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Multi-criterial patient positioning based on dose recalculation on scatter-corrected CBCT images.
Radiother. Oncol. 125, 464-469 (2017)
Background and purpose: Our aim was to evaluate the feasibility and potential advantages of dose guided patient positioning based on dose recalculation on scatter corrected cone beam computed tomography (CBCT) image data. Material and methods: A scatter correction approach has been employed to enable dose calculations on CBCT images. A recently proposed tool for interactive multicriterial dose-guided patient positioning which uses interpolation between pre-calculated sample doses has been utilized. The workflow was retrospectively evaluated for two head and neck patients with a total of 39 CBCTs. Dose-volume histogram (DVH) parameters were compared to rigid image registration based isocenter corrections (clinical scenario). Results: The accuracy of the dose interpolation was found sufficient, facilitating the implementation of dose guided patient positioning. Compared to the clinical scenario, the mean dose to the parotid glands could be improved for 2 out of 5 fractions for the first patient while other parameters were preserved. For the second patient, the mean coverage over all fractions of the high dose PTV could be improved by 4%. For this patient, coverage improvements had to be traded against organ at risk (OAR) doses within their' clinical tolerance limits. Conclusions: Dose guided patient positioning using in-room CBCT data is feasible and offers increased control over target coverage and doses to OARs.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
4.328
1534.000
11
9
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Isocenter Correction ; Scatter Correction ; Cbct ; Dose Guided Positioning; Guided Radiation-therapy; Cone-beam-ct; Neck-cancer Patients; Multicriteria Optimization; Adaptive Radiotherapy; Head; Registration; Model; Gpu
Sprache
englisch
Veröffentlichungsjahr
2017
HGF-Berichtsjahr
2017
ISSN (print) / ISBN
0167-8140
e-ISSN
1879-0887
Zeitschrift
Radiotherapy and Oncology
Quellenangaben
Band: 125,
Heft: 3,
Seiten: 464-469
Verlag
Elsevier
Verlagsort
Clare
Begutachtungsstatus
Peer reviewed
Institut(e)
Translational Metabolic Oncology (IDC-TMO)
POF Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er)
Radiation Sciences
PSP-Element(e)
G-521800-001
PubMed ID
29033253
WOS ID
WOS:000423246300015
Scopus ID
85031093792
Erfassungsdatum
2017-10-18