医学                        
                
                                
                        
                            前列腺                        
                
                                
                        
                            四分位间距                        
                
                                
                        
                            活检                        
                
                                
                        
                            磁共振成像                        
                
                                
                        
                            逻辑回归                        
                
                                
                        
                            放射科                        
                
                                
                        
                            前列腺癌                        
                
                                
                        
                            前列腺活检                        
                
                                
                        
                            队列                        
                
                                
                        
                            外科                        
                
                                
                        
                            内科学                        
                
                                
                        
                            癌症                        
                
                        
                    
            作者
            
                Wulphert Venderink,Annemarijke van Luijtelaar,Marloes van der Leest,Jelle O. Barentsz,Sjoerd F.M. Jenniskens,J.P. Michiel Sedelaar,Christina Hulsbergen‐van de Kaa,Christiaan G. Overduin,Jurgen J. Fütterer            
         
                    
            出处
            
                                    期刊:BJUI
                                                         [Wiley]
                                                        日期:2019-06-25
                                                        卷期号:124 (5): 775-784
                                                        被引量:38
                                 
         
        
    
            
        
                
            摘要
            
            To determine the proportion of men avoiding biopsy because of negative multiparametric magnetic resonance imaging (mpMRI) findings in a prostate MRI expert centre, and to assess the number of clinically significant prostate cancers (csPCa) detected during follow-up.Retrospective study of 4259 consecutive men having mpMRI of the prostate between January 2012 and December 2017, with either a history of previous negative transrectal ultrasonography-guided biopsy or biopsy naïve. Patients underwent mpMRI in a referral centre. Lesions were classified according to Prostate Imaging Reporting And Data System (PI-RADS) versions 1 and 2. Negative mpMRI was defined as an index lesion PI-RADS ≤2. Follow-up until 13 October 2018 was collected by searching the Dutch Pathology Registry (PALGA). Gleason score ≥3 + 4 was considered csPCa. Kaplan-Meier analysis and univariable logistic regression models were used in the cohort of patients with negative mpMRI and follow-up.Overall, in 53.6% (2281/4259) of patients had a lesion classified as PI-RADS ≤2. In 320 patients with PI-RADS 1 or 2, follow-up mpMRI was obtained after a median (interquartile range) of 57 (41-63) months. In those patients, csPCa diagnosis-free survival (DFS) was 99.6% after 3 years. Univariable logistic regression analysis revealed age as a predictor for csPCa during follow-up (P < 0.05). In biopsied patients, csPCa was detected in 15.8% (19/120), 43.2% (228/528) and 74.5% (483/648) with PI-RADS 3, 4 and 5, respectively.More than half of patients having mpMRI of the prostate avoided biopsy. In those patients, csPCa DFS was 99.6% after 3 years.
         
            
 
                 
                
                    
                    科研通智能强力驱动
Strongly Powered by AbleSci AI