Role of multiparametric magnetic resonance imaging in early detection of prostate cancer

被引:39
|
作者
De Visschere P.J.L. [1 ]
Briganti A. [2 ]
Fütterer J.J. [3 ]
Ghadjar P. [4 ]
Isbarn H. [5 ,6 ]
Massard C. [7 ]
Ost P. [8 ]
Sooriakumaran P. [9 ,10 ]
Surcel C.I. [11 ]
Valerio M. [12 ]
van den Bergh R.C.N. [13 ]
Ploussard G. [14 ,15 ]
Giannarini G. [16 ]
Villeirs G.M. [1 ]
机构
[1] Department of Radiology, Ghent University Hospital, De Pintelaan 185, Ghent
[2] Department of Urology, Urological Research Institute, Vita-Salute University San Raffaele, Milan
[3] Department of Radiology and Nuclear Medicine, Radboud UMC, Nijmegen
[4] Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin
[5] Department of Urology, Regio Clinic Wedel, Wedel
[6] Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg
[7] Department of Oncology, Institut Gustave Roussy, University of Paris Sud, Villejuif
[8] Department of Radiation Oncology and Experimental Cancer Research, Ghent University Hospital, Ghent
[9] Surgical Intervention Trials Unit, Nuffield Department of Surgical Sciences, University of Oxford, Oxford
[10] Department of Molecular Medicine & Surgery, Karolinska Institutet, Stockholm
[11] Centre of Urological Surgery, Dialysis and Renal Transplantation, Fundeni Clinical Institute, Bucharest
[12] Department of Urology, CHUV, Lausanne
[13] Department of Urology, Radboud University Nijmegen Medical Centre, Nijmegen
[14] Urology Department, Saint Jean Languedoc Hospital, Toulouse
[15] Research Unit INSERM U955, Paris Est University, Team 7, Paris
[16] Urology Unit, Academic Medical Centre Hospital «Santa Maria della Misericordia», Udine
关键词
Diffusion magnetic resonance imaging; Magnetic resonance imaging; Magnetic resonance spectroscopy; Prostate; Prostatic neoplasms;
D O I
10.1007/s13244-016-0466-9
中图分类号
学科分类号
摘要
Abstract: Most prostate cancers (PC) are currently found on the basis of an elevated PSA, although this biomarker has only moderate accuracy. Histological confirmation is traditionally obtained by random transrectal ultrasound guided biopsy, but this approach may underestimate PC. It is generally accepted that a clinically significant PC requires treatment, but in case of an non-significant PC, deferment of treatment and inclusion in an active surveillance program is a valid option. The implementation of multiparametric magnetic resonance imaging (mpMRI) into a screening program may reduce the risk of overdetection of non-significant PC and improve the early detection of clinically significant PC. A mpMRI consists of T2-weighted images supplemented with diffusion-weighted imaging, dynamic contrast enhanced imaging, and/or magnetic resonance spectroscopic imaging and is preferably performed and reported according to the uniform quality standards of the Prostate Imaging Reporting and Data System (PIRADS). International guidelines currently recommend mpMRI in patients with persistently rising PSA and previous negative biopsies, but mpMRI may also be used before first biopsy to improve the biopsy yield by targeting suspicious lesions or to assist in the selection of low-risk patients in whom consideration could be given for surveillance. Teaching Points: • MpMRI may be used to detect or exclude significant prostate cancer. • MpMRI can guide targeted rebiopsy in patients with previous negative biopsies. • In patients with negative mpMRI consideration could be given for surveillance. • MpMRI may add valuable information for the optimal treatment selection. © 2016, The Author(s).
引用
收藏
页码:205 / 214
页数:9
相关论文
共 50 条
  • [1] Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer
    Durmus, T.
    Baur, A.
    Hamm, B.
    AKTUELLE UROLOGIE, 2014, 45 (02) : 119 - 126
  • [2] Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer
    Durmus, T.
    Baur, A.
    Hamm, B.
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2014, 186 (03): : 238 - 246
  • [3] MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING IN PROSTATE CANCER DETECTION
    Garcia-Cruz, Eduardo
    Ramon-Barcelo, Catalina
    Carrion-Puig, Ramon
    Alcaraz, Antonio
    ARCHIVOS ESPANOLES DE UROLOGIA, 2019, 72 (04): : 374 - 380
  • [4] Prostate Cancer: The Role of Multiparametric Magnetic Resonance Imaging
    Dias, Joao Lopes
    Pina, Joao Magalhaes
    Joao, Raquel
    Fialho, Joana
    Carmo, Sandra
    Leal, Cecilia
    Bilhim, Tiago
    Marques, Rui Mateus
    Pinheiro, Luis Campos
    ACTA MEDICA PORTUGUESA, 2015, 28 (02): : 240 - 249
  • [5] Role of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer
    Rais-Bahrami, Soroush
    Turkbey, Baris
    Grant, Kinzya B.
    Pinto, Peter A.
    Choyke, Peter L.
    CURRENT UROLOGY REPORTS, 2014, 15 (03)
  • [6] Role of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer
    Soroush Rais-Bahrami
    Baris Turkbey
    Kinzya B. Grant
    Peter A. Pinto
    Peter L. Choyke
    Current Urology Reports, 2014, 15
  • [7] ROLE OF MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING IN PROSTATE CANCER ASSESSMENT
    Tomaskovic, Igor
    Knezevic, Matej
    Pezelj, Ivan
    Culo, Karolina Bolanca
    Novosel, Luka
    Nikles, Sven
    Tomic, Miroslav
    Justinic, Danijel
    Nincevic, Josip
    Pirsa, Matea
    Ruzic, Boris
    ACTA CLINICA CROATICA, 2018, 57 : 35 - 39
  • [8] Multiparametric Magnetic Resonance Imaging of Prostate Cancer
    Hung, Siu-Wan
    Lin, Yen-Ting
    Liu, Ming-Cheng
    UROLOGICAL SCIENCE, 2018, 29 (06) : 266 - 276
  • [9] DETECTION OF INDIVIDUAL PROSTATE CANCER FOCI BY MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING
    Johnson, David
    Raman, Steven
    Mirak, Sohrab
    Kwan, Lorna
    Bajgiran, Amirhossein
    Faeina, Izak
    Pooli, Aydin
    Salmasi, Amirali
    Sisk, Anthony
    Felker, Ely
    Lu, David
    Reiter, Robert
    JOURNAL OF UROLOGY, 2019, 201 (04): : E423 - E424
  • [10] Evaluation of Multiparametric Magnetic Resonance Imaging in Detection and Prediction of Prostate Cancer
    Wang, Rui
    Wang, He
    Zhao, Chenglin
    Hu, Juan
    Jiang, Yuanyuan
    Tong, Yanjun
    Liu, Ting
    Huang, Rong
    Wang, Xiaoying
    PLOS ONE, 2015, 10 (06):