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Systematisation of spatial uncertainties for comparison between a MR and a CT-based radiotherapy workflow for prostate treatments
Department of Radiation Sciences (Oncology), Umeå University Hospital.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Department of Radiation Physics, Umeå University Hospital.
Radiation physics section, Department of radiation sciences, Umeå University.
2009 (English)In: Radiation Oncology, ISSN 1748-717X, E-ISSN 1748-717X, Vol. 4, no 54Article in journal (Refereed) Published
Abstract [en]

Background: In the present work we compared the spatial uncertainties associated with a MR-based workflow for external radiotherapy of prostate cancer to a standard CT-based workflow. The MR-based workflow relies on target definition and patient positioning based on MR imaging. A solution for patient transport between the MR scanner and the treatment units has been developed. For the CT-based workflow, the target is defined on a MR series but then transferred to a CT study through image registration before treatment planning, and a patient positioning using portal imaging and fiducial markers. Methods: An "open bore" 1.5T MRI scanner, Siemens Espree, has been installed in the radiotherapy department in near proximity to a treatment unit to enable patient transport between the two installations, and hence use the MRI for patient positioning. The spatial uncertainty caused by the transport was added to the uncertainty originating from the target definition process, estimated through a review of the scientific literature. The uncertainty in the CT-based workflow was estimated through a literature review.Results: The systematic uncertainties, affecting all treatment fractions, are reduced from 3-4 mm (ISd) with a CT based workflow to 2-3 mm with a MR based workflow. The main contributing factor to this improvement is the exclusion of registration between MR and CT in the planning phase of the treatment.

Place, publisher, year, edition, pages
2009. Vol. 4, no 54
National Category
Other Medical Engineering
Research subject
Medical Engineering for Healthcare
Identifiers
URN: urn:nbn:se:ltu:diva-6821DOI: 10.1186/1748-717X-4-54ISI: 000272290400001Scopus ID: 2-s2.0-71049137342Local ID: 51fa7d00-e656-11de-bae5-000ea68e967bOAI: oai:DiVA.org:ltu-6821DiVA, id: diva2:979707
Note
Validerad; 2009; 20091211 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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