Ren J - Search Results

1

Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma.

Qi M, Xia Z, Zhang F, Sha Y, Ren J. Qi M, et al. Among authors: ren j. Dentomaxillofac Radiol. 2023 Sep;52(6):20220301. doi: 10.1259/dmfr.20220301. Epub 2023 Feb 17. Dentomaxillofac Radiol. 2023. PMID: 36799877 Free PMC article.

2

Incremental Prognostic Value of Apparent Diffusion Coefficient Histogram Analysis in Head and Neck Squamous Cell Carcinoma.

Li X, Yuan Y, Ren J, Shi Y, Tao X. Li X, et al. Among authors: ren j. Acad Radiol. 2018 Nov;25(11):1433-1438. doi: 10.1016/j.acra.2018.02.017. Epub 2018 Mar 26. Acad Radiol. 2018. PMID: 29599009

3

Histogram analysis of apparent diffusion coefficient maps in the prognosis of patients with locally advanced head and neck squamous cell carcinoma: Comparison of different region of interest selection methods.

Ren JL, Yuan Y, Li XX, Shi YQ, Tao XF. Ren JL, et al. Eur J Radiol. 2018 Sep;106:7-13. doi: 10.1016/j.ejrad.2018.07.004. Epub 2018 Jul 5. Eur J Radiol. 2018. PMID: 30150054

4

Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.

Wang H, Song B, Ye N, Ren J, Sun X, Dai Z, Zhang Y, Chen BT. Wang H, et al. Among authors: ren j. Eur J Radiol. 2020 Jan;122:108755. doi: 10.1016/j.ejrad.2019.108755. Epub 2019 Nov 20. Eur J Radiol. 2020. PMID: 31783344

5

Radiomics of apparent diffusion coefficient maps to predict histologic grade in squamous cell carcinoma of the oral tongue and floor of mouth: a preliminary study.

Ren J, Qi M, Yuan Y, Tao X. Ren J, et al. Acta Radiol. 2021 Apr;62(4):453-461. doi: 10.1177/0284185120931683. Epub 2020 Jun 14. Acta Radiol. 2021. PMID: 32536260

6

Machine learning-based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation.

Ren J, Yuan Y, Qi M, Tao X. Ren J, et al. Eur Radiol. 2020 Dec;30(12):6858-6866. doi: 10.1007/s00330-020-07011-4. Epub 2020 Jun 26. Eur Radiol. 2020. PMID: 32591885

7

Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma.

Ren J, Qi M, Yuan Y, Duan S, Tao X. Ren J, et al. AJR Am J Roentgenol. 2020 Nov;215(5):1184-1190. doi: 10.2214/AJR.19.22593. Epub 2020 Sep 15. AJR Am J Roentgenol. 2020. PMID: 32930606

8

Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma.

Ren J, Yuan Y, Tao X. Ren J, et al. Eur Radiol. 2022 Apr;32(4):2739-2747. doi: 10.1007/s00330-021-08310-0. Epub 2021 Oct 12. Eur Radiol. 2022. PMID: 34642806

9

Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid tumors.

Xiang S, Ren J, Xia Z, Yuan Y, Tao X. Xiang S, et al. Among authors: ren j. BMC Med Imaging. 2021 Dec 17;21(1):194. doi: 10.1186/s12880-021-00724-y. BMC Med Imaging. 2021. PMID: 34920706 Free PMC article.

10

MRI-based radiomics nomogram for distinguishing solitary fibrous tumor from schwannoma in the orbit: a two-center study.

Ren J, Yuan Y, Qi M, Tao X. Ren J, et al. Eur Radiol. 2024 Jan;34(1):560-568. doi: 10.1007/s00330-023-10031-5. Epub 2023 Aug 3. Eur Radiol. 2024. PMID: 37532903 Clinical Trial.

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