Literature DB >> 25044978

Dynamic contrast-enhanced MRI of gastric cancer: Correlation of the perfusion parameters with pathological prognostic factors.

Ijin Joo1, Jeong Min Lee1,2, Joon Koo Han1,2, Han-Kwang Yang3, Hyuk-Joon Lee3, Byung Ihn Choi1,2.   

Abstract

PURPOSE: To investigate the feasibility of dynamic, contrast-enhanced, magnetic resonance imaging (DCE-MRI) for perfusion quantification of gastric cancers, and to correlate the DCE-MRI parameters with the pathological prognostic factors.
MATERIALS AND METHODS: This prospective study was approved by our Institutional Review Board. Twenty-seven patients with gastric cancers underwent DCE-MRI using a free-breathing, radial, gradient-echo (GRE) sequence with k-space weighted image contrast (KWIC) reconstruction on a 3T scanner. The DCE-MRI parameters (volume transfer coefficient [K(trans) ], reverse reflux rate constant [Kep ], extracellular extravascular volume fraction [Ve ], and initial area under the gadolinium concentration curve during the first 60 seconds [iAUC]) of gastric cancer and normal wall were measured and compared with each other using the Wilcoxon signed rank test. The relationship between the DCE-MRI parameters of gastric cancer and the pathological prognostic factors were evaluated using the Mann-Whitney test or the Spearman rank correlation test.
RESULTS: DCE-MRIs were of diagnostic quality in 22 patients (81.5%). Ve and iAUC were significantly higher in gastric cancer than in normal gastric wall (P < 0.05). Ve showed significant positive correlation with T-staging of gastric cancers (P < 0.05). K(trans) was significantly correlated with the grades of epidermal growth-factor receptor expression (P < 0.05).
CONCLUSION: DCE-MRI using a radial GRE with KWIC reconstruction is feasible for quantification of the perfusion dynamics of gastric cancers, and the DCE-MRI parameters of gastric cancers may provide prognostic information.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  DCE-MRI; gastric cancer; perfusion

Mesh:

Substances:

Year:  2014        PMID: 25044978     DOI: 10.1002/jmri.24711

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


  11 in total

Review 1.  Imaging strategies in the management of gastric cancer: current role and future potential of MRI.

Authors:  Alicia S Borggreve; Lucas Goense; Hylke J F Brenkman; Stella Mook; Gert J Meijer; Frank J Wessels; Marcel Verheij; Edwin P M Jansen; Richard van Hillegersberg; Peter S N van Rossum; Jelle P Ruurda
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

2.  Feasibility of free-breathing dynamic contrast-enhanced MRI of gastric cancer using a golden-angle radial stack-of-stars VIBE sequence: comparison with the conventional contrast-enhanced breath-hold 3D VIBE sequence.

Authors:  Huan-Huan Li; Hui Zhu; Lei Yue; Yi Fu; Robert Grimm; Alto Stemmer; Cai-Xia Fu; Wei-Jun Peng
Journal:  Eur Radiol       Date:  2017-12-19       Impact factor: 5.315

3.  Multiparametric fully-integrated 18-FDG PET/MRI of advanced gastric cancer for prediction of chemotherapy response: a preliminary study.

Authors:  Dong Ho Lee; Se Hyung Kim; Seock-Ah Im; Do-Youn Oh; Tae-Yong Kim; Joon Koo Han
Journal:  Eur Radiol       Date:  2015-11-28       Impact factor: 5.315

4.  Value of quantitative dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging in predicting extramural venous invasion in locally advanced gastric cancer and prognostic significance.

Authors:  Yongjian Zhu; Yutao Zhou; Wen Zhang; Liyan Xue; Ying Li; Jun Jiang; Yuxin Zhong; Sicong Wang; Liming Jiang
Journal:  Quant Imaging Med Surg       Date:  2021-01

Review 5.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

6.  Association between spectral computed tomography images and clinicopathological features in advanced gastric adenocarcinoma.

Authors:  Xiaohua Chen; Ke Ren; Pan Liang; Jiayin Li; Kuisheng Chen; Jianbo Gao
Journal:  Oncol Lett       Date:  2017-09-26       Impact factor: 2.967

7.  Grading of pancreatic neuroendocrine neoplasms using pharmacokinetic parameters derived from dynamic contrast-enhanced MRI.

Authors:  Weiwei Zhao; Zhiyong Quan; Xufang Huang; Jing Ren; Didi Wen; Guangwen Zhang; Zhongqiang Shi; Hong Yin; Yi Huan
Journal:  Oncol Lett       Date:  2018-03-29       Impact factor: 2.967

8.  Dynamic Contrast-Enhanced Ultrasound of Gastric Cancer: Correlation with Perfusion CT and Histopathology.

Authors:  Ijin Joo; Se Hyung Kim; Dong Ho Lee; Joon Koo Han
Journal:  Korean J Radiol       Date:  2019-05       Impact factor: 3.500

9.  Predicting T and N Staging of Resectable Gastric Cancer According to Whole Tumor Histogram Analysis About a Non-Cartesian k-Space Acquisition DCE-MRI: A Feasibility Study.

Authors:  Liangliang Yan; Jinrong Qu; Jing Li; Hongkai Zhang; Yanan Lu; Jianbo Gao
Journal:  Cancer Manag Res       Date:  2021-10-18       Impact factor: 3.989

Review 10.  Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.

Authors:  Massimo E Maffei
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

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