Liu Y - Search Results

1

Integration of dosimetric parameters, clinical factors, and radiomics to predict symptomatic radiation pneumonitis in lung cancer patients undergoing combined immunotherapy and radiotherapy.

Nie T, Chen Z, Cai J, Ai S, Xue X, Yuan M, Li C, Shi L, Liu Y, Verma V, Bi J, Han G, Yuan Z. Nie T, et al. Among authors: liu y. Radiother Oncol. 2024 Jan;190:110047. doi: 10.1016/j.radonc.2023.110047. Epub 2023 Dec 7. Radiother Oncol. 2024. PMID: 38070685

2

Zheng F, Liu Y, Yuan Z, Gao X, He Y, Liu X, Cui D, Qi R, Chen T, Qiu J. Zheng F, et al. Among authors: liu y, liu x. J Magn Reson Imaging. 2019 Jan;49(1):152-163. doi: 10.1002/jmri.26037. Epub 2018 Apr 20. J Magn Reson Imaging. 2019. PMID: 29676856

3

Impact of different b-value combinations on radiomics features of apparent diffusion coefficient in cervical cancer.

He Y, Rong Y, Chen H, Zhang Z, Qiu J, Zheng L, Benedict S, Niu X, Pan N, Liu Y, Yuan Z. He Y, et al. Among authors: liu y. Acta Radiol. 2020 Apr;61(4):568-576. doi: 10.1177/0284185119870157. Epub 2019 Aug 29. Acta Radiol. 2020. PMID: 31466457 No abstract available.

4

Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer.

Guo XF, Yang WQ, Yang Q, Yuan ZL, Liu YL, Niu XH, Xu HB. Guo XF, et al. Curr Med Sci. 2020 Dec;40(6):1156-1160. doi: 10.1007/s11596-020-2298-6. Epub 2021 Jan 11. Curr Med Sci. 2020. PMID: 33428144

5

A Combined-Radiomics Approach of CT Images to Predict Response to Anti-PD-1 Immunotherapy in NSCLC: A Retrospective Multicenter Study.

Wu M, Zhang Y, Zhang J, Zhang Y, Wang Y, Chen F, Luo Y, He S, Liu Y, Yang Q, Li Y, Wei H, Zhang H, Lu N, Wang S, Guo Y, Ye Z, Liu Y. Wu M, et al. Among authors: liu y. Front Oncol. 2022 Jan 10;11:688679. doi: 10.3389/fonc.2021.688679. eCollection 2021. Front Oncol. 2022. PMID: 35083133 Free PMC article.

6

Impact of Parallel Acquisition Technology on the Robustness of Magnetic Resonance Imaging Radiomic Features.

Hu K, Deng W, Li N, Cai Q, Yuan Z, Li L, Liu Y. Hu K, et al. Among authors: liu y. J Comput Assist Tomogr. 2022 Nov-Dec 01;46(6):906-913. doi: 10.1097/RCT.0000000000001344. Epub 2022 Jun 18. J Comput Assist Tomogr. 2022. PMID: 35675690

7

Optimization of scan parameters to reduce acquisition time for RESOLVE-based diffusion kurtosis imaging (DKI) in nasopharyngeal carcinoma (NPC).

He Y, Chen H, Zhang H, Grimm R, Zhao C, Guo X, Liu Y, Yuan Z. He Y, et al. Among authors: liu y. Br J Radiol. 2022 Aug 1;95(1136):20210641. doi: 10.1259/bjr.20210641. Epub 2022 Jun 22. Br J Radiol. 2022. PMID: 35704453 Free PMC article.

8

A radiomics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancer.

Nie T, Liu D, Ai S, He Y, Yang M, Chen J, Yuan Z, Liu Y. Nie T, et al. Among authors: liu y, liu d. Jpn J Radiol. 2023 Apr;41(4):401-408. doi: 10.1007/s11604-022-01360-4. Epub 2022 Nov 12. Jpn J Radiol. 2023. PMID: 36370327

9

Comparison of selected photon shield and organ-based tube current modulation for radiation dose reduction in head computed tomography: A phantom study.

Yuan Z, Liu T, Zhang B, Wu J, He Y, Chen T, Zhang Z, Li C, Liu Y. Yuan Z, et al. Among authors: liu y, liu t. J Xray Sci Technol. 2023;31(4):745-756. doi: 10.3233/XST-230018. J Xray Sci Technol. 2023. PMID: 37092211

10

Preoperative prediction of perineural invasion and lymphovascular invasion with CT radiomics in gastric cancer.

He Y, Yang M, Hou R, Ai S, Nie T, Chen J, Hu H, Guo X, Liu Y, Yuan Z. He Y, et al. Among authors: liu y. Eur J Radiol Open. 2024 Jan 25;12:100550. doi: 10.1016/j.ejro.2024.100550. eCollection 2024 Jun. Eur J Radiol Open. 2024. PMID: 38314183 Free PMC article.

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