| Literature DB >> 32240368 |
Surajit Kundu1, Santam Chakraborty2, Sanjoy Chatterjee3,2, Syamantak Das3,2, Rimpa Basu Achari3,2, Jayanta Mukhopadhyay3,2, Partha Pratim Das3,2, Indranil Mallick3,2, Moses Arunsingh3,2, Tapesh Bhattacharyyaa3,2, Soumendranath Ray3,2.
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.Entities:
Keywords: CHAVI-DDIS; DICOM; De-identification; PHI; RLTI; Radiomics
Mesh:
Year: 2020 PMID: 32240368 DOI: 10.1007/s10916-020-01563-0
Source DB: PubMed Journal: J Med Syst ISSN: 0148-5598 Impact factor: 4.460