Apparent diffusion coefficient value in predicting different outcomes of brain tissues in patients with acute ischemic stroke
	    		
		   		
		   			
		   		
	    	
    	 
    	10.3760/cma.j.cn115354-20200818-00664
   		
        
        	
        		- VernacularTitle:ADC值预测急性缺血性脑卒中脑组织不同转归的相关研究
 
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Huan LIU
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Zhaoshuo LI
			        		
			        		;
		        		
		        		
		        		
			        		Tengfei ZHOU
			        		
			        		;
		        		
		        		
		        		
			        		Yingkun HE
			        		
			        		;
		        		
		        		
		        		
			        		Tianxiao LI
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. 郑州大学人民医院介入中心脑血管病科,河南省人民医院、河南大学人民医院、河南省神经介入研发与应用工程研究中心、河南省脑血管病国际联合实验室,郑州 450000
			        		
		        		
	        		
        		 
        	
        	
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Diffusion-weighted imaging;
			        		
			        		
			        		
				        		Lesion reversal;
			        		
			        		
			        		
				        		Cerebral infarct growth;
			        		
			        		
			        		
				        		Apparent diffusion coefficient;
			        		
			        		
			        		
				        		Acute ischemic stroke;
			        		
			        		
			        		
				        		Endovascular treatment
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Chinese Journal of Neuromedicine
	            		
	            		 2021;20(2):160-164
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
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		        	Abstract:
			       	
			       		
				        
				        	Objective:To explore the predictive ability of apparent diffusion coefficient (ADC) value in magnetic resonance imaging (MRI) mapping sequences in outcomes of brain tissues in patients with acute ischemic stroke (AIS) who had successful recanalization after endovascular treatment.Methods:A total of 45 patients with AIS who received endovascular treatment and successful recanalization in our hospital from January 2019 to December 2019 were selected. Post-processing software was used to analyze the images of these patients by MRI before surgery and one week after surgery, and the differences of ADC value in the core area of cerebral infarction, lesion reversal area and increased cerebral infarction area displayed by diffusion weighted imaging (DWI) before surgery were measured and compared. Receiver operating characteristic (ROC) curve was used to analyze the predictive ability of preoperative ADC value in the reversal of lesions showed by DWI.Results:Lesion reversal area and increased cerebral infarction area indicated by preoperative DWI existed in all patients after successful recanalization. The preoperative ADC values of the infarct core, lesion reversal area and increased cerebral infarction area were 0.555×10 -3 mm 2/s (0.462, 0.648), 0.637×10 -3 mm 2/s (0.509, 0.765) and 0.948×10 -3 mm 2/s (0.905, 0.991), respectively, with significant differences ( P<0.05). The optimal cut-off point to predict DWI lesion reversal after successful recanalization was 0.57×10 -3mm 2/s, and the accuracy was 87.1% (area under curve=0.871; 95%CI: 0.868-0.875, P=0.000), with sensitivity of 97.2% and specificity of 68.3%. Conclusion:In patients with AIS after successful recanalization, the preoperative ADC values are obviously different in brain tissues with different outcomes, which can be used to predict the final imaging outcomes of the brain tissues.