在一项欧洲试点研究中,通过安全的多方计算对患者数据进行隐私友好型评估

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Hendrik Ballhausen, Stefanie Corradini, Claus Belka, Dan Bogdanov, Luca Boldrini, Francesco Bono, Christian Goelz, Guillaume Landry, Giulia Panza, Katia Parodi, Riivo Talviste, Huong Elena Tran, Maria Antonietta Gambacorta, Sebastian Marschner
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引用次数: 0

摘要

在多中心研究中,机构间的数据共享可能会对患者隐私或数据安全造成负面影响。一种替代方法是通过安全的多方计算进行联合分析。这项试验性研究展示了一种架构和实施方法,它能在严格的欧洲患者隐私和数据保护法规范围内,解决癌症患者临床研究中特别苛刻的技术挑战和法律难题:德国慕尼黑 LMU 大学医院的 24 名患者和意大利罗马 Policlinico Universitario Fondazione Agostino Gemelli 的 24 名患者在实时磁共振的引导下,接受了通常为 40 Gy 分 3 或 5 次的在线自适应放疗,治疗肾上腺转移瘤。结果显示,局部控制率高(21%完全缓解,27%部分缓解,40%病情稳定),毒性低(73%报告无毒性)。中位总生存期为 19 个月。研究发现,通过对欧洲健康数据空间中的患者数据进行隐私友好型评估,联合分析可提高临床科学水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study
In multicentric studies, data sharing between institutions might negatively impact patient privacy or data security. An alternative is federated analysis by secure multiparty computation. This pilot study demonstrates an architecture and implementation addressing both technical challenges and legal difficulties in the particularly demanding setting of clinical research on cancer patients within the strict European regulation on patient privacy and data protection: 24 patients from LMU University Hospital in Munich, Germany, and 24 patients from Policlinico Universitario Fondazione Agostino Gemelli, Rome, Italy, were treated for adrenal gland metastasis with typically 40 Gy in 3 or 5 fractions of online-adaptive radiotherapy guided by real-time MR. High local control (21% complete remission, 27% partial remission, 40% stable disease) and low toxicity (73% reporting no toxicity) were observed. Median overall survival was 19 months. Federated analysis was found to improve clinical science through privacy-friendly evaluation of patient data in the European health data space.
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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