Literature DB >> 22996830

Microvascularity in transition zone prostate tumors resembles normal prostatic tissue.

Cornelis G van Niekerk1, J Alfred Witjes, Jelle O Barentsz, Jeroen A W M van der Laak, Christina A Hulsbergen-van de Kaa.   

Abstract

BACKGROUND: The objective of this study was comparison of characteristics of the microvasculature in transition zone tumor (TZT) and benign nodular hyperplasia (BPH) with normal prostatic transition zone (NTZ), applying accurate and objective quantification based on digital image analysis. Results of this study may increase understanding of prostate dynamic contrast enhanced (DCE) MRI analysis.
METHODS: Radical prostatectomy specimens of 28 patients containing TZT ranging from pT2-pT4 were used. In 11 patients a concomitant peripheral zone tumor (PZT) was present. Microvessels were visualized by CD31 immunohistochemistry. Specimens were scanned using a computer-controlled microscope with automatic recognition of microvessels. Pseudocolor maps were produced displaying microvessel density, perimeter, and area of an entire prostate transection. Mean, 75th percentile (p75) and coefficient of variation (CV) were calculated automatically in manually indicated areas of the tumor and corresponding contralateral normal tissue, and BPH.
RESULTS: Large variability was seen in TZT microvascular parameters, indicating presence of patients having both hypo and hypervascularized tumors compared to NTZ. In contrast, areas of BPH showed a more consistent increase in vascular parameters, with decreased CV. Analysis of PZT confirmed results of our previous study, with mean and p75 of all vascular parameters being significantly increased and a decrease in CV. No correlation was found for clinicopathological parameters and microvascular parameters.
CONCLUSION: Microvasculature of transition zone tumor showed increased heterogeneity compared to BPH and peripheral zone tumors, possibly explaining the difficulty of TZT detection on DCE-MRI.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22996830     DOI: 10.1002/pros.22588

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  9 in total

1.  Dynamic contrast-enhanced MR imaging of the prostate: intraindividual comparison of gadoterate meglumine and gadobutrol.

Authors:  Chau Hung Lee; Balamurugan Vellayappan; Matthias Taupitz; Bernd Hamm; Patrick Asbach
Journal:  Eur Radiol       Date:  2019-07-01       Impact factor: 5.315

2.  A direct comparison of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for prostate cancer detection and prediction of aggressiveness.

Authors:  Alexander D J Baur; Julia Schwabe; Julian Rogasch; Andreas Maxeiner; Tobias Penzkofer; Carsten Stephan; Marc Rudl; Bernd Hamm; Ernst-Michael Jung; Thom Fischer
Journal:  Eur Radiol       Date:  2017-12-13       Impact factor: 5.315

3.  Clinical utility of combined T2-weighted imaging and T2-mapping in the detection of prostate cancer: a multi-observer study.

Authors:  Chau Hung Lee; Matthias Taupitz; Patrick Asbach; Julian Lenk; Matthias Haas
Journal:  Quant Imaging Med Surg       Date:  2020-09

4.  Differentiating Transition Zone Cancers From Benign Prostatic Hyperplasia by Quantitative Multiparametric Magnetic Resonance Imaging.

Authors:  Osama Elbuluk; Naira Muradyan; Joanna Shih; Marcelino Bernardo; Sandeep Sankineni; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  J Comput Assist Tomogr       Date:  2016 Mar-Apr       Impact factor: 1.826

5.  Histogram analysis of prostate cancer on dynamic contrast-enhanced magnetic resonance imaging: A preliminary study emphasizing on zonal difference.

Authors:  Chih-Ching Lai; Pin-Hsun Huang; Fu-Nien Wang; Shu-Huei Shen; Hsin-Kai Wang; Hsian-Tzu Liu; Hsiao-Jen Chung; Tzu-Ping Lin; Yen-Hwa Chang; Chin-Chen Pan; Shin-Lei Peng
Journal:  PLoS One       Date:  2019-02-12       Impact factor: 3.240

6.  The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T1 relaxometry in patients with prostate cancer.

Authors:  Nikita Sushentsev; Joshua D Kaggie; Guido Buonincontri; Rolf F Schulte; Martin J Graves; Vincent J Gnanapragasam; Tristan Barrett
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

7.  Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI.

Authors:  Nikolaos Dikaios; Jokha Alkalbani; Mohamed Abd-Alazeez; Harbir Singh Sidhu; Alex Kirkham; Hashim U Ahmed; Mark Emberton; Alex Freeman; Steve Halligan; Stuart Taylor; David Atkinson; Shonit Punwani
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

8.  Is angiogenesis a hallmark of prostate cancer?

Authors:  Gianluigi Taverna; Fabio Grizzi; Piergiuseppe Colombo; Pierpaolo Graziotti
Journal:  Front Oncol       Date:  2013-02-06       Impact factor: 6.244

9.  The role of gadolinium in magnetic resonance imaging for early prostate cancer diagnosis: A diagnostic accuracy study.

Authors:  Ilinca Cosma; Cornelia Tennstedt-Schenk; Sven Winzler; Marios Nikos Psychogios; Alexander Pfeil; Ulf Teichgraeber; Ansgar Malich; Ismini Papageorgiou
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  9 in total

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