First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer.
Background and purpose: In this study we developed a workflow for fully-automated generation of deliverable IMRT plans for a 1.5 T MR-Linac (MRL) based on contoured CT scans, and we evaluated automated MRL planning for rectal cancer. Methods: The Monte Carlo dose calculation engine used in the clini...
| Published in: | Acta Oncologica Vol. 59; no. 8; pp. 926 - 933 |
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| Main Authors: | , , , , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Medical Journals Sweden AB
Aug2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144826827&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144826827 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0284186X B84 jtl: Acta Oncologica issn: 0284186X maglogo: N pubinfo: dt: Aug2020 vid: 59 iid: 8 pid: 59195 pub: Medical Journals Sweden AB artinfo: ui: 144826827 144826827 145569281 144826827 10.1080/0284186X.2020.1766697 144826827 ppf: 926 ppct: 7 formats: tig: atl: First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer. aug: au: Bijman, Rik Rossi, Linda Janssen, Tomas de Ruiter, Peter Carbaat, Casper van Triest, Baukelien Breedveld, Sebastiaan Sonke, Jan-Jakob Heijmen, Ben affil: Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands sug: subj: Radiotherapy, Conformal Rectal Neoplasms Radiotherapy Automation Radiation Dosage Dosage Calculation Tomography, X-Ray Computed Rectal Neoplasms Radiography Human Workload Dosimetry Workflow ab: Background and purpose: In this study we developed a workflow for fully-automated generation of deliverable IMRT plans for a 1.5 T MR-Linac (MRL) based on contoured CT scans, and we evaluated automated MRL planning for rectal cancer. Methods: The Monte Carlo dose calculation engine used in the clinical MRL TPS (Monaco, Elekta AB, Stockholm, Sweden), suited for high accuracy dose calculations in a 1.5 T magnetic field, was coupled to our in-house developed Erasmus-iCycle optimizer. Clinically deliverable plans for 23 rectal cancer patients were automatically generated in a two-step process, i.e., multi-criterial fluence map optimization with Erasmus-iCycle followed by a conversion into a deliverable IMRT plan in the clinical TPS. Automatically generated plans (AUTOplans) were compared to plans that were manually generated with the clinical TPS (MANplans). Results: With AUTOplanning large reductions in planning time and workload were obtained; 4–6 h mainly hands-on planning for MANplans vs ∼1 h of mainly computer computation time for AUTOplans. For equal target coverage, the bladder and bowel bag Dmean was reduced in the AUTOplans by 1.3 Gy (6.9%) on average with a maximum reduction of 4.5 Gy (23.8%). Dosimetric measurements at the MRL demonstrated clinically acceptable delivery accuracy for the AUTOplans. Conclusions: A system for fully automated multi-criterial planning for a 1.5 T MR-Linac was developed and tested for rectal cancer patients. Automated planning resulted in major reductions in planning workload and time, while plan quality improved. Negative impact of the high magnetic field on the dose distributions could be avoided. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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