A novel approach to monitoring the efficacy of anti-tumor treatments in animal models: combining functional MRI and texture analysis-Reference-Cited by-同舟云学术

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A novel approach to monitoring the efficacy of anti-tumor treatments in animal models: combining functional MRI and texture analysis

Published:2018-08-20 Issue:1 Volume:18 Page:
ISSN:1471-2407
Container-title:BMC Cancer
language:en
Short-container-title:BMC Cancer

Author:

Meng Ming,Xue Huadan,Lei Jing,Wang Qin,Liu Jingjuan,Li Yuan,Sun Ting,Xu Haiyan,Jin Zhengyu

Funder

the National Key Technology Support Program of China

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

Link

http://link.springer.com/content/pdf/10.1186/s12885-018-4684-z.pdf

Reference35 articles.

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2. Shin HJ, et al. Prediction of low-risk breast cancer using perfusion parameters and apparent diffusion coefficient. Magn Reson Imaging. 2016;34:67–74.

3. Brix G, Griebel J, Kiessling F, Wenz F. Tracer kinetic modelling of tumour angiogenesis based on dynamic contrast-enhanced CT and MRI measurements. Eur J Nucl Med Mol Imaging. 2010;37(Suppl 1):S30–51.

4. Koo HR, et al. Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers. J Magn Reson Imaging. 2012;36:145–51.

5. Anderson AW, et al. Effects of cell volume fraction changes on apparent diffusion in human cells. Magn Reson Imaging. 2000;18:689–95.

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