Literature DB >> 15720810

Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy.

Rebecca J Theilmann1, Rebecca Borders, Theodore P Trouard, Guowei Xia, Eric Outwater, James Ranger-Moore, Robert J Gillies, Alison Stopeck.   

Abstract

The goal of oncology is the individualization of patient care to optimize therapeutic responses and minimize toxicities. Achieving this will require noninvasive, quantifiable, and early markers of tumor response. Preclinical data from xenografted tumors using a variety of antitumor therapies have shown that magnetic resonance imaging (MRI)-measured mobility of tissue water (apparent diffusion coefficient of water, or ADCw) is a biomarker presaging cell death in the tumor. This communication tests the hypothesis that changes in water mobility will quantitatively presage tumor responses in patients with metastatic liver lesions from breast cancer. A total of 13 patients with metastatic breast cancer and 60 measurable liver lesions were monitored by diffusion MRI after initiation of new courses of chemotherapy. MR images were obtained prior to, and at 4, 11, and 39 days following the initiation of therapy for determination of volumes and ADCw values. The data indicate that diffusion MRI can predict response by 4 or 11 days after commencement of therapy, depending on the analytic method. The highest concordance was observed in tumor lesions that were less than 8 cm3 in volume at presentation. These results suggest that diffusion MRI can be useful to predict the response of liver metastases to effective chemotherapy.

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Year:  2004        PMID: 15720810      PMCID: PMC1531687          DOI: 10.1593/neo.03343

Source DB:  PubMed          Journal:  Neoplasia        ISSN: 1476-5586            Impact factor:   5.715


  25 in total

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Journal:  Cell Death Differ       Date:  2002-12       Impact factor: 15.828

2.  The diagnostic accuracy/efficacy of MRI in differentiating hepatic hemangiomas from metastatic colorectal/breast carcinoma: a multiple reader ROC analysis using a jackknife technique.

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Journal:  Radiology       Date:  1997-09       Impact factor: 11.105

4.  Evaluation of efficient chemoembolization mixtures by magnetic resonance imaging therapy monitoring: an experimental study on the VX2 tumor in the rabbit liver.

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Journal:  Cancer Res       Date:  1996-04-15       Impact factor: 12.701

5.  Hepatic colorectal metastases: correlation of MR imaging and pathologic appearance.

Authors:  E Outwater; J E Tomaszewski; J M Daly; H Y Kressel
Journal:  Radiology       Date:  1991-08       Impact factor: 11.105

6.  Liver lesion detection, characterization, and effect on patient management: comparison of single-phase spiral CT and current MR techniques.

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Journal:  Radiology       Date:  1997-09       Impact factor: 11.105

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Journal:  Cancer Res       Date:  1992-11-01       Impact factor: 12.701

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Journal:  Br J Cancer       Date:  1996-01       Impact factor: 7.640

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  85 in total

Review 1.  Diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for monitoring anticancer therapy.

Authors:  Anwar R Padhani; Aftab Alam Khan
Journal:  Target Oncol       Date:  2010-04-11       Impact factor: 4.493

2.  Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response.

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Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

Review 3.  Applications of molecular imaging.

Authors:  Craig J Galbán; Stefanie Galbán; Marcian E Van Dort; Gary D Luker; Mahaveer S Bhojani; Alnawaz Rehemtulla; Brian D Ross
Journal:  Prog Mol Biol Transl Sci       Date:  2010       Impact factor: 3.622

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Authors:  Daniel C Colvin; Mary E Loveless; Mark D Does; Zou Yue; Thomas E Yankeelov; John C Gore
Journal:  Magn Reson Imaging       Date:  2010-12-28       Impact factor: 2.546

5.  The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome.

Authors:  Bradford A Moffat; Thomas L Chenevert; Charles R Meyer; Paul E McKeever; Daniel E Hall; Benjamin A Hoff; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross
Journal:  Neoplasia       Date:  2006-04       Impact factor: 5.715

6.  DW-MRI ADC values can predict treatment response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.

Authors:  Xi-Ru Li; Liu-Quan Cheng; Mei Liu; Yan-Jun Zhang; Jian-Dong Wang; Ai-Lian Zhang; Xin Song; Jie Li; Yi-Qiong Zheng; Lei Liu
Journal:  Med Oncol       Date:  2011-02-01       Impact factor: 3.064

Review 7.  [Oncological imaging for therapy response assessment].

Authors:  J Stattaus
Journal:  Radiologe       Date:  2014-01       Impact factor: 0.635

8.  Respiratory gated diffusion-weighted imaging of the liver: value of apparent diffusion coefficient measurements in the differentiation between most commonly encountered benign and malignant focal liver lesions.

Authors:  Sofia Gourtsoyianni; Nickolas Papanikolaou; Spyros Yarmenitis; Thomas Maris; Apostolos Karantanas; Nicholas Gourtsoyiannis
Journal:  Eur Radiol       Date:  2007-11-10       Impact factor: 5.315

9.  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

Review 10.  Whole-body diffusion-weighted and proton imaging: a review of this emerging technology for monitoring metastatic cancer.

Authors:  Michael A Jacobs; Li Pan; Katarzyna J Macura
Journal:  Semin Roentgenol       Date:  2009-04       Impact factor: 0.800

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