Literature DB >> 9094080

Quantitative diffusion imaging in implanted human breast tumors.

C F Maier1, Y Paran, P Bendel, B K Rutt, H Degani.   

Abstract

Quantitative diffusion measurements were performed in tumors arising from inoculation of nude mice with two human breast cancer cell lines (MCF7 and T47D) to evaluate the specificity of this technique for characterizing solid tumors. ADC maps were compared to histology and correlated well with gross tumor morphology. Measured ADCs were highly specific for viable and necrotic tumor in the five T47D tumors included in this study (P < 0.02), while only two of the five MCF7 tumors studied developed distinguishable areas of necrosis. No statistically significant difference was observed in ADCs from viable tumor between the different cell lines (P > 0.05).

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Year:  1997        PMID: 9094080     DOI: 10.1002/mrm.1910370417

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  9 in total

1.  Sensitivity analysis of an image-based solid tumor computational model with heterogeneous vasculature and porosity.

Authors:  Gregory L Pishko; Garrett W Astary; Thomas H Mareci; Malisa Sarntinoranont
Journal:  Ann Biomed Eng       Date:  2011-07-13       Impact factor: 3.934

2.  Diagnostic value of increased diffusion weighting of a steady-state free precession sequence for differentiating acute benign osteoporotic fractures from pathologic vertebral compression fractures.

Authors:  A Baur; A Huber; B Ertl-Wagner; R Dürr; S Zysk; S Arbogast; M Deimling; M Reiser
Journal:  AJNR Am J Neuroradiol       Date:  2001-02       Impact factor: 3.825

Review 3.  Diffusion-weighted magnetic resonance imaging and its application to cancer.

Authors:  Elizabeth M Charles-Edwards; Nandita M deSouza
Journal:  Cancer Imaging       Date:  2006-09-13       Impact factor: 3.909

4.  Feasibility of single-voxel MRS measurement of apparent diffusion coefficient of water in breast tumors.

Authors:  C A Corum; A D McIntosh; P J Bolan; M Nelson; A L Snyder; N J Powell; J Boyum; T H Emory; D Yee; T M Tuttle; L I Everson; M Garwood
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

5.  Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI.

Authors:  Yael Mardor; Yiftach Roth; Aharon Ochershvilli; Roberto Spiegelmann; Thomas Tichler; Dianne Daniels; Stephan E Maier; Ouzi Nissim; Zvi Ram; Jacob Baram; Arie Orenstein; Raphael Pfeffer
Journal:  Neoplasia       Date:  2004 Mar-Apr       Impact factor: 5.715

6.  Potential of Diffusion-Weighted Imaging in the Characterization of Malignant, Benign, and Healthy Breast Tissues and Molecular Subtypes of Breast Cancer.

Authors:  Uma Sharma; Rani G Sah; Khushbu Agarwal; Rajinder Parshad; Vurthaluru Seenu; Sandeep R Mathur; Smriti Hari; Naranamangalam R Jagannathan
Journal:  Front Oncol       Date:  2016-05-23       Impact factor: 6.244

7.  The distribution of the apparent diffusion coefficient as an indicator of the response to chemotherapeutics in ovarian tumour xenografts.

Authors:  Monique C Tourell; Ali Shokoohmand; Marietta Landgraf; Nina P Holzapfel; Patrina S P Poh; Daniela Loessner; Konstantin I Momot
Journal:  Sci Rep       Date:  2017-02-21       Impact factor: 4.379

8.  Magnetic resonance imaging and spectroscopy of combretastatin A4 prodrug-induced disruption of tumour perfusion and energetic status.

Authors:  D A Beauregard; P E Thelwall; D J Chaplin; S A Hill; G E Adams; K M Brindle
Journal:  Br J Cancer       Date:  1998-06       Impact factor: 7.640

Review 9.  Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.

Authors:  Julia Camps-Herrero
Journal:  BJR Open       Date:  2019-03-08
  9 in total

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