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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.
			
			
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					Cited By
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				4.328
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        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