Literature DB >> 20512891

Prostate cancer vs. post-biopsy hemorrhage: diagnosis with T2- and diffusion-weighted imaging.

Andrew B Rosenkrantz1, Martin Kopec, Xiangtian Kong, Jonathan Melamed, George Dakwar, James S Babb, Bachir Taouli.   

Abstract

PURPOSE: To assess the value of quantitative T2 signal intensity (SI) and apparent diffusion coefficient (ADC) to differentiate prostate cancer from post-biopsy hemorrhage, using prostatectomy as the reference.
MATERIALS AND METHODS: Forty-five men with prostate cancer underwent prostate magnetic resonance imaging (MRI), including axial T1-weighted imaging (T1WI), T2WI, and single-shot echo-planar image (SS EPI) diffusion-weighted imaging. Two observers measured, in consensus, normalized T2 signal intensity (SI) (nT2, relative to muscle T2 SI), ADC, and normalized ADC (nADC, relative to urine ADC) on peripheral zone (PZ) tumors, benign PZ hemorrhage, and non-hemorrhagic benign PZ. Tumor maps from prostatectomy were used as the reference. Mixed model analysis of variance was performed to compare parameters among the three tissue classes, and Pearson's correlation coefficient was utilized to assess correlation between parameters and tumor size and Gleason score. Receiver-operating characteristic (ROC)-curve analysis was used to determine the performance of nT2, ADC, and nADC for diagnosis of prostate cancer.
RESULTS: nT2, ADC, and nADC were significantly lower in tumor compared with hemorrhagic and non-hemorrhagic benign PZ (P < 0.0001). There was a weak but significant correlation between ADC and Gleason score (r = -0.30, P = 0.0119), and between ADC and tumor size (r = -0.40, P = 0.0027), whereas there was no correlation between nT2 and Gleason score and tumor size. The areas under the curve to distinguish tumor from benign hemorrhagic and non-hemorrhagic PZ were 0.97, 0.96, and 0.933 for nT2, ADC, and nADC, respectively.
CONCLUSION: Quantitative T2 SI and ADC/nADC values may be used to reliably distinguish prostate cancer from post-biopsy hemorrhage.

Entities:  

Mesh:

Year:  2010        PMID: 20512891     DOI: 10.1002/jmri.22172

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 in total

1.  Value of the hemorrhage exclusion sign on T1-weighted prostate MR images for the detection of prostate cancer.

Authors:  Tristan Barrett; Hebert Alberto Vargas; Oguz Akin; Debra A Goldman; Hedvig Hricak
Journal:  Radiology       Date:  2012-04-02       Impact factor: 11.105

Review 2.  Optimization of prostate biopsy: the role of magnetic resonance imaging targeted biopsy in detection, localization and risk assessment.

Authors:  Marc A Bjurlin; Xiaosong Meng; Julien Le Nobin; James S Wysock; Herbert Lepor; Andrew B Rosenkrantz; Samir S Taneja
Journal:  J Urol       Date:  2014-04-21       Impact factor: 7.450

Review 3.  [Diffusion-weighted MRI of the prostate].

Authors:  U G Mueller-Lisse; U L Mueller-Lisse; P Zamecnik; H-P W Schlemmer; M K Scherr
Journal:  Radiologe       Date:  2011-03       Impact factor: 0.635

Review 4.  Advancements in MR imaging of the prostate: from diagnosis to interventions.

Authors:  David Bonekamp; Michael A Jacobs; Riham El-Khouli; Dan Stoianovici; Katarzyna J Macura
Journal:  Radiographics       Date:  2011 May-Jun       Impact factor: 5.333

5.  Multiparametric MR imaging of peripheral zone prostate cancer: effect of postbiopsy hemorrhage on cancer detection according to Gleason score and tumour volume.

Authors:  Sung Il Jung; Hae Jeong Jeon; Hee Sun Park; Mi Hye Yu; Young Jun Kim; Seung Eun Lee; So Dug Lim
Journal:  Br J Radiol       Date:  2018-03-09       Impact factor: 3.039

6.  Multiparametric magnetic resonance imaging findings in men with low-risk prostate cancer followed using active surveillance.

Authors:  Jeffrey K Mullins; David Bonekamp; Patricia Landis; Hosne Begum; Alan W Partin; Jonathan I Epstein; H Ballentine Carter; Katarzyna J Macura
Journal:  BJU Int       Date:  2013-03-06       Impact factor: 5.588

Review 7.  Benign Conditions That Mimic Prostate Carcinoma: MR Imaging Features with Histopathologic Correlation.

Authors:  Yu Xuan Kitzing; Adilson Prando; Celi Varol; Gregory S Karczmar; Fiona Maclean; Aytekin Oto
Journal:  Radiographics       Date:  2015-11-20       Impact factor: 5.333

8.  Quantitative metric profiles capture three-dimensional temporospatial architecture to discriminate cellular functional states.

Authors:  Lindsey McKeen-Polizzotti; Kira M Henderson; Basak Oztan; C Cagatay Bilgin; Bülent Yener; George E Plopper
Journal:  BMC Med Imaging       Date:  2011-05-20       Impact factor: 1.930

9.  ECR 2015 Book of Abstracts - D - Satellite Symposia.

Authors: 
Journal:  Insights Imaging       Date:  2015-03

10.  False positive and false negative diagnoses of prostate cancer at multi-parametric prostate MRI in active surveillance.

Authors:  Jeffrey S Quon; Bardia Moosavi; Maneesh Khanna; Trevor A Flood; Christopher S Lim; Nicola Schieda
Journal:  Insights Imaging       Date:  2015-05-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.