Literature DB >> 23188618

Rectal cancer: assessment of response to neoadjuvant chemoradiation by dynamic contrast-enhanced MRI.

Katja Oberholzer1, Matthias Menig, Andreas Pohlmann, Theodor Junginger, Achim Heintz, Andreas Kreft, Torsten Hansen, Astrid Schneider, André Lollert, Heinz Schmidberger, Düber Christoph.   

Abstract

PURPOSE: To assess pretreatment functional and morphological tumor characteristics with magnetic resonance imaging (MRI) in advanced rectal carcinoma and to identify factors predicting response to neoadjuvant chemoradiation.
MATERIALS AND METHODS: In a prospective study, 95 patients with rectal carcinoma underwent dynamic contrast-enhanced MRI before and after chemoradiation. Quantitative parameters were derived from a pharmacokinetic two-compartment model. Tumors were also characterized with regard to mucinous status at pretreatment high-resolution MRI as nonmucinous or mucinous. Response to treatment was defined as a downshift in the local tumor stage.
RESULTS: The parameter k21 (contrast medium exchange rate) was higher at pretreatment MRI in nonmucinous compared with mucinous carcinomas (P < 0.001). The effect of chemoradiation on dynamic MR parameters was higher in nonmucinous carcinomas than in the mucinous subtype (P < 0.001). A higher rate of response to treatment was linked with nonmucinous morphology (P < 0.001). Multivariate analysis revealed an association between mucinous tumor morphology and poor response (odds ratio [95% confidence interval]: 0.113 [0.032-0.395], P < 0.001) as well as an association between a high 75th percentile of k21 and a higher response rate (odds ratio: 1.043 [1.001-1.086], P = 0.019).
CONCLUSION: Functional and morphological parameters of pretreatment MRI can assess tumor characteristics associated with the effectiveness of chemoradiation before treatment initiation.
Copyright © 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  DCE-MRI; chemoradiation; mucinous carcinoma; pathologic response; pharmacokinetic model; rectal cancer

Mesh:

Substances:

Year:  2012        PMID: 23188618     DOI: 10.1002/jmri.23952

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


  18 in total

Review 1.  Comparison of percentage changes in quantitative diffusion parameters for assessing pathological complete response to neoadjuvant therapy in locally advanced rectal cancer: a meta-analysis.

Authors:  Kai Chen; Hua-Long She; Tao Wu; Fang Hu; Tao Li; Liang-Ping Luo
Journal:  Abdom Radiol (NY)       Date:  2020-09-25

2.  Assessment of early therapeutic response to sorafenib in renal cell carcinoma xenografts by dynamic contrast-enhanced and diffusion-weighted MR imaging.

Authors:  T Y Jeon; C K Kim; J-H Kim; G H Im; B K Park; J H Lee
Journal:  Br J Radiol       Date:  2015-07-02       Impact factor: 3.039

Review 3.  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

4.  Prognostic implications of mucinous histology in stage III colon cancer with the receipt of adjuvant chemotherapy.

Authors:  Feng Yu; Luqiao Huang; Feng Shen; Shuang Wu; Jian Chen
Journal:  J Gastrointest Oncol       Date:  2020-10

5.  Dynamic contrast-enhanced and diffusion-weighted MR imaging in early prediction of pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer.

Authors:  Hai-Liang Li; Jin-Rong Qu; Jing Li; Liang-Liang Yan; Hong-Kai Zhang; Yi Wang; Shu-Ning Xu
Journal:  Abdom Radiol (NY)       Date:  2022-08-02

6.  Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

Authors:  Liming Shi; Yang Zhang; Ke Nie; Xiaonan Sun; Tianye Niu; Ning Yue; Tiffany Kwong; Peter Chang; Daniel Chow; Jeon-Hor Chen; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2019-05-03       Impact factor: 2.546

Review 7.  Advances in the care of patients with mucinous colorectal cancer.

Authors:  Niek Hugen; Gina Brown; Robert Glynne-Jones; Johannes H W de Wilt; Iris D Nagtegaal
Journal:  Nat Rev Clin Oncol       Date:  2015-09-01       Impact factor: 66.675

8.  Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters.

Authors:  Andreas M Hötker; Lisa Tarlinton; Yousef Mazaheri; Kaitlin M Woo; Mithat Gönen; Leonard B Saltz; Karyn A Goodman; Julio Garcia-Aguilar; Marc J Gollub
Journal:  Eur Radiol       Date:  2016-03-05       Impact factor: 5.315

9.  Gadolinium-Based Contrast Agent During Pelvic MRI: Contribution to Patient Management in Rectal Cancer.

Authors:  Marina J Corines; Stephanie Nougaret; Martin R Weiser; Monika Khan; Marc J Gollub
Journal:  Dis Colon Rectum       Date:  2018-02       Impact factor: 4.585

10.  Prediction of chemotherapeutic response in bladder cancer using K-means clustering of dynamic contrast-enhanced (DCE)-MRI pharmacokinetic parameters.

Authors:  Huyen T Nguyen; Guang Jia; Zarine K Shah; Kamal Pohar; Amir Mortazavi; Debra L Zynger; Lai Wei; Xiangyu Yang; Daniel Clark; Michael V Knopp
Journal:  J Magn Reson Imaging       Date:  2014-06-19       Impact factor: 4.813

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