为了调查当前影像组学研究领域的模型、代码和数据共享实践，并介绍一个影像组学研究数据库，我们对2021年1月1日至2022年12月31日期间在领先放射学期刊（European Radiology，European Journal of Radiology，Radiology，Radiology: Artificial Intelligence，Radiology: Cardiothoracic Imaging，Radiology: Imaging Cancer）上发表的1254篇文章进行了回顾性筛选，其中有257篇原始研究文章纳入了本研究。我们使用 Fisher 精确检验或卡方检验比较了分类变量，并使用学生 t 检验比较了数值变量与发表年份的关系。 在257篇文章中，一半（128篇）通过包含最终模型公式或报告选择的影像组学特征系数来共享模型。共有73个（28%）模型在外部独立数据集上进行了验证。只有16篇（6%）文章共享了数据或使用了公开可用的开放数据集。类似地，只有20篇（7%）文章共享了代码。总共有7篇（3%）文章同时共享代码和数据。本研究所收集的所有数据都在一个影像组学研究数据库（RadBase）中呈现，并可在 https://github.com/EuSoMII/RadBase 上进行访问。 根据本研究的结果，大多数发表的影像组学模型在技术上无法再现，因为它们既没有共享模型，也没有共享代码和数据。在影像组学领域，进行可再现和开放的研究仍有改进空间。 迄今为止，影像组学研究的可再现性以及影像组学研究团体内的开放科学实践仍然非常低。确保影像组学研究的可再现性，采用模型、代码和数据共享实践，将有助于更快地进行临床转化。 • 发表的影像组学论文数量与这些发表的影像组学模型的临床应用之间存在差异。 • 影响临床应用的主要障碍是缺乏模型、代码和数据共享实践。 • 为了将影像组学研究转化为临床实践，影像组学研究团体应采用开放科学实践。 © 2023. 作者（们）。

To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database.A total of 1254 articles published between January 1, 2021, and December 31, 2022, in leading radiology journals (European Radiology, European Journal of Radiology, Radiology, Radiology: Artificial Intelligence, Radiology: Cardiothoracic Imaging, Radiology: Imaging Cancer) were retrospectively screened, and 257 original research articles were included in this study. The categorical variables were compared using Fisher's exact tests or chi-square test and numerical variables using Student's t test with relation to the year of publication.Half of the articles (128 of 257) shared the model by either including the final model formula or reporting the coefficients of selected radiomics features. A total of 73 (28%) models were validated on an external independent dataset. Only 16 (6%) articles shared the data or used publicly available open datasets. Similarly, only 20 (7%) of the articles shared the code. A total of 7 (3%) articles both shared code and data. All collected data in this study is presented in a radiomics research database (RadBase) and could be accessed at https://github.com/EuSoMII/RadBase .According to the results of this study, the majority of published radiomics models were not technically reproducible since they shared neither model nor code and data. There is still room for improvement in carrying out reproducible and open research in the field of radiomics.To date, the reproducibility of radiomics research and open science practices within the radiomics research community are still very low. Ensuring reproducible radiomics research with model-, code-, and data-sharing practices will facilitate faster clinical translation.• There is a discrepancy between the number of published radiomics papers and the clinical implementation of these published radiomics models. • The main obstacle to clinical implementation is the lack of model-, code-, and data-sharing practices. • In order to translate radiomics research into clinical practice, the radiomics research community should adopt open science practices.© 2023. The Author(s).