A DICOM based radiotherapy plan database for research collaboration and reporting

17th International Conference on the Use of Computers in Radiation Therapy

物理学;计算机科学

Westberg, J.^1 ; Krogh, S.^1 ; Brink, C.^1,2 ; Vogelius, I.R.^3

Laboratory of Radiation Physics, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense, Denmark^1

Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 5000 Odense, Denmark^2

Department of Radiation Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 København Ø. Copenhagen, Denmark^3

关键词: Central systems;    Continuous monitoring;    Dose-volume histograms;    Microsoft .NET;    Research collaborations;    Research studies;    Secure networks;    Software services;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/489/1/012100/pdf
DOI  :  10.1088/1742-6596/489/1/012100

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Purpose: To create a central radiotherapy (RT) plan database for dose analysis and reporting, capable of calculating and presenting statistics on user defined patient groups. The goal is to facilitate multi-center research studies with easy and secure access to RT plans and statistics on protocol compliance. Methods: RT institutions are able to send data to the central database using DICOM communications on a secure computer network. The central system is composed of a number of DICOM servers, an SQL database and in-house developed software services to process the incoming data. A web site within the secure network allows the user to manage their submitted data. Results: The RT plan database has been developed in Microsoft .NET and users are able to send DICOM data between RT centers in Denmark. Dose-volume histogram (DVH) calculations performed by the system are comparable to those of conventional RT software. A permission system was implemented to ensure access control and easy, yet secure, data sharing across centers. The reports contain DVH statistics for structures in user defined patient groups. The system currently contains over 2200 patients in 14 collaborations. Conclusions: A central RT plan repository for use in multi-center trials and quality assurance was created. The system provides an attractive alternative to dummy runs by enabling continuous monitoring of protocol conformity and plan metrics in a trial.