Future of prostate imaging:Artificial intelligence in assessing prostatic magnetic resonance imaging

作     者：Lyubomir Chervenkov Nikolay Sirakov Gancho Kostov Tsvetelina Velikova George Hadjidekov 

作者机构：Department of Diagnostic ImagingMedical University PlovdivPlovdiv 4000Bulgaria Research Complex for Translational NeuroscienceMedical University of PlovdivBul.Vasil Aprilov 15APlovdiv 4002Bulgaria Department of Diagnostic ImagingDental Allergology and PhysiotherapyFaculty of Dental MedicineMedical University PlovdivPlovdiv 4000Bulgaria Department of Special SurgeryMedical University PlovdivPlovdiv 4000Bulgaria Department of Clinical ImmunologyUniversity Hospital LozenetzSofia 1407Bulgaria Department of Medical FacultySofia University St.Kliment OhridskiSofia 1407Bulgaria Department of RadiologyUniversity Hospital LozenetzSofia 1407Bulgaria Department of PhysicsBiophysics and RadiologyMedical FacultySofia University St.Kliment OhridskiSofia 1407Bulgaria 

出 版 物：《World Journal of Radiology》 (世界放射学杂志（英文版）（电子版）)

年 卷 期：2023年第15卷第5期

页      面：136-145页

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 1002[医学-临床医学] 08[工学] 1010[医学-医学技术（可授医学、理学学位）] 100214[医学-肿瘤学] 10[医学] 

基　　金：Supported by the European Union’s NextGenerationEU through the National Recovery and Resilience Plan of the Republic of Bulgaria Project No.BG-RRP-2.004-0008-C01 

主　　题：Artificial intelligence Deep learning Machine learning Multiparametric magnetic resonance imaging Prostate cancer Quantitative imaging 

摘      要：Prostate cancer(Pca;adenocarcinoma)is one of the most common cancers in adult males and one of the leading causes of death in both men and *** diagnosis of Pca requires substantial experience,and even then the lesions can be difficult to ***,although the diagnostic approach for this disease has improved significantly with the advent of multiparametric magnetic resonance,that technology has certain unresolved *** recent years artificial intelligence(AI)has been introduced to the field of radiology,providing new software solutions for prostate *** mapping of the prostate has become possible through AI and this has greatly improved the accuracy of *** has also allowed for certain suspicious lesions to be attributed to a given group according to the Prostate Imaging-Reporting&Data System ***,AI has facilitated the combination of data obtained from clinical,laboratory(prostate-specific antigen),imaging(magnetic resonance),and biopsy examinations,and in this way new regularities can be found which at the moment remain *** evolution of AI in this field is inevitable and it is almost certain to significantly expand the efficacy,accuracy and efficiency of diagnosis and treatment of Pca.