Literature DB >> 23001604

Diffusion-weighted MR imaging in liver metastases of colorectal cancer: reproducibility and biological validation.

Linda Heijmen1, Edwin E G W Ter Voert, Iris D Nagtegaal, Paul Span, Johan Bussink, Cornelis J A Punt, Johannes H W de Wilt, Fred C G J Sweep, Arend Heerschap, Hanneke W M van Laarhoven.   

Abstract

OBJECTIVES: Before diffusion-weighted imaging (DWI) can be implemented in standard clinical practice for response monitoring, data on reproducibility are needed to assess which differences outside the range of normal variation can be detected in an individual patient. In this study we assessed the reproducibility of the apparent diffusion coefficient (ADC) values in colorectal liver metastases. To provide a biological basis for these values, their relation with histopathology was assessed.
METHODS: DWI was performed twice in 1 week in patients scheduled for metastasectomy of colorectal liver metastases. Correlation between ADC values and apoptosis marker p53, anti-apoptotic protein BCL-2, proliferation marker Ki67 and serum vascular endothelial growth factor (VEGF) concentration were assessed.
RESULTS: A good reproducibility coefficient of the mean ADC (coefficient of reproducibility 0.20 × 10(-3) mm(2)/s) was observed in colorectal liver metastases (n = 21). The ADC value was related to the proliferation index and BCL-2 expression of the metastases. Furthermore, in metastases recently treated with systemic therapy, the ADC was significantly higher (1.27 × 10(-3) mm(2)/s vs 1.05 × 10(-3) mm(2)/s, P = 0.02).
CONCLUSIONS: The good reproducibility, correlation with histopathology and implied sensitivity for systemic treatment-induced anti-tumour effects suggest that DWI might be an excellent tool to monitor response in metastatic colorectal cancer.

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Year:  2012        PMID: 23001604     DOI: 10.1007/s00330-012-2654-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  28 in total

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2.  Apparent diffusion coefficient for evaluating tumour response to neoadjuvant chemoradiation therapy for locally advanced rectal cancer.

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3.  Statistical methods for assessing agreement between two methods of clinical measurement.

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4.  Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients.

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Journal:  AJR Am J Roentgenol       Date:  2007-04       Impact factor: 3.959

5.  Osteosarcoma: preliminary results of in vivo assessment of tumor necrosis after chemotherapy with diffusion- and perfusion-weighted magnetic resonance imaging.

Authors:  Markus Uhl; Ulrich Saueressig; Miriam van Buiren; Udo Kontny; Charlotte Niemeyer; Gabriele Köhler; Kamil Ilyasov; Mathias Langer
Journal:  Invest Radiol       Date:  2006-08       Impact factor: 6.016

Review 6.  Theoretical models of the diffusion weighted MR signal.

Authors:  Dmitriy A Yablonskiy; Alexander L Sukstanskii
Journal:  NMR Biomed       Date:  2010-08       Impact factor: 4.044

7.  Apparent diffusion coefficient: a quantitative parameter for in vivo tumor characterization.

Authors:  Andreas M Herneth; Samira Guccione; Mark Bednarski
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8.  Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

Authors:  Daniel A Hamstra; Craig J Galbán; Charles R Meyer; Timothy D Johnson; Pia C Sundgren; Christina Tsien; Theodore S Lawrence; Larry Junck; David J Ross; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
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Review 9.  Diffusion-weighted MRI in the body: applications and challenges in oncology.

Authors:  Dow-Mu Koh; David J Collins
Journal:  AJR Am J Roentgenol       Date:  2007-06       Impact factor: 3.959

10.  Chemotherapy, bevacizumab, and cetuximab in metastatic colorectal cancer.

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Journal:  N Engl J Med       Date:  2009-02-05       Impact factor: 91.245

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  25 in total

1.  Diffusion-weighted magnetic resonance imaging in the prediction and assessment of chemotherapy outcome in liver metastases.

Authors:  Francesco Mungai; Filippo Pasquinelli; Lorenzo Nicola Mazzoni; Gianni Virgili; Alfonso Ragozzino; Emilio Quaia; Giovanni Morana; Andrea Giovagnoni; Luigi Grazioli; Stefano Colagrande
Journal:  Radiol Med       Date:  2014-01-10       Impact factor: 3.469

2.  Usefulness of 3T diffusion-weighted MRI for discrimination of reactive and metastatic cervical lymph nodes in patients with oral squamous cell carcinoma: a pilot study.

Authors:  J Si; S Huang; H Shi; Z Liu; Q Hu; G Wang; G Shen; D Zhang
Journal:  Dentomaxillofac Radiol       Date:  2014-01-22       Impact factor: 2.419

Review 3.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

4.  Apparent Diffusion Coefficient Histogram Analysis for Assessing Tumor Staging and Detection of Lymph Node Metastasis in Epithelial Ovarian Cancer: Correlation with p53 and Ki-67 Expression.

Authors:  Feng Wang; Yuxiang Wang; Yan Zhou; Congrong Liu; Dong Liang; Lizhi Xie; Zhihang Yao; Jianyu Liu
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5.  Early survival prediction after intra-arterial therapies: a 3D quantitative MRI assessment of tumour response after TACE or radioembolization of colorectal cancer metastases to the liver.

Authors:  Julius Chapiro; Rafael Duran; MingDe Lin; Rüdiger Schernthaner; David Lesage; Zhijun Wang; Lynn Jeanette Savic; Jean-François Geschwind
Journal:  Eur Radiol       Date:  2015-01-31       Impact factor: 5.315

6.  Interobserver agreement of semi-automated and manual measurements of functional MRI metrics of treatment response in hepatocellular carcinoma.

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Review 7.  Update on the role of imaging in management of metastatic colorectal cancer.

Authors:  Sree Harsha Tirumani; Kyung Won Kim; Mizuki Nishino; Stephanie A Howard; Katherine M Krajewski; Jyothi P Jagannathan; James M Cleary; Nikhil H Ramaiya; Atul B Shinagare
Journal:  Radiographics       Date:  2014 Nov-Dec       Impact factor: 5.333

8.  Manual and semi-automated delineation of locally advanced rectal cancer subvolumes with diffusion-weighted MRI.

Authors:  Nathan Hearn; William Bugg; Anthony Chan; Dinesh Vignarajah; Katelyn Cahill; Daisy Atwell; Jim Lagopoulos; Myo Min
Journal:  Br J Radiol       Date:  2020-09-02       Impact factor: 3.039

9.  Imaging evaluation of sorafenib for treatment of advanced hepatocellular carcinoma.

Authors:  Tianying Zheng; Hanyu Jiang; Yi Wei; Zixing Huang; Jie Chen; Ting Duan; Bin Song
Journal:  Chin J Cancer Res       Date:  2018-06       Impact factor: 5.087

10.  Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.

Authors:  Sabrina Doblas; Gilberto S Almeida; François-Xavier Blé; Philippe Garteiser; Benjamin A Hoff; Dominick J O McIntyre; Lydia Wachsmuth; Thomas L Chenevert; Cornelius Faber; John R Griffiths; Andreas H Jacobs; David M Morris; James P B O'Connor; Simon P Robinson; Bernard E Van Beers; John C Waterton
Journal:  J Magn Reson Imaging       Date:  2015-05-26       Impact factor: 4.813

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