在多中心研究中，机构之间的数据共享可能会对患者隐私或数据安全产生负面影响。另一种方法是通过安全多方计算进行联合分析。这项试点研究展示了一种架构和实施方案，可解决在严格的欧洲患者隐私和数据保护法规下对癌症患者进行临床研究的特别苛刻的环境中的技术挑战和法律困难：来自德国慕尼黑慕尼黑大学医院的 24 名患者，以及来自意大利罗马 Policlinico Universitario Fondazione Gemelli 的 24 名患者接受了实时 MR 引导的在线自适应放疗，通常分 3 或 5 次进行 40Gy 的肾上腺转移治疗。观察到高局部控制（21% 完全缓解、27% 部分缓解、40% 疾病稳定）和低毒性（73% 报告无毒性）。中位总生存期为 19 个月。研究发现，联合分析可以通过对欧洲健康数据空间中的患者数据进行隐私友好的评估来改善临床科学。© 2024。作者。

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.© 2024. The Author(s).