwide, leading to substantial health and socioeconomic burdens. Computed tomography (CT) plays a pivotal role in accurate diagnosis, treatment planning, and outcome evaluation. The objective of this study is to present the establishment and design of UltraEar Database, a large-scale, multicentric repository of isotropic 0.1 mm ultra-high-resolution CT (U-HRCT) images and associated clinical data dedicated to ear diseases. UltraEar recruits patients from 11 tertiary hospitals between October 2020 and October 2035, integrating U-HRCT images, structured CT reports, and comprehensive clinical information, including demographics, audiometric profiles, surgical records, and pathological findings. A broad spectrum of otologic disorders is covered, such as otitis media, cholesteatoma, ossicular chain malformation, temporal bone fracture, inner ear malformation, cochlear aperture stenosis, enlarged vestibular aqueduct, and sigmoid sinus bony deficiency. Standardized preprocessing pipelines have been developed for geometric calibration, image annotation, and multi-structure segmentation. All personal identifiers in DICOM headers and metadata are removed or anonymized to ensure compliance with data privacy regulation. Data collection and curation are coordinated through monthly expert panel meetings, with secure storage on an offline cloud system. UltraEar provides an unprecedented ultra-high-resolution reference atlas with both technical fidelity and clinical relevance. This resource has significant potential to advance radiological research, enable development and validation of AI algorithms, serve as an educational tool for training in otologic imaging, and support multi-institutional collaborative studies. UltraEar will be continuously updated and expanded, ensuring long-term accessibility and usability for the global otologic research community.