Jiang J - 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. 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

Clinical and imaging features of desmoid tumors of the extremities.

Shi Z, Zhao XM, Jiang JM, Li M, Xie LZ. Shi Z, et al. World J Clin Cases. 2021 Oct 16;9(29):8710-8717. doi: 10.12998/wjcc.v9.i29.8710. World J Clin Cases. 2021. PMID: 34734049 Free PMC article.

3

With 3 Types of Respiratory Acquisition: 3.0 T Respiratory Triggered Acquisition Can Obtain Higher Quality DWI Images of the Upper Abdomen.

Shi Z, Jiang J, Ouyang H, Xie L, Zhao X. Shi Z, et al. Among authors: jiang j. Contrast Media Mol Imaging. 2022 Jul 9;2022:9579145. doi: 10.1155/2022/9579145. eCollection 2022. Contrast Media Mol Imaging. 2022. PMID: 35854769 Free PMC article.

4

Efficacy evaluation of contrast-enhanced magnetic resonance imaging in differentiating glioma from metastatic tumor of the brain and exploration of its association with patients' neurological function.

Shi Z, Jiang J, Xie L, Zhao X. Shi Z, et al. Among authors: jiang j. Front Behav Neurosci. 2022 Sep 6;16:957795. doi: 10.3389/fnbeh.2022.957795. eCollection 2022. Front Behav Neurosci. 2022. PMID: 36147544 Free PMC article.

5

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. Diagnostics (Basel). 2022 Oct 21;12(10):2560. doi: 10.3390/diagnostics12102560. Diagnostics (Basel). 2022. PMID: 36292249 Free PMC article.

6

Predicting pathological complete response of neoadjuvant radiotherapy and targeted therapy for soft tissue sarcoma by whole-tumor texture analysis of multisequence MRI imaging.

Miao L, Cao Y, Zuo L, Zhang H, Guo C, Yang Z, Shi Z, Jiang J, Wang S, Li Y, Wang Y, Xie L, Li M, Lu N. Miao L, et al. Among authors: jiang j. Eur Radiol. 2023 Jun;33(6):3984-3994. doi: 10.1007/s00330-022-09362-6. Epub 2022 Dec 29. Eur Radiol. 2023. PMID: 36580095 Free PMC article.

7

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. 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.

8

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: jiang x, jiang j. 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.

9

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. 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.

10

Incidence rate of occult lymph node metastasis in clinical T_1-2N₀M₀ small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study : Original research.

Jiang X, Luo C, Peng X, Zhang J, Yang L, Liu LZ, Cui YF, Liu MW, Miao L, Jiang JM, Ren JL, Yang XT, Li M, Zhang L. Jiang X, et al. Among authors: jiang jm. Respir Res. 2024 May 29;25(1):226. doi: 10.1186/s12931-024-02852-9. Respir Res. 2024. PMID: 38811960 Free PMC article.

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