Hou D - Search Results

1

Utility of Machine Learning and Radiomics Based on Cavity for Predicting the Therapeutic Response of MDR-TB.

Lv X, Li Y, Cai B, He W, Wang R, Chen M, Pan J, Hou D. Lv X, et al. Among authors: hou d. Infect Drug Resist. 2023 Oct 28;16:6893-6904. doi: 10.2147/IDR.S435984. eCollection 2023. Infect Drug Resist. 2023. PMID: 37920476 Free PMC article.

2

Machine learning and radiomics for the prediction of multidrug resistance in cavitary pulmonary tuberculosis: a multicentre study.

Li Y, Wang B, Wen L, Li H, He F, Wu J, Gao S, Hou D. Li Y, et al. Among authors: hou d. Eur Radiol. 2023 Jan;33(1):391-400. doi: 10.1007/s00330-022-08997-9. Epub 2022 Jul 19. Eur Radiol. 2023. PMID: 35852573 Free PMC article.

3

Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis.

Li Y, Lv X, Wang B, Xu Z, Wang Y, Gao S, Hou D. Li Y, et al. Among authors: hou d. Eur J Radiol. 2022 Oct;155:110499. doi: 10.1016/j.ejrad.2022.110499. Epub 2022 Aug 27. Eur J Radiol. 2022. PMID: 36049410

4

Differentiating malignant pleural mesothelioma and metastatic pleural disease based on a machine learning model with primary CT signs: A multicentre study.

Li Y, Cai B, Wang B, Lv Y, He W, Xie X, Hou D. Li Y, et al. Among authors: hou d. Heliyon. 2022 Nov 4;8(11):e11383. doi: 10.1016/j.heliyon.2022.e11383. eCollection 2022 Nov. Heliyon. 2022. PMID: 36387542 Free PMC article.

5

Predicting EGFR T790M Mutation in Brain Metastases Using Multisequence MRI-Based Radiomics Signature.

Li Y, Lv X, Wang B, Xu Z, Wang Y, Sun M, Hou D. Li Y, et al. Among authors: hou d. Acad Radiol. 2023 Sep;30(9):1887-1895. doi: 10.1016/j.acra.2022.12.030. Epub 2022 Dec 30. Acad Radiol. 2023. PMID: 36586758

6

Radiomics analysis of lung CT for multidrug resistance prediction in active tuberculosis: a multicentre study.

Li Y, Xu Z, Lv X, Li C, He W, Lv Y, Hou D. Li Y, et al. Among authors: hou d. Eur Radiol. 2023 Sep;33(9):6308-6317. doi: 10.1007/s00330-023-09589-x. Epub 2023 Apr 1. Eur Radiol. 2023. PMID: 37004571 Free PMC article.

7

Neural network-based model for evaluating inert nodules and volume doubling time in T1 lung adenocarcinoma: a nested case-control study.

Wang B, Zhang H, Li W, Fu S, Li Y, Gao X, Wang D, Yang X, Xu S, Wang J, Hou D. Wang B, et al. Among authors: hou d. Front Oncol. 2023 May 24;13:1037052. doi: 10.3389/fonc.2023.1037052. eCollection 2023. Front Oncol. 2023. PMID: 37293594 Free PMC article.

8

Multisequence MRI-based radiomics nomogram for early prediction of osimertinib resistance in patients with non-small cell lung cancer brain metastases.

Lv X, Li Y, Xu X, Zheng Z, Li F, Fang K, Wang Y, Wang B, Hou D. Lv X, et al. Among authors: hou d. Eur J Radiol Open. 2023 Sep 4;11:100521. doi: 10.1016/j.ejro.2023.100521. eCollection 2023 Dec. Eur J Radiol Open. 2023. PMID: 37692549 Free PMC article.

9

CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy.

Li Y, Lv X, Wang Y, Xu Z, Lv Y, Hou D. Li Y, et al. Among authors: hou d. Eur Radiol Exp. 2023 Nov 2;7(1):64. doi: 10.1186/s41747-023-00380-7. Eur Radiol Exp. 2023. PMID: 37914925 Free PMC article.

10

Multisequence MRI-based radiomics analysis for early prediction of the risk of T790M resistance in new brain metastases.

Lv X, Li Y, Wang B, Wang Y, Pan Y, Li C, Hou D. Lv X, et al. Among authors: hou d. Quant Imaging Med Surg. 2023 Dec 1;13(12):8599-8610. doi: 10.21037/qims-23-822. Epub 2023 Oct 20. Quant Imaging Med Surg. 2023. PMID: 38106277 Free PMC article.

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