Sun X - Search Results

1

Joint use of the radiomics method and frozen sections should be considered in the prediction of the final classification of peripheral lung adenocarcinoma manifesting as ground-glass nodules.

Wang B, Tang Y, Chen Y, Hamal P, Zhu Y, Wang T, Sun Y, Lu Y, Bhuva MS, Meng X, Yang Y, Ai Z, Wu C, Sun X. Wang B, et al. Among authors: sun y, sun x. Lung Cancer. 2020 Jan;139:103-110. doi: 10.1016/j.lungcan.2019.10.031. Epub 2019 Nov 15. Lung Cancer. 2020. PMID: 31760351 Clinical Trial.

2

Detection of rib metastases in patients with lung cancer: a comparative study of MRI, CT and bone scintigraphy.

Chen YQ, Yang Y, Xing YF, Jiang S, Sun XW. Chen YQ, et al. PLoS One. 2012;7(12):e52213. doi: 10.1371/journal.pone.0052213. Epub 2012 Dec 27. PLoS One. 2012. PMID: 23300617 Free PMC article.

3

Analysis of pre-invasive lung adenocarcinoma lesions on thin-section computerized tomography.

Xing Y, Li Z, Jiang S, Xiang W, Sun X. Xing Y, et al. Among authors: sun x. Clin Respir J. 2015 Jul;9(3):289-96. doi: 10.1111/crj.12142. Epub 2014 May 21. Clin Respir J. 2015. PMID: 24720643

4

Diagnosis of the invasiveness of lung adenocarcinoma manifesting as ground glass opacities on high-resolution computed tomography.

Mao H, Labh K, Han F, Jiang S, Yang Y, Sun X. Mao H, et al. Among authors: sun x. Thorac Cancer. 2016 Jan;7(1):129-35. doi: 10.1111/1759-7714.12269. Epub 2015 Apr 27. Thorac Cancer. 2016. PMID: 26816547 Free PMC article.

5

Improved image quality and diagnostic potential using ultra-high-resolution computed tomography of the lung with small scan FOV: A prospective study.

Zhu H, Zhang L, Wang Y, Hamal P, You X, Mao H, Li F, Sun X. Zhu H, et al. Among authors: sun x. PLoS One. 2017 Feb 23;12(2):e0172688. doi: 10.1371/journal.pone.0172688. eCollection 2017. PLoS One. 2017. PMID: 28231320 Free PMC article.

6

Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules.

Gong J, Liu JY, Sun XW, Zheng B, Nie SD. Gong J, et al. Phys Med Biol. 2018 Feb 5;63(3):035036. doi: 10.1088/1361-6560/aaa610. Phys Med Biol. 2018. PMID: 29311420

7

A Texture Analysis-Based Prediction Model for Lymph Node Metastasis in Stage IA Lung Adenocarcinoma.

Gu Y, She Y, Xie D, Dai C, Ren Y, Fan Z, Zhu H, Sun X, Xie H, Jiang G, Chen C. Gu Y, et al. Among authors: sun x. Ann Thorac Surg. 2018 Jul;106(1):214-220. doi: 10.1016/j.athoracsur.2018.02.026. Epub 2018 Mar 14. Ann Thorac Surg. 2018. PMID: 29550204

8

The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.

She Y, Zhang L, Zhu H, Dai C, Xie D, Xie H, Zhang W, Zhao L, Zou L, Fei K, Sun X, Chen C. She Y, et al. Among authors: sun x. Eur Radiol. 2018 Dec;28(12):5121-5128. doi: 10.1007/s00330-018-5509-9. Epub 2018 Jun 4. Eur Radiol. 2018. PMID: 29869172

9

Prediction of EGFR mutations by conventional CT-features in advanced pulmonary adenocarcinoma.

Chen Y, Yang Y, Ma L, Zhu H, Feng T, Jiang S, Wei Y, Wang T, Sun X. Chen Y, et al. Among authors: sun x. Eur J Radiol. 2019 Mar;112:44-51. doi: 10.1016/j.ejrad.2019.01.005. Epub 2019 Jan 7. Eur J Radiol. 2019. PMID: 30777218

10

CT-based radiomics signature for the stratification of N2 disease risk in clinical stage I lung adenocarcinoma.

Yang M, She Y, Deng J, Wang T, Ren Y, Su H, Wu J, Sun X, Jiang G, Fei K, Zhang L, Xie D, Chen C. Yang M, et al. Among authors: sun x. Transl Lung Cancer Res. 2019 Dec;8(6):876-885. doi: 10.21037/tlcr.2019.11.18. Transl Lung Cancer Res. 2019. PMID: 32010566 Free PMC article.

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