Literature DB >> 25721995

In vivo 3T and ex vivo 7T diffusion tensor imaging of prostate cancer: Correlation with histology.

Carlos F Uribe1, Edward C Jones2, Silvia D Chang3, S Larry Goldenberg4, Stefan A Reinsberg5, Piotr Kozlowski6.   

Abstract

The purpose of this work was to test whether fractional anisotropy (FA) can contribute to the diagnosis and grading of prostate cancer. Turbo spin echo T2-weighted (T2W) and single shot echo planar imaging diffusion tensor imaging (EPI DTI) data were collected from 13 subjects with biopsy proven prostate cancer prior to surgical removal of the gland. Rapid acquisition with relaxation enhancement (RARE) T2W and spin-echo DTI data were acquired ex-vivo from the fixed prostatectomy specimens. Digitized whole mount histology sections, examined and annotated by a pathologist, were registered to the in-vivo and ex-vivo DTI data, and the average values of apparent diffusion coefficient (ADC) and FA were calculated from ROIs encompassing normal and cancerous peripheral zone (PZ). In addition, Monte Carlo simulations were carried out to assess the dependence of the apparent FA on the ADC values for different signal to noise ratios (SNRs). ADC values were significantly lower in tumors than in normal PZ both in-vivo and ex-vivo, while the difference in FA values between tumors and normal PZ was significant only in-vivo. Paired t-test showed significant difference between in-vivo and ex-vivo FA values in tumors, but not in the normal PZ. The simulations showed that lower SNR results in an increasing overestimation of the FA values with decreasing ADC. These results suggest that the in-vivo increase in FA values in tumors is due to low SNR, rather than the presence of cancer. The results of this study suggest that FA does not contribute significantly to the diagnostic capabilities of DTI in prostate cancer.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Fractional anisotropy; Gleason Score; Prostate cancer

Mesh:

Year:  2015        PMID: 25721995      PMCID: PMC5462375          DOI: 10.1016/j.mri.2015.02.022

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  24 in total

1.  Combined prostate diffusion tensor imaging and dynamic contrast enhanced MRI at 3T--quantitative correlation with biopsy.

Authors:  Piotr Kozlowski; Silvia D Chang; Ran Meng; Burkhard Mädler; Robert Bell; Edward C Jones; S Larry Goldenberg
Journal:  Magn Reson Imaging       Date:  2010-04-13       Impact factor: 2.546

2.  Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach.

Authors:  C T Metz; S Klein; M Schaap; T van Walsum; W J Niessen
Journal:  Med Image Anal       Date:  2010-10-28       Impact factor: 8.545

3.  Diffusion tensor imaging of the normal prostate at 3 Tesla.

Authors:  Bengi Gürses; Neslihan Kabakci; Arzu Kovanlikaya; Zeynep Firat; Ali Bayram; Aziz Müfit Uluğ; Aziz Müfit Uluo; Ilhami Kovanlikaya
Journal:  Eur Radiol       Date:  2007-10-25       Impact factor: 5.315

4.  Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T.

Authors:  Jonathan A D Farrell; Bennett A Landman; Craig K Jones; Seth A Smith; Jerry L Prince; Peter C M van Zijl; Susumu Mori
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

5.  Differentiation of noncancerous tissue and cancer lesions by apparent diffusion coefficient values in transition and peripheral zones of the prostate.

Authors:  Chiho Sato; Shinji Naganawa; Tatsuya Nakamura; Hisashi Kumada; Shunichi Miura; Osamu Takizawa; Takeo Ishigaki
Journal:  J Magn Reson Imaging       Date:  2005-03       Impact factor: 4.813

6.  Prostate cancer detection with 3-T MRI: comparison of diffusion-weighted and T2-weighted imaging.

Authors:  Huadong Miao; Hiroshi Fukatsu; Takeo Ishigaki
Journal:  Eur J Radiol       Date:  2006-11-07       Impact factor: 3.528

7.  In vivo measurement of the apparent diffusion coefficient in normal and malignant prostatic tissues using echo-planar imaging.

Authors:  Bashar Issa
Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

8.  Magnetic resonance diffusion characteristics of histologically defined prostate cancer in humans.

Authors:  Junqian Xu; Peter A Humphrey; Adam S Kibel; Abraham Z Snyder; Vamsidhar R Narra; Joseph J H Ackerman; Sheng-Kwei Song
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

9.  Prospective evaluation of lateral biopsies of the peripheral zone for prostate cancer detection.

Authors:  J J Chang; K Shinohara; V Bhargava; J C Presti
Journal:  J Urol       Date:  1998-12       Impact factor: 7.450

10.  Diffusion tensor magnetic resonance imaging of prostate cancer.

Authors:  Guglielmo Manenti; Marco Carlani; Stefano Mancino; Vittorio Colangelo; Mauro Di Roma; Ettore Squillaci; Giovanni Simonetti
Journal:  Invest Radiol       Date:  2007-06       Impact factor: 6.016

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  12 in total

1.  MR measurement of luminal water in prostate gland: Quantitative correlation between MRI and histology.

Authors:  Shirin Sabouri; Ladan Fazli; Silvia D Chang; Richard Savdie; Edward C Jones; S Larry Goldenberg; Peter C Black; Piotr Kozlowski
Journal:  J Magn Reson Imaging       Date:  2017-01-27       Impact factor: 4.813

Review 2.  Various diffusion magnetic resonance imaging techniques for pancreatic cancer.

Authors:  Meng-Yue Tang; Xiao-Ming Zhang; Tian-Wu Chen; Xiao-Hua Huang
Journal:  World J Radiol       Date:  2015-12-28

3.  Luminal Water Imaging: A New MR Imaging T2 Mapping Technique for Prostate Cancer Diagnosis.

Authors:  Shirin Sabouri; Silvia D Chang; Richard Savdie; Jing Zhang; Edward C Jones; S Larry Goldenberg; Peter C Black; Piotr Kozlowski
Journal:  Radiology       Date:  2017-04-10       Impact factor: 11.105

4.  Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: A preliminary study.

Authors:  Markus Nilsson; Greta Eklund; Filip Szczepankiewicz; Mikael Skorpil; Karin Bryskhe; Carl-Fredrik Westin; Claes Lindh; Lennart Blomqvist; Fredrik Jäderling
Journal:  Magn Reson Med       Date:  2021-05-31       Impact factor: 3.737

Review 5.  Limitations and Prospects for Diffusion-Weighted MRI of the Prostate.

Authors:  Roger Bourne; Eleftheria Panagiotaki
Journal:  Diagnostics (Basel)       Date:  2016-05-27

6.  Evaluation of Peripheral Zone Prostate Cancer Aggressiveness Using the Ratio of Diffusion Tensor Imaging Measures.

Authors:  Aslihan Onay; Gokhan Ertas; Metin Vural; Omer Acar; Yesim Saglican; Bilgen Coskun; Sergin Akpek
Journal:  Contrast Media Mol Imaging       Date:  2017-09-26       Impact factor: 3.161

7.  Comparison Between 3-Scan Trace and Diagonal Body Diffusion-Weighted Imaging Acquisitions: A Phantom and Volunteer Study.

Authors:  Stefanie J Hectors; Mathilde Wagner; Idoia Corcuera-Solano; Martin Kang; Alto Stemmer; Michael A Boss; Bachir Taouli
Journal:  Tomography       Date:  2016-12

8.  Discrimination between clinical significant and insignificant prostate cancer with apparent diffusion coefficient - a systematic review and meta analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  BMC Cancer       Date:  2020-05-27       Impact factor: 4.430

9.  Diffusion Is Directional: Innovative Diffusion Tensor Imaging to Improve Prostate Cancer Detection.

Authors:  Chen Shenhar; Hadassa Degani; Yaara Ber; Jack Baniel; Shlomit Tamir; Ofer Benjaminov; Philip Rosen; Edna Furman-Haran; David Margel
Journal:  Diagnostics (Basel)       Date:  2021-03-20

10.  Registration of histopathology to magnetic resonance imaging of prostate cancer.

Authors:  Kristina Sandgren; Erik Nilsson; Angsana Keeratijarut Lindberg; Sara Strandberg; Lennart Blomqvist; Anders Bergh; Bengt Friedrich; Jan Axelsson; Margareta Ögren; Mattias Ögren; Anders Widmark; Camilla Thellenberg Karlsson; Karin Söderkvist; Katrine Riklund; Joakim Jonsson; Tufve Nyholm
Journal:  Phys Imaging Radiat Oncol       Date:  2021-04-12
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