Zhang L - Search Results

1

Assessing the Feasibility of Simplifying the Scanning Protocol for Spinal Metastases With Vertebral Compression Fractures Using Only the Dixon T2-Weighted Sequence.

Jiang J, Miao L, Zhang L, Shi Z, Zhang H, Wen X, Hu S, Xu L, Gong L, Li M. Jiang J, et al. Among authors: zhang l, zhang h. J Comput Assist Tomogr. 2024 Sep-Oct 01;48(5):826-835. doi: 10.1097/RCT.0000000000001612. Epub 2024 Apr 10. J Comput Assist Tomogr. 2024. PMID: 38595136

2

The Value of Deep Learning Image Reconstruction in Improving the Quality of Low-Dose Chest CT Images.

Jiang JM, Miao L, Liang X, Liu ZH, Zhang L, Li M. Jiang JM, et al. Among authors: zhang l. Diagnostics (Basel). 2022 Oct 21;12(10):2560. doi: 10.3390/diagnostics12102560. Diagnostics (Basel). 2022. PMID: 36292249 Free PMC article.

3

Observational Study of the Natural Growth History of Peripheral Small-Cell Lung Cancer on CT Imaging.

Jiang X, Liu MW, Zhang X, Dong JY, Miao L, Sun ZH, Dong SS, Zhang L, Yang L, Li M. Jiang X, et al. Among authors: zhang l, zhang x. Diagnostics (Basel). 2023 Aug 1;13(15):2560. doi: 10.3390/diagnostics13152560. Diagnostics (Basel). 2023. PMID: 37568923 Free PMC article.

4

Diagnostic error and bias in the department of radiology: a pictorial essay.

Zhang L, Wen X, Li JW, Jiang X, Yang XF, Li M. Zhang L, et al. Insights Imaging. 2023 Oct 2;14(1):163. doi: 10.1186/s13244-023-01521-7. Insights Imaging. 2023. PMID: 37782396 Free PMC article. Review.

5

Evaluation of Prognosis in Patients with Lung Adenocarcinoma with Atypical Solid Nodules on Thin-Section CT Images.

Liu M, Yang L, Sun X, Liang X, Li C, Feng Q, Li M, Zhang L. Liu M, et al. Among authors: zhang l. Radiol Cardiothorac Imaging. 2024 Feb;6(1):e220234. doi: 10.1148/ryct.220234. Radiol Cardiothorac Imaging. 2024. PMID: 38206165 Free PMC article.

6

Dual-energy CT-based radiomics in predicting EGFR mutation status non-invasively in lung adenocarcinoma.

Ma JW, Jiang X, Wang YM, Jiang JM, Miao L, Qi LL, Zhang JX, Wen X, Li JW, Li M, Zhang L. Ma JW, et al. Among authors: zhang l, zhang jx. Heliyon. 2024 Jan 12;10(2):e24372. doi: 10.1016/j.heliyon.2024.e24372. eCollection 2024 Jan 30. Heliyon. 2024. PMID: 38304841 Free PMC article.

7

Case report: A 17-year-old male with primary pulmonary osteosarcoma.

Wen X, Xue L, Jiang X, Jiang J, Li M, Zhang L. Wen X, et al. Among authors: zhang l. Front Med (Lausanne). 2024 Mar 21;11:1364937. doi: 10.3389/fmed.2024.1364937. eCollection 2024. Front Med (Lausanne). 2024. PMID: 38576713 Free PMC article.

8

A comparison of machine learning methods for radiomics modeling in prediction of occult lymph node metastasis in clinical stage IA lung adenocarcinoma patients.

Liu MW, Zhang X, Wang YM, Jiang X, Jiang JM, Li M, Zhang L. Liu MW, et al. Among authors: zhang l, zhang x. J Thorac Dis. 2024 Mar 29;16(3):1765-1776. doi: 10.21037/jtd-23-1578. Epub 2024 Mar 27. J Thorac Dis. 2024. PMID: 38617761 Free PMC article.

9

Number of involved nodal stations: a better lymph node classification for clinical stage IA lung adenocarcinoma.

Liu M, Miao L, Zheng R, Zhao L, Liang X, Yin S, Li J, Li C, Li M, Zhang L. Liu M, et al. Among authors: zhang l. J Natl Cancer Cent. 2023 Jul 6;3(3):197-202. doi: 10.1016/j.jncc.2023.07.001. eCollection 2023 Sep. J Natl Cancer Cent. 2023. PMID: 39035194 Free PMC article.

10

Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study.

Zhang L, Li H, Zhao S, Tao X, Li M, Yang S, Zhou L, Liu M, Zhang X, Dong D, Tian J, Wu N. Zhang L, et al. Among authors: zhang x. J Natl Cancer Cent. 2024 Feb 1;4(3):233-240. doi: 10.1016/j.jncc.2024.01.005. eCollection 2024 Sep. J Natl Cancer Cent. 2024. PMID: 39281718 Free PMC article.

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