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De-Identification of Radiomics Data Retaining Longitudinal Temporal Information.

Authors :
Kundu, Surajit
Chakraborty, Santam
Chatterjee, Sanjoy
Das, Syamantak
Achari, Rimpa Basu
Mukhopadhyay, Jayanta
Das, Partha Pratim
Mallick, Indranil
Arunsingh, Moses
Bhattacharyyaa, Tapesh
Ray, Soumendranath
Source :
Journal of Medical Systems. May2020, Vol. 44 Issue 5, p1-15. 15p. 1 Color Photograph, 5 Diagrams, 4 Charts, 2 Graphs.
Publication Year :
2020

Abstract

We propose a de-identification system which runs in a standalone mode. The system takes care of the de-identification of radiation oncology patient's clinical and annotated imaging data including RTSTRUCT, RTPLAN, and RTDOSE. The clinical data consists of diagnosis, stages, outcome, and treatment information of the patient. The imaging data could be the diagnostic, therapy planning, and verification images. Archival of the longitudinal radiation oncology verification images like cone beam CT scans along with the initial imaging and clinical data are preserved in the process. During the de-identification, the system keeps the reference of original data identity in encrypted form. These could be useful for the re-identification if necessary. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01485598
Volume :
44
Issue :
5
Database :
Academic Search Index
Journal :
Journal of Medical Systems
Publication Type :
Academic Journal
Accession number :
143018942
Full Text :
https://doi.org/10.1007/s10916-020-01563-0