胸部低剂量CT时序库

本数据集是基于低剂量CT技术构建的纵向影像数据库，系统追踪胸肺部病变的时序性演变规律，覆盖肺癌早期筛查及慢性肺病随访等场景，精确记录肺结节体积变化、磨玻璃影动态特征、间质性病变演变等关键信息。通过提供标准化时序影像资源，推动肺结节智能追踪、肿瘤演进预测及个体化随访方案的优化，为胸部疾病的精准防控与动态管理提供坚实的数据基础。

This dataset is a longitudinal imaging database constructed via low-dose computed tomography (low-dose CT) technology. It systematically tracks the temporal evolution patterns of thoracic and pulmonary lesions, encompassing scenarios such as early lung cancer screening and chronic lung disease follow-up. Critical information including volumetric changes of pulmonary nodules, dynamic features of ground-glass opacities, and progression of interstitial lesions is precisely recorded. By offering standardized longitudinal imaging resources, this dataset promotes intelligent pulmonary nodule tracking, tumor progression prediction, and optimization of individualized follow-up regimens, providing a robust data foundation for precise prevention and control as well as dynamic management of thoracic diseases.

搜集汇总

背景与挑战

背景概述

该数据集是一个基于低剂量CT技术的纵向影像数据库，专注于追踪胸肺部病变的时序性演变规律，覆盖肺癌早期筛查和慢性肺病随访等场景，记录肺结节体积变化、磨玻璃影动态特征等关键信息。它具有大规模存储（230 TB）和全国覆盖范围，每年更新一次，旨在推动肺结节智能追踪和个体化随访方案的优化，为胸部疾病的精准防控提供数据支持。