Literature DB >> 11888935

Improved magnetic resonance imaging detection of prostate cancer in a transgenic mouse model.

Sheng-Kwei Song1, Zhican Qu, Emily M Garabedian, Jeffrey I Gordon, Jeffrey Milbrandt, Joseph J H Ackerman.   

Abstract

Transgenic mouse models of prostate cancer provide an opportunity to conduct genetic tests of the molecular mechanisms underlying initiation and progression of tumorigenesis. They also allow assessment of the effects of various pharmacological interventions. However, one limitation that has impeded full exploitation of these models is the lack of in vivo imaging procedures of sufficient sensitivity and resolution to detect and follow tumors at early stages of growth. We have addressed this problem through the use of diffusion-weighted magnetic resonance imaging (DWI). A transgenic mouse model (CR2-TAg) of prostate cancer was used to show that DWI can detect tumors <1 mm in diameter. Markedly enhanced DWI contrast results from a 2-fold difference in apparent diffusion coefficient between benign and malignant prostatic tissue (P < 0.00001). Clinical application of DWI may offer advantages over current T2-weighted magnetic resonance imaging methods.

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Year:  2002        PMID: 11888935

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  17 in total

1.  Biexponential characterization of prostate tissue water diffusion decay curves over an extended b-factor range.

Authors:  Robert V Mulkern; Agnieszka Szot Barnes; Steven J Haker; Yin P Hung; Frank J Rybicki; Stephan E Maier; Clare M C Tempany
Journal:  Magn Reson Imaging       Date:  2006-02-20       Impact factor: 2.546

2.  Diffusion-Weighted Magnetic Resonance Imaging Characterization of White Matter Injury Produced by Axon-Sparing Demyelination and Severe Contusion Spinal Cord Injury in Rats.

Authors:  Jason F Talbott; Yvette S Nout-Lomas; Michael F Wendland; Pratik Mukherjee; J Russell Huie; Christopher P Hess; Marc C Mabray; Jacqueline C Bresnahan; Michael S Beattie
Journal:  J Neurotrauma       Date:  2016-02-01       Impact factor: 5.269

3.  MRI detection of early bone metastases in b16 mouse melanoma models.

Authors:  Karen M Gauvain; Joel R Garbow; Sheng-Kwei Song; Angela C Hirbe; Katherine Weilbaecher
Journal:  Clin Exp Metastasis       Date:  2005       Impact factor: 5.150

Review 4.  Interactive Feature Space Explorer© for multi-modal magnetic resonance imaging.

Authors:  Alpay Özcan; Barış Türkbey; Peter L Choyke; Oguz Akin; Ömer Aras; Seong K Mun
Journal:  Magn Reson Imaging       Date:  2015-04-11       Impact factor: 2.546

Review 5.  Therapeutic response in musculoskeletal soft tissue sarcomas: evaluation by MRI.

Authors:  Xin Wang; Michael A Jacobs; Laura Fayad
Journal:  NMR Biomed       Date:  2011-07       Impact factor: 4.044

6.  The role of magnetic resonance imaging (MRI) in prostate cancer imaging and staging at 1.5 and 3 Tesla: the Beth Israel Deaconess Medical Center (BIDMC) approach.

Authors:  B Nicolas Bloch; Robert E Lenkinski; Neil M Rofsky
Journal:  Cancer Biomark       Date:  2008       Impact factor: 4.388

7.  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

Review 8.  DW-MRI of the urogenital tract: applications in oncology.

Authors:  G Petralia; H C Thoeny
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

9.  Dysprosium-Modified Tobacco Mosaic Virus Nanoparticles for Ultra-High-Field Magnetic Resonance and Near-Infrared Fluorescence Imaging of Prostate Cancer.

Authors:  He Hu; Yifan Zhang; Sourabh Shukla; Yuning Gu; Xin Yu; Nicole F Steinmetz
Journal:  ACS Nano       Date:  2017-09-06       Impact factor: 15.881

Review 10.  Molecular imaging of prostate cancer: a concise synopsis.

Authors:  Hossein Jadvar
Journal:  Mol Imaging       Date:  2009 Mar-Apr       Impact factor: 4.488

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