Article ; Online: A sub-analysis of multi-center planning radiosurgery for intracranial metastases through automation (MC-PRIMA) comparing UK and international centers.
2023 Volume 117, Page(s) 103996
Abstract: Objectives: A sub-analysis of the MC-PRIMA study was performed to compare the plan quality of stereotactic radiosurgery (SRS) to multiple brain metastases (MBM) between UK and other international centres.: Methods and materials: Six centres from the ... ...
Abstract | Objectives: A sub-analysis of the MC-PRIMA study was performed to compare the plan quality of stereotactic radiosurgery (SRS) to multiple brain metastases (MBM) between UK and other international centres. Methods and materials: Six centres from the UK and nineteen from other international centres autoplanned using Multiple Brain Mets™ (AutoMBM; Brainlab, Munich, Germany) software for a five MBM study case from a prior planning competition that was originally organized by the Trans-Tasmania Radiation Oncology Group (TROG). Twenty-three dosimetric metrics and the resulting composite plan score per the TROG planning competition were compared between the UK and other international centres. Planning experience and planning time from each planner were recorded and statistically compared. Results: Planning experiences between two groups are equal. Except for mean dose to the hippocampus, all other 22 dosimetric metrics were comparable between two groups. The inter-planner variations in these 23 dosimetric metrics and the composite plan score were also statistically equivalent. Planning time is slightly longer in the UK group (mean = 86.8 min) with a mean difference of 50.3 min. Conclusions: AutoMBM effectively achieves standardization of the plan quality of SRS to MBM within UK and further against the other international centres. Significant planning efficiency gain by AutoMBM both among the UK and other international centres may help to increase the capacity of SRS service by alleviating the clinical and technical loadings. |
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MeSH term(s) | Radiosurgery/methods ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted/methods ; Automation ; United Kingdom |
Language | English |
Publishing date | 2023-05-18 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 1181080-4 |
ISSN | 1873-4030 ; 1350-4533 |
ISSN (online) | 1873-4030 |
ISSN | 1350-4533 |
DOI | 10.1016/j.medengphy.2023.103996 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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