Diffusion-Weighted Magnetic Resonance Imaging in the Prostate Transition Zone Histopathological Validation Using Magnetic Resonance-Guided Biopsy Specimens

被引:39
|
作者
Hoeks, Caroline M. A. [1 ]
Vos, Eline K. [1 ]
Bomers, Joyce G. R. [1 ]
Barentsz, Jelle O. [1 ]
Hulsbergen-van de Kaa, Christina A. [2 ]
Scheenen, Tom W. [1 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Dept Radiol, NL-6500 HB Nijmegen, Netherlands
[2] Radboud Univ Nijmegen, Med Ctr, Dept Pathol, NL-6500 HB Nijmegen, Netherlands
基金
欧洲研究理事会;
关键词
apparent diffusion coefficient; Gleason grade; MR imaging; prostate cancer; transition zone; CANCER AGGRESSIVENESS; RADICAL-PROSTATECTOMY; 3; T; COEFFICIENT; LOCALIZATION; INFLAMMATION; HYPERPLASIA; VALUES; GRADE; MRI;
D O I
10.1097/RLI.0b013e31828eeaf9
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
Objectives: The objective of this study was to evaluate the apparent diffusion coefficient (ADC) of diffusion-weighted magnetic resonance (MR) imaging for the differentiation of transition zone cancer from non-cancerous transition zone with and without prostatitis and for the differentiation of transition zone cancer Gleason grade (GG) using MR-guided biopsy specimens as a reference standard. Materials and Methods: From consecutive MR-guided prostate biopsies (2008-2012) in our referral center, we retrospectively included patients from whom diffusion-weighted MR imaging ADC values were acquired during MR-guided biopsy and whose biopsy cores had a (cancer) core length 10 mm or greater and originated from the transition zone. Two radiologists, who were blinded to the ADC data, annotated regions of interest on biopsy sampling locations of MR-guided biopsy confirmation scans in consensus. Median ADC (mADC) of the regions of interest was related to histopathology outcome in MR-guided biopsy core specimens. Mixed model analysis was used to evaluate mADC differences between 7 histopathology categories predefined as MR-guided biopsy core specimens with primary and secondary, GG 4-5 (1), primary GG 4-5 secondary GG 2-3 (II), primary GG 2-3 secondary GG 4-5 (III) and primary and secondary GG 2-3 cancer (IV), and noncancerous tissue without (V) or with degree 1 (VI) or degree 2 prostatitis (VII). Diagnostic accuracy was evaluated using areas under the receiver operating characteristic (AUC) curve. Results: Filly-two patients with 87 cancer-containing biopsy cores and 53 patients with 101 non-cancerous biopsy cores were included. Significant mean mADC differences were present between cancers (mean mADC, 0.77-0.86 x 10(3) nm(2)/s) and noncancerous transition zone without (1.12 x 10(-3) min/s) and with degree 1 to 2 prostatitis (1.05-1.12 x 10(3) =2/S; P < 0.0001-0.05). Exceptions were mixed primary and secondary HG cancers versus a degree 2 of prostatitis 0.06-0.09). No significant differences were found between subcategories of primary and secondary HG cancers (P = 0.17-0.91) and between a degree 1 and 2 prastatitis and non-cancerous transition zone without prastatitis = 0.48-0.94). The mADC had an AUC of 0.84 to differentiate cancer versus non-cancerous transition zone. AUCs of 0.84 and 0.56 were found for mADC to differentiate prostatitis from cancer and from non-cancerous transition zone. The mADC had an AUC of 0.62 to differentiate a primary HG 4 versus HG 3 cancer Conclusions: The mADC values can differentiate transition zone cancer from non-cancerou.s transition zone and from a degree 1, and from most cases of a degree 2 prostatitis. However, because of substantial overlap, mA.DC has a moderate accuracy to differentiate between different primary and secondary GG subcategories and cannot be used to differentiate non-cancerous transition zone from degrees 1 to 2 of prostatitis. Diffusion-weighted imaging ADC may therefore contribute in the detection of transition zone cancers; however, as a single functional MR imaging technique, difinsion-weighted imaging has a moderate diagnostic accuracy in separating higher from lower GG transition zone cancers and in differentiating prostatitis from non-cancerous transition zone.
引用
收藏
页码:693 / 701
页数:9
相关论文
共 50 条
  • [41] Diffusion-weighted imaging in pediatric body magnetic resonance imaging
    Govind B. Chavhan
    Pablo Caro-Dominguez
    Pediatric Radiology, 2016, 46 : 847 - 857
  • [42] Has Magnetic Resonance-Guided Biopsy of the Prostate Become the Standard of Care?
    Emberton, Mark
    EUROPEAN UROLOGY, 2013, 64 (05) : 720 - 721
  • [43] Conductivity tensor imaging of the brain using diffusion-weighted magnetic resonance imaging
    Sekino, M
    Yamaguchi, K
    Iriguchi, N
    Ueno, S
    JOURNAL OF APPLIED PHYSICS, 2003, 93 (10) : 6730 - 6732
  • [44] Magnetic Resonance Diffusion-weighted Imaging for Targeting Glioma in Stereotactic Biopsy: A Correlative Study with Histopathological Examination and Clinical Outcome
    Hung, Yi-Chieh
    Yang, Huai-Che
    Liu, Kang-Du
    Hsu, Sanford P. C.
    Pan, David Hung-Chi
    Guo, Wan-Yuo
    STEREOTACTIC AND FUNCTIONAL NEUROSURGERY, 2013, 91 : 51 - 51
  • [45] The effects of the period between biopsy and diffusion-weighted magnetic resonance imaging on cancer staging in localized prostate cancer
    Park, Kyung Kgi
    Lee, Seung Hwan
    Lim, Beom Jin
    Kim, Joo Hee
    Chung, Byung Ha
    BJU INTERNATIONAL, 2010, 106 (08) : 1148 - 1151
  • [46] Diffusion-Weighted Magnetic Resonance Spectroscopy
    Ronen, Itamar
    Valette, Julien
    EMAGRES, 2015, 4 (04): : 733 - 749
  • [47] Diffusion-Weighted Magnetic Resonance Imaging Detects Significant Prostate Cancer with High Probability
    Bains, Lauren J.
    Studer, Urs E.
    Froehlich, Johannes M.
    Giannarini, Gianluca
    Triantafyllou, Maria
    Fleischmann, Achim
    Thoenyt, Harriet C.
    JOURNAL OF UROLOGY, 2014, 192 (03): : 737 - 742
  • [48] Meta-analysis of Diffusion-Weighted Magnetic Resonance Imaging in Detecting Prostate Cancer
    Jin, Guanqiao
    Su, Dan Ke
    Luo, Ning Bin
    Liu, Li Dong
    Zhu, Xuna
    Huang, Xiang Yang
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2013, 37 (02) : 195 - 202
  • [49] DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING AND MR SPECTROSCOPY TO DETECT CANCER DISTRIBUTION IN PROSTATE
    Kitamura, Kosuke
    Muto, Satoru
    Sugiura, Shou-ichirou
    Horiuchi, Akira
    Koja, Masa-aki
    Nakajima, Akiko
    Inoue, Masahiro
    Noma, Yasuhiro
    Tokiwa, Shino
    Saitou, Keisuke
    Isotani, Shuji
    Ide, Hisamitsu
    Yamaguchi, Raizou
    Horie, Shigeo
    JOURNAL OF UROLOGY, 2014, 191 (04): : E600 - E600
  • [50] Diffusion-Weighted Magnetic Resonance Imaging of the Prostate: Improved Robustness With Stretched Exponential Modeling
    Mazaheri, Yousef
    Afaq, Asim
    Rowe, Daniel B.
    Lu, Yonggang
    Shukla-Dave, Amita
    Grover, Jarrett
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2012, 36 (06) : 695 - 703