Multiparametric Magnetic Resonance Imaging of Prostate Cancer: Association of Quantitative Magnetic Resonance Parameters with Histopathologic Findings

被引:1
|
作者
Abedi, Iraj [1 ]
Tavakkoli, Mohammad Bagher [1 ]
Rabbani, Masoud [2 ]
Jabbari, Keyvan [1 ]
Sirous, Mehri [2 ]
Far, Ghasem Yadegar [3 ]
机构
[1] Isfahan Univ Med Sci, Med Phys Fac, Esfahan, Iran
[2] Isfahan Univ Med Sci, Radiol Fac, Esfahan, Iran
[3] Isfahan Univ Med Sci, Hlth Fac, Esfahan, Iran
关键词
Multiparametric Magnetic Resonance Imaging; Prostate Cancer; Quantitative Magnetic Resonance Parameters; Histopathologic; CONTRAST-ENHANCED MRI; GLEASON SCORE; RADICAL PROSTATECTOMY; ACTIVE SURVEILLANCE; PATHOLOGICAL STAGE; TUMOR ANGIOGENESIS; NEEDLE-BIOPSY; GRADE; SPECIMENS; TISSUE;
D O I
10.5812/iranjradiol.37844
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Prostate cancer continues to be diagnosed with increasing frequency. Multiparametric magnetic resonance imaging (MP-MRI) has a favorable correlation with prostatectomy histopathology findings. These advanced functional imaging techniques may help increase the sensitivity of prostate cancer detection and the accuracy of predicting the Gleason score (GS), which is a measure of cancer aggressiveness. Objectives: The purpose of this study was to determine associations between MP-MRI parameter and whole-mount pathological finding as reference standard. Patients and Methods: Twenty-four consecutive prostate cancer patients who underwent an MRI exam followed by radical prostatectomy were incorporated in this study. The average time between MRI and prostatectomy was 40 days (7 - 100 days). All patients had biopsy proven adenocarcinoma of the prostate and the mean GS was 6.7 (median, 7; range 6 - 9). Results: The mean age was 59 +/- 7 years. The mean serum prostate specific antigen (PSA) was 7.81 +/- 5.73 ng/mL. The GS ranged from 6 to 9 and most patients (79%) had a GS of 7. MRI data were correlated to biopsy results. Pearson correlation analysis revealed a significant negative correlation between GS and apparent diffusion coefficient (ADC) measurements (r = -0.926, P = 0. 01), and a strong positive correlation between Gleason scores and MRS measurements (r = 0.965, P = 0.01). No significant correlation was observed between any of the dynamic contrast enhanced MRI (DCE-MRI) parameters and GS. Conclusion: Combining anatomical and functional MRI significantly improves prostate cancer localization. It is a useful tool in the diagnosis and management of prostate cancer as well as a valid tool for assessing men on active surveillance. However, it should not be seen as a replacement for tissue biopsy.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Prediction of extracapsular disease with multiparametric magnetic resonance imaging in high risk localized prostate cancer patients
    Hernandez-Sanchez, J. E.
    Castillo, E.
    Barbero, J. M.
    Lista, F.
    Gonzalez, Y. J.
    ARCHIVOS ESPANOLES DE UROLOGIA, 2013, 66 (10): : 956 - 966
  • [22] Functional Magnetic Resonance Imaging in Prostate Cancer
    Seitz, Michael
    Shukla-Dave, Amita
    Bjartell, Anders
    Touijer, Karim
    Sciarra, Alessandro
    Bastian, Patrick J.
    Stief, Christian
    Hricak, Hedvig
    Graser, Anno
    EUROPEAN UROLOGY, 2009, 55 (04) : 801 - 814
  • [23] The Contemporary Role of Multiparametric Magnetic Resonance Imaging in Active Surveillance for Prostate Cancer
    Ariel A. Schulman
    Christina Sze
    Efrat Tsivian
    Rajan T. Gupta
    Judd W. Moul
    Thomas J. Polascik
    Current Urology Reports, 2017, 18
  • [24] The Contemporary Role of Multiparametric Magnetic Resonance Imaging in Active Surveillance for Prostate Cancer
    Schulman, Ariel A.
    Sze, Christina
    Tsivian, Efrat
    Gupta, Rajan T.
    Moul, Judd W.
    Polascik, Thomas J.
    CURRENT UROLOGY REPORTS, 2017, 18 (07)
  • [25] Multiparametric magnetic resonance imaging and active surveillance: How to better select insignificant prostate cancer?
    Porpiglia, Francesco
    Cantiello, Francesco
    De Luca, Stefano
    De Pascale, Agostino
    Manfredi, Matteo
    Mele, Fabrizio
    Bollito, Enrico
    Cirillo, Stefano
    Damiano, Rocco
    Russo, Filippo
    INTERNATIONAL JOURNAL OF UROLOGY, 2016, 23 (09) : 752 - 757
  • [26] Use of multiparametric magnetic resonance imaging in prostate cancer active surveillance
    Glass, Allison S.
    Dall'Era, Marc A.
    BJU INTERNATIONAL, 2019, 124 (05) : 730 - 737
  • [27] Multiparametric magnetic resonance imaging of the prostate: Lights and shadows
    Santoro, Agostino Antonio
    Di Gianfrancesco, Luca
    Racioppi, Marco
    Pinto, Francesco
    Palermo, Giuseppe
    Sacco, Emilio
    Campetella, Marco
    Scarciglia, Eros
    Bientinesi, Riccardo
    Di Paola, Valerio
    Totaro, Angelo
    UROLOGIA JOURNAL, 2021, 88 (04) : 280 - 286
  • [28] Multiparametric magnetic resonance imaging of the prostate - a basic tutorial
    Cabarrus, Miguel C.
    Westphalen, Antonio C.
    TRANSLATIONAL ANDROLOGY AND UROLOGY, 2017, 6 (03) : 376 - 386
  • [29] Multiparametric Magnetic Resonance Imaging Grades the Aggressiveness of Prostate Cancer
    Morote, Juan
    Borque-Fernando, Angel
    Triquell, Marina
    Celma, Anna
    Regis, Lucas
    Mast, Richard
    de Torres, Ines M.
    Semidey, Maria E.
    Santamaria, Anna
    Planas, Jacques
    Esteban, Luis M.
    Trilla, Enrique
    CANCERS, 2022, 14 (07)
  • [30] The Importance of Multiparametric Magnetic Resonance Imaging on Prostate Cancer Diagnosis
    Hamidi, Nurullah
    Suer, Evren
    Ozden, Eriz
    Akinci, Aykut
    Gokce, Mehmet Ilker
    Telli, Onur
    Gulpinar, Omer
    Gogus, Cagatay
    Turkolmez, Kadir
    Baltaci, Sumer
    UROONKOLOJI BULTENI-BULLETIN OF UROONCOLOGY, 2016, 15 (01): : 4 - 7