Literature DB >> 24375840

Correlation of dynamic contrast-enhanced MRI perfusion parameters with angiogenesis and biologic aggressiveness of rectal cancer: Preliminary results.

Dong-Myung Yeo1, Soon Nam Oh, Chan-Kwon Jung, Myung Ah Lee, Seong Taek Oh, Sung Eun Rha, Seung Eun Jung, Jae Young Byun, Peter Gall, Yohan Son.   

Abstract

PURPOSE: To investigate whether quantitative parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are correlated with angiogenesis and biologic aggressiveness of rectal cancer.
MATERIALS AND METHODS: A total of 46 patients with rectal cancer underwent DCE-MRI. Using a two-compartmental model, quantitative parameters (K(trans) , kep , ve , and iAUC) were calculated from the whole-transverse region of interest (ROI) and high K(trans) area ROI of entire tumors. Histological specimens were analyzed for tumor size; T/N stage; lymphatic, vascular, perineural invasion; expression of epidermal growth factor receptor (EGFR); and KRAS gene mutations. Tumor angiogenesis was evaluated based on the microvessel density (MVD) and the expression level of the vascular endothelial growth factor. Correlations of the DCE-MRI parameters with histological markers and angiogenesis were determined using Student's t-test and analysis of variance (ANOVA).
RESULTS: The mean kep from high K(trans) area ROIs showed a significantly positive correlation with MVD (P  =  0.030, r  =  0.514, R(2)   =  0.264). The mean kep from the whole-transverse ROIs showed a significant inverse correlation with T stage (T1 vs. T2-4, P  =  0.021). EGFR-positive cancer displayed higher mean K(trans) (P  =  0.045) and kep (P  =  0.038) than EGFR-negative cancer in whole-transverse ROIs.
CONCLUSION: These preliminary results suggest that the determination of kep of high K(trans) area permits the noninvasive estimation of tumor angiogenesis in rectal cancer and that DCE-MRI parameters can be used as imaging biomarkers to predict the biologic aggressiveness of the tumor and patient prognosis.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  dynamic contrast-enhanced magnetic resonance imaging; perfusion parameters; rectal cancer

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Year:  2013        PMID: 24375840     DOI: 10.1002/jmri.24541

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  29 in total

1.  Dynamic contrast enhanced T1 MRI perfusion differentiates pseudoprogression from recurrent glioblastoma.

Authors:  Alissa A Thomas; Julio Arevalo-Perez; Thomas Kaley; John Lyo; Kyung K Peck; Weiji Shi; Zhigang Zhang; Robert J Young
Journal:  J Neurooncol       Date:  2015-08-15       Impact factor: 4.130

2.  Usefulness of dynamic contrast-enhanced magnetic resonance imaging for predicting treatment response to vinorelbine-cisplatin with or without recombinant human endostatin in bone metastasis of non-small cell lung cancer.

Authors:  Rui Zhang; Zhi-Yu Wang; Yue-Hua Li; Yao-Hong Lu; Shuai Wang; Wen-Xi Yu; Hui Zhao
Journal:  Am J Cancer Res       Date:  2016-12-01       Impact factor: 6.166

3.  Multiparametric MRI of rectal cancer-repeatability of quantitative data: a feasibility study.

Authors:  Bengi Gürses; Emre Altınmakas; Medine Böge; M Serhat Aygün; Onur Bayram; Emre Balık
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

4.  Soft tissue sarcoma: DWI and DCE-MRI parameters correlate with Ki-67 labeling index.

Authors:  Ji Hyun Lee; Young Cheol Yoon; Sung Wook Seo; Yoon-La Choi; Hyun Su Kim
Journal:  Eur Radiol       Date:  2019-10-18       Impact factor: 5.315

5.  Cabozantinib Exhibits Potent Antitumor Activity in Colorectal Cancer Patient-Derived Tumor Xenograft Models via Autophagy and Signaling Mechanisms.

Authors:  Aaron J Scott; John J Arcaroli; Stacey M Bagby; Rachel Yahn; Kendra M Huber; Natalie J Serkova; Anna Nguyen; Jihye Kim; Andrew Thorburn; Jon Vogel; Kevin S Quackenbush; Anna Capasso; Anna Schreiber; Patrick Blatchford; Peter J Klauck; Todd M Pitts; S Gail Eckhardt; Wells A Messersmith
Journal:  Mol Cancer Ther       Date:  2018-07-19       Impact factor: 6.261

6.  Prognostic aspects of dynamic contrast-enhanced magnetic resonance imaging in synchronous distant metastatic rectal cancer.

Authors:  Jing Yu; Qing Xu; Dong-Ya Huang; Jia-Cheng Song; Yan Li; Lu-Lu Xu; Hai-Bin Shi
Journal:  Eur Radiol       Date:  2016-09-05       Impact factor: 5.315

Review 7.  Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer.

Authors:  Trang T Pham; Gary P Liney; Karen Wong; Michael B Barton
Journal:  Br J Radiol       Date:  2017-03-07       Impact factor: 3.039

8.  Application of CT texture analysis in predicting histopathological characteristics of gastric cancers.

Authors:  Shunli Liu; Song Liu; Changfeng Ji; Huanhuan Zheng; Xia Pan; Yujuan Zhang; Wenxian Guan; Ling Chen; Yue Guan; Weifeng Li; Jian He; Yun Ge; Zhengyang Zhou
Journal:  Eur Radiol       Date:  2017-06-22       Impact factor: 5.315

Review 9.  Multiparametric MRI in rectal cancer.

Authors:  Bengi Gürses; Medine Böge; Emre Altınmakas; Emre Balık
Journal:  Diagn Interv Radiol       Date:  2019-05       Impact factor: 2.630

10.  Early posttreatment assessment of MRI perfusion biomarkers can predict long-term response of lung cancer brain metastases to stereotactic radiosurgery.

Authors:  Neil K Taunk; Jung Hun Oh; Amita Shukla-Dave; Kathryn Beal; Behroze Vachha; Andrei Holodny; Vaios Hatzoglou
Journal:  Neuro Oncol       Date:  2018-03-27       Impact factor: 12.300

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