Cui E - Search Results

1

Can functional parameters from hepatobiliary phase of gadoxetate MRI predict clinical outcomes in patients with cirrhosis?

Sandrasegaran K, Cui E, Elkady R, Gasparis P, Borthakur G, Tann M, Liangpunsakul S. Sandrasegaran K, et al. Among authors: cui e. Eur Radiol. 2018 Oct;28(10):4215-4224. doi: 10.1007/s00330-018-5366-6. Epub 2018 Apr 12. Eur Radiol. 2018. PMID: 29651764

2

Development and validation of a predictor of insufficient enhancement during the hepatobiliary phase of Gd-EOB-DTPA-enhanced magnetic resonance imaging.

Cui E, Long W, Luo L, Hu M, Huang L, Chen X. Cui E, et al. Acta Radiol. 2017 Oct;58(10):1174-1181. doi: 10.1177/0284185116687170. Epub 2017 Jan 16. Acta Radiol. 2017. PMID: 28090793

3

Differentiating IgG4-related sclerosing cholangiopathy from cholangiocarcinoma using CT and MRI: experience from a tertiary referring center.

Swensson J, Tirkes T, Tann M, Cui E, Sandrasegaran K. Swensson J, et al. Among authors: cui e. Abdom Radiol (NY). 2019 Jun;44(6):2111-2115. doi: 10.1007/s00261-019-01944-1. Abdom Radiol (NY). 2019. PMID: 30783729 Free PMC article.

4

CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade.

Deng Y, Soule E, Samuel A, Shah S, Cui E, Asare-Sawiri M, Sundaram C, Lall C, Sandrasegaran K. Deng Y, et al. Among authors: cui e. Eur Radiol. 2019 Dec;29(12):6922-6929. doi: 10.1007/s00330-019-06260-2. Epub 2019 May 24. Eur Radiol. 2019. PMID: 31127316

5

Usefulness of CT texture analysis in differentiating benign and malignant renal tumours.

Deng Y, Soule E, Cui E, Samuel A, Shah S, Lall C, Sundaram C, Sandrasegaran K. Deng Y, et al. Among authors: cui e. Clin Radiol. 2020 Feb;75(2):108-115. doi: 10.1016/j.crad.2019.09.131. Epub 2019 Oct 24. Clin Radiol. 2020. PMID: 31668402

6

Association of pancreatic fat content with type II diabetes mellitus.

Nadarajah C, Fananapazir G, Cui E, Gichoya J, Thayalan N, Asare-Sawiri M, Menias CO, Sandrasegaran K. Nadarajah C, et al. Among authors: cui e. Clin Radiol. 2020 Jan;75(1):51-56. doi: 10.1016/j.crad.2019.05.027. Epub 2019 Nov 8. Clin Radiol. 2020. PMID: 31711639

7

Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.

Cui E, Li Z, Ma C, Li Q, Lei Y, Lan Y, Yu J, Zhou Z, Li R, Long W, Lin F. Cui E, et al. Eur Radiol. 2020 May;30(5):2912-2921. doi: 10.1007/s00330-019-06601-1. Epub 2020 Jan 30. Eur Radiol. 2020. PMID: 32002635

8

Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluation.

Cui E, Li Q, Wu J, Mei Y, Yu J, Long W, Li Z, Lan Y, Lin F. Cui E, et al. Abdom Radiol (NY). 2020 Nov;45(11):3681-3689. doi: 10.1007/s00261-020-02520-8. Abdom Radiol (NY). 2020. PMID: 32266505

9

A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.

Lin F, Ma C, Xu J, Lei Y, Li Q, Lan Y, Sun M, Long W, Cui E. Lin F, et al. Among authors: cui e. Eur J Radiol. 2020 Aug;129:109079. doi: 10.1016/j.ejrad.2020.109079. Epub 2020 May 20. Eur J Radiol. 2020. PMID: 32526669

10

Predicting the stages of liver fibrosis with multiphase CT radiomics based on volumetric features.

Cui E, Long W, Wu J, Li Q, Ma C, Lei Y, Lin F. Cui E, et al. Abdom Radiol (NY). 2021 Aug;46(8):3866-3876. doi: 10.1007/s00261-021-03051-6. Epub 2021 Mar 22. Abdom Radiol (NY). 2021. PMID: 33751193

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