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Session: Therapy General ePoster Viewing [Return to Session]

Automated Verification of Treatment Parameter Transfer Between TPS and OIS Databases Via Direct Value Comparison

W Donahue*, E Draeger, D Han, Z Chen, Yale University School of Medicine, New Haven, CT

Presentations

PO-GePV-T-147 (Sunday, 7/25/2021)   [Eastern Time (GMT-4)]

Purpose: Transferring treatment plans from a treatment planning system (TPS) to an oncology information system (OIS) for treatment delivery can introduce data errors, especially when manual manipulation is required. The accuracy of data transfer must be validated before commencing a treatment. The current practice of manual checks does not review all field parameters (e.g., MLC leaf positions). The purpose of this work was to automate this critical component of chart checks between Varian’s Eclipse TPS and Elekta’s Mosaiq OIS.

Methods: Eclipse-Mosaiq Transfer Validation (EMTV) was developed using the Eclipse Scripting API to read field parameters directly from Eclipse. It queries values from the Mosaiq database for comparison. EMTV checks the prescription dose, fractionation, and field parameters including individual control points. To test and validate the EMTV, two physicists performed chart checks with and without using EMTV. Errors detected by both processes were recorded to determine the validity of EMTV. Times used in chart check with and without EMTV were recorded to determine time savings.

Results: A total of 53 patient plans were evaluated. Manual checks revealed one error, while the EMTV flagged two plans with errors. A prescription mismatch for a patient transferred from a satellite was discovered by both; the fraction number was adjusted in Mosaiq but not in Eclipse. Another error, only detected by EMTV, occurred in individual control points; caused by rounding during the data transfer. The manual check averaged 2.5 ± 1.8 minutes while EMTV averaged 6.2 ± 5.3 seconds.

Conclusion: An automated tool for treatment parameter transfer verification has been developed and validated. EMTV was shown capable of catching mismatches in the plan parameters. It was 16 times faster than the current methods while being more comprehensive. The EMTV has a potential to streamlining the clinical workflow while improving patient safety.

ePosters

    Keywords

    Quality Assurance, Validation, Treatment Planning

    Taxonomy

    TH- External Beam- Photons: General (most aspects)

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