Data From RIDER Lung PET-CT

The RIDER Lung PET-CT collection was shared to facilitate the RIDER PET/CT subgroup activities. The PET/CT subgroup was responsible for: (1) archiving de-identified DICOM serial PET/CT phantom and lung cancer patient data in a public database to provide a resource for the testing and development of algorithms and imaging tools used for assessing response to therapy, (2) conducting multiple serial imaging studies of a long half-life phantom to assess systemic variance in serial PET/CT scans that is unrelated to response, and (3) identifying and recommending methods for quantifying sources of variance in PET/CT imaging with the goal of defining the change in PET measurements that may be unrelated to response to therapy, thus defining the absolute minimum effect size that should be used in the design of clinical trials using PET measurements as end points.本RIDER肺部PET-CT数据集对外共享，旨在助力RIDER PET-CT亚组开展各项工作。该PET-CT亚组的工作职责包括：1. 将去标识化的医学数字成像和通信（DICOM）序列PET-CT体模及肺癌患者数据归档至公共数据库，为用于评估治疗响应的算法与成像工具的测试与开发提供资源支撑；2. 针对长半衰期体模开展多序列成像研究，以评估与治疗响应无关的PET-CT序列扫描的系统变异；3. 确定并推荐量化PET-CT成像变异来源的方法，旨在明确与治疗响应无关的PET检测值变化范围，进而确定以PET检测值作为终点指标的临床试验设计中应采用的绝对最小效应量。

搜集汇总

背景与挑战

背景概述

该数据集是RIDER Lung PET-CT集合，包含去标识化的DICOM序列PET/CT幻影和肺癌患者数据，主要用于支持算法开发和成像工具测试，以评估癌症治疗反应。其特点包括通过幻影研究量化PET/CT扫描中的系统方差，并定义与治疗无关的PET测量变化，为临床试验设计提供参考标准。