Literature DB >> 16416323

Multi-slice DCE-MRI data using P760 distinguishes between metastatic and non-metastatic rodent prostate tumors.

Xiaobing Fan1, Milica Medved, Sean Foxley, Jonathan N River, Marta Zamora, Gregory S Karczmar, Claire Corot, Philippe Robert, Philippe Bourrinet.   

Abstract

An intermediate molecular weight contrast agent P760 was used to investigate the ability of multi-slice dynamic contrast-enhanced MRI (DCE-MRI) to distinguish metastatic from non-metastatic rodent prostate tumors. Non-metastatic AT2.1 and metastatic AT3.1 prostate tumors originally derived from the Dunning prostate cancer model were implanted on the hind leg of Copenhagen rats. Multi-sliced DCE-MRI data were acquired on a SIGNA 1.5 T scanner and analyzed using a recently developed empirical mathematical model. The P760 multi-slice DCE-MRI data in combination with the empirical mathematical model successfully distinguished between metastatic and non-metastatic rodent prostate tumors. Specifically, fitting the data with the empirical model showed that metastatic tumors had significantly faster contrast media uptake (p<0.001) and slower washout rates (p<0.01) than non-metastatic tumors.

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Year:  2006        PMID: 16416323     DOI: 10.1007/s10334-005-0022-y

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  34 in total

1.  MRI assessment of microvascular characteristics in experimental breast tumors using a new blood pool contrast agent (MS-325) with correlations to histopathology.

Authors:  K Turetschek; E Floyd; T Helbich; T P Roberts; D M Shames; M F Wendland; W O Carter; R C Brasch
Journal:  J Magn Reson Imaging       Date:  2001-09       Impact factor: 4.813

2.  Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Authors:  C K Kuhl; P Mielcareck; S Klaschik; C Leutner; E Wardelmann; J Gieseke; H H Schild
Journal:  Radiology       Date:  1999-04       Impact factor: 11.105

3.  Dynamic bilateral contrast-enhanced MR imaging of the breast: trade-off between spatial and temporal resolution.

Authors:  Christiane K Kuhl; Hans H Schild; Nuschin Morakkabati
Journal:  Radiology       Date:  2005-09       Impact factor: 11.105

Review 4.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

5.  Pathophysiologic basis of contrast enhancement in breast tumors.

Authors:  M V Knopp; E Weiss; H P Sinn; J Mattern; H Junkermann; J Radeleff; A Magener; G Brix; S Delorme; I Zuna; G van Kaick
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

6.  Multicompartment analysis of gadolinium chelate kinetics: blood-tissue exchange in mammary tumors as monitored by dynamic MR imaging.

Authors:  R E Port; M V Knopp; U Hoffmann; S Milker-Zabel; G Brix
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

7.  Temporal sampling requirements for the tracer kinetics modeling of breast disease.

Authors:  E Henderson; B K Rutt; T Y Lee
Journal:  Magn Reson Imaging       Date:  1998-11       Impact factor: 2.546

8.  Tumor microvascular changes in antiangiogenic treatment: assessment by magnetic resonance contrast media of different molecular weights.

Authors:  Karl Turetschek; Anda Preda; Viktor Novikov; Robert C Brasch; Hanns J Weinmann; Patrick Wunderbaldinger; Timothy P L Roberts
Journal:  J Magn Reson Imaging       Date:  2004-07       Impact factor: 4.813

9.  Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time.

Authors:  Milica Medved; Greg Karczmar; Cheng Yang; James Dignam; Thomas F Gajewski; Hedy Kindler; Everett Vokes; Peter MacEneany; Myrosia T Mitchell; Walter M Stadler
Journal:  J Magn Reson Imaging       Date:  2004-07       Impact factor: 4.813

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

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  5 in total

1.  Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.

Authors:  Xiaobing Fan; Milica Medved; Gregory S Karczmar; Cheng Yang; Sean Foxley; Sanaz Arkani; Wendy Recant; Marta A Zamora; Hiroyuki Abe; Gillian M Newstead
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

2.  Dynamic Contrast-Enhanced Magnetic Resonance Imaging as a Pharmacodynamic Biomarker for Pazopanib in Metastatic Renal Carcinoma.

Authors:  Randy F Sweis; Milica Medved; Shannon Towey; Gregory S Karczmar; Aytekin Oto; Russell Z Szmulewitz; Peter H O'Donnell; Paul Fishkin; Theodore Karrison; Walter M Stadler
Journal:  Clin Genitourin Cancer       Date:  2016-08-17       Impact factor: 2.872

3.  Assessment of neovascular permeability in a pancreatic tumor model using dynamic contrast-enhanced (DCE) MRI with contrast agents of different molecular weights.

Authors:  Louke J Delrue; Veerle Casneuf; Nancy Van Damme; Peter Blanckaert; Marc Peeters; Wim P Ceelen; Philippe C O Duyck
Journal:  MAGMA       Date:  2011-05-13       Impact factor: 2.310

4.  Fast Temporal Resolution Dynamic Contrast-Enhanced MRI: Histogram Analysis Versus Visual Analysis for Differentiating Benign and Malignant Breast Lesions.

Authors:  Naoko Mori; Federico D Pineda; Keiko Tsuchiya; Shunji Mugikura; Shoki Takahashi; Gregory S Karczmar; Hiroyuki Abe
Journal:  AJR Am J Roentgenol       Date:  2018-07-31       Impact factor: 3.959

5.  A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.

Authors:  Xiaobing Fan; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

  5 in total

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