Kaissis, G.* ; Lohöfer, F.K.* ; Ziegelmayer, S.* ; Danner, J.* ; Jäger, C.* ; Schirren, R.* ; Ankerst, D.P.* ; Ceyhan, G.O.* ; Friess, H.* ; Rummeny, E.J.* ; Weichert, W.* ; Braren, R.F.*
    
 
    
        
Borderline-resectable pancreatic adenocarcinoma: Contour irregularity of the venous confluence in pre-operative computed tomography predicts histopathological infiltration.
    
    
        
    
    
        
        PLoS ONE 14:e0208717 (2019)
    
    
    
		
		
			
				PURPOSE: The purpose of the current study was to compare CT-signs of portal venous confluence infiltration for actual histopathological infiltration of the vein or the tumor/vein interface (TVI) in borderline resectable pancreatic ductal adenocarcinoma (PDAC). METHODS AND MATERIALS: 101 patients with therapy-naïve, primarily resected PDAC of the pancreatic head without arterial involvement were evaluated. The portal venous confluence was assessed for contour irregularity (defined as infiltration) and degree of contact. The sensitivity and specificity of contour irregularity versus tumor to vein contact >180° as well as the combination of the signs for tumor cell infiltration of the vessel wall or TVI was calculated. Overall survival (OS) was compared between groups. RESULTS: Sensitivity and specificity of contour irregularity for identification of tumor infiltration of the portal venous confluence or the TVI was higher compared to tumor to vessel contact >180° for tumor cell infiltration (96%/79% vs. 91%/38% respectively, p<0.001). The combination of the signs increased specificity to 92% (sensitivity 88%). Patients with contour irregularity/ tumor to vein contact >180°/ both signs had significantly worse overall survival (16.2 vs. 26.5 months/ 17.9 vs. 37.4 months/ 18.5 vs. 26.5 months respectively, all p<0.05). CONCLUSION: Portal venous confluence contour irregularity is a strong predictor of actual tumor cell infiltration of the vessel wall or the TVI and should be noted as such in radiological reports.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
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        englisch
    
 
    
        Veröffentlichungsjahr
        2019
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2019
    
 
    
    
        ISSN (print) / ISBN
        1932-6203
    
 
    
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	    Band: 14,  
	    Heft: 1,  
	    Seiten: ,  
	    Artikelnummer: e0208717 
	    Supplement: ,  
	
    
 
  
        
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            Verlag
            Public Library of Science (PLoS)
        
 
        
            Verlagsort
            Lawrence, Kan.
        
 
	
        
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        Peer reviewed
    
 
     
    
        POF Topic(s)
        30205 - Bioengineering and Digital Health
    
 
    
        Forschungsfeld(er)
        Enabling and Novel Technologies
    
 
    
        PSP-Element(e)
        G-530014-001
    
 
    
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        Erfassungsdatum
        2022-09-13