Ma X - Search Results

1

The metabolic features of normal pancreas and pancreatic adenocarcinoma: preliminary result of in vivo proton magnetic resonance spectroscopy at 3.0 T.

Ma X, Zhao X, Ouyang H, Sun F, Zhang H, Zhou C, Shen H. Ma X, et al. J Comput Assist Tomogr. 2011 Sep-Oct;35(5):539-43. doi: 10.1097/RCT.0b013e318227a545. J Comput Assist Tomogr. 2011. PMID: 21926845

2

Quantified ADC histogram analysis: a new method for differentiating mass-forming focal pancreatitis from pancreatic cancer.

Ma X, Zhao X, Ouyang H, Sun F, Zhang H, Zhou C. Ma X, et al. Acta Radiol. 2014 Sep;55(7):785-92. doi: 10.1177/0284185113509264. Epub 2013 Oct 28. Acta Radiol. 2014. PMID: 24167322

3

[Predictive value of diffusion-weighted imaging histogram in evaluation of the response to radiofrequency ablation in hepatocellular carcinoma].

Ma X, Zhao X, Ouyang H, Wang S, Ye F, Wang M, Zhou C. Ma X, et al. Zhonghua Zhong Liu Za Zhi. 2014 Dec;36(12):905-9. Zhonghua Zhong Liu Za Zhi. 2014. PMID: 25623764 Chinese.

4

CT texture analysis can be a potential tool to differentiate gastrointestinal stromal tumors without KIT exon 11 mutation.

Xu F, Ma X, Wang Y, Tian Y, Tang W, Wang M, Wei R, Zhao X. Xu F, et al. Among authors: ma x. Eur J Radiol. 2018 Oct;107:90-97. doi: 10.1016/j.ejrad.2018.07.025. Epub 2018 Jul 29. Eur J Radiol. 2018. PMID: 30292279 Clinical Trial.

5

Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.

Liang M, Cai Z, Zhang H, Huang C, Meng Y, Zhao L, Li D, Ma X, Zhao X. Liang M, et al. Among authors: ma x. Acad Radiol. 2019 Nov;26(11):1495-1504. doi: 10.1016/j.acra.2018.12.019. Epub 2019 Jan 30. Acad Radiol. 2019. PMID: 30711405

6

Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.

Ma X, Wei J, Gu D, Zhu Y, Feng B, Liang M, Wang S, Zhao X, Tian J. Ma X, et al. Eur Radiol. 2019 Jul;29(7):3595-3605. doi: 10.1007/s00330-018-5985-y. Epub 2019 Feb 15. Eur Radiol. 2019. PMID: 30770969

7

Histogram analysis of apparent diffusion coefficient predicts response to radiofrequency ablation in hepatocellular carcinoma.

Ma X, Ouyang H, Wang S, Wang M, Zhou C, Zhao X. Ma X, et al. Chin J Cancer Res. 2019 Apr;31(2):366-374. doi: 10.21147/j.issn.1000-9604.2019.02.11. Chin J Cancer Res. 2019. PMID: 31156307 Free PMC article.

8

Model-based three-dimensional texture analysis of contrast-enhanced magnetic resonance imaging as a potential tool for preoperative prediction of microvascular invasion in hepatocellular carcinoma.

Zhu YJ, Feng B, Wang S, Wang LM, Wu JF, Ma XH, Zhao XM. Zhu YJ, et al. Oncol Lett. 2019 Jul;18(1):720-732. doi: 10.3892/ol.2019.10378. Epub 2019 May 20. Oncol Lett. 2019. PMID: 31289547 Free PMC article.

9

Development and in vitro study of a bi-specific magnetic resonance imaging molecular probe for hepatocellular carcinoma.

Ma XH, Wang S, Liu SY, Chen K, Wu ZY, Li DF, Mi YT, Hu LB, Chen ZW, Zhao XM. Ma XH, et al. World J Gastroenterol. 2019 Jun 28;25(24):3030-3043. doi: 10.3748/wjg.v25.i24.3030. World J Gastroenterol. 2019. PMID: 31293339 Free PMC article.

10

Prediction for early recurrence of intrahepatic mass-forming cholangiocarcinoma: quantitative magnetic resonance imaging combined with prognostic immunohistochemical markers.

Zhao L, Ma X, Liang M, Li D, Ma P, Wang S, Wu Z, Zhao X. Zhao L, et al. Among authors: ma p, ma x. Cancer Imaging. 2019 Jul 15;19(1):49. doi: 10.1186/s40644-019-0234-4. Cancer Imaging. 2019. PMID: 31307551 Free PMC article.

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