Back to Search Start Over

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

Authors :
Ballhausen, Hendrik
Corradini, Stefanie
Belka, Claus
Bogdanov, Dan
Boldrini, Luca
Bono, Francesco
Goelz, Christian
Landry, Guillaume
Panza, Giulia
Parodi, Katia
Talviste, Riivo
Tran, Huong Elena
Gambacorta, Maria Antonietta
Marschner, Sebastian
Source :
NPJ Digital Medicine; 10/14/2024, Vol. 7 Issue 1, p1-12, 12p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23986352
Volume :
7
Issue :
1
Database :
Complementary Index
Journal :
NPJ Digital Medicine
Publication Type :
Academic Journal
Accession number :
180236106
Full Text :
https://doi.org/10.1038/s41746-024-01293-4