Ma YQ - Search Results

1

CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD.

Zhou TH, Zhou XX, Ni J, Ma YQ, Xu FY, Fan B, Guan Y, Jiang XA, Lin XQ, Li J, Xia Y, Wang X, Wang Y, Huang WJ, Tu WT, Dong P, Li ZB, Liu SY, Fan L. Zhou TH, et al. Among authors: ma yq. Mil Med Res. 2024 Feb 20;11(1):14. doi: 10.1186/s40779-024-00516-9. Mil Med Res. 2024. PMID: 38374260 Free PMC article.

2

The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma.

Ma Y, Li J, Xu X, Zhang Y, Lin Y. Ma Y, et al. BMC Cancer. 2022 Sep 3;22(1):949. doi: 10.1186/s12885-022-10036-1. BMC Cancer. 2022. PMID: 36057553 Free PMC article.

3

A novel computed tomography radiomic nomogram for early evaluation of small airway dysfunction development.

Cui S, Shu Z, Ma Y, Lin Y, Wang H, Cao H, Liu J, Gong X. Cui S, et al. Front Med (Lausanne). 2022 Sep 13;9:944294. doi: 10.3389/fmed.2022.944294. eCollection 2022. Front Med (Lausanne). 2022. PMID: 36177331 Free PMC article.

4

CT-Based Radiomic Nomogram for the Prediction of Chronic Obstructive Pulmonary Disease in Patients with Lung cancer.

Zhou T, Tu W, Dong P, Duan S, Zhou X, Ma Y, Wang Y, Liu T, Zhang H, Feng Y, Huang W, Ge Y, Liu S, Li Z, Fan L. Zhou T, et al. Acad Radiol. 2023 Dec;30(12):2894-2903. doi: 10.1016/j.acra.2023.03.021. Epub 2023 Apr 14. Acad Radiol. 2023. PMID: 37062629 Free article.

5

Nomograms Using CT Morphological Features and Clinical Characteristics to Identify COPD in Patients with Lung Cancer: A Multicenter Study.

Tu W, Zhou T, Zhou X, Ma Y, Duan S, Wang Y, Wang X, Liu T, Zhang H, Feng Y, Huang W, Jiang X, Xiao Y, Liu S, Fan L. Tu W, et al. Int J Chron Obstruct Pulmon Dis. 2023 Jun 12;18:1169-1185. doi: 10.2147/COPD.S405429. eCollection 2023. Int J Chron Obstruct Pulmon Dis. 2023. PMID: 37332841 Free PMC article.

6

Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed Tomography.

Huang W, Zhang H, Ge Y, Duan S, Ma Y, Wang X, Zhou X, Zhou T, Tu W, Wang Y, Liu S, Dong P, Fan L. Huang W, et al. J Thorac Imaging. 2023 Sep 1;38(5):304-314. doi: 10.1097/RTI.0000000000000725. Epub 2023 Jul 10. J Thorac Imaging. 2023. PMID: 37423615

7

An integrative clinical and CT-based tumoral/peritumoral radiomics nomogram to predict the microsatellite instability in rectal carcinoma.

Ma Y, Xu X, Lin Y, Li J, Yuan H. Ma Y, et al. Abdom Radiol (NY). 2024 Mar;49(3):783-790. doi: 10.1007/s00261-023-04099-2. Epub 2023 Nov 24. Abdom Radiol (NY). 2024. PMID: 38001326

8

Multi-instance learning based lung nodule system for assessment of CT quality after small-field-of-view reconstruction.

Ma Y, Cao H, Li J, Lin M, Gong X, Lin Y. Ma Y, et al. Sci Rep. 2024 Feb 7;14(1):3109. doi: 10.1038/s41598-024-53797-4. Sci Rep. 2024. PMID: 38326410 Free PMC article.

9

Progress of MRI in predicting the circumferential resection margin of rectal cancer: A narrative review.

Ma Y, Ma D, Xu X, Li J, Guan Z. Ma Y, et al. Asian J Surg. 2024 May;47(5):2122-2131. doi: 10.1016/j.asjsur.2024.01.131. Epub 2024 Feb 8. Asian J Surg. 2024. PMID: 38331609 Free article. Review.

10

Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma.

Wang Y, Lyu D, Hu S, Ma Y, Duan S, Geng Y, Zhou T, Tu W, Xiao Y, Fan L, Liu S. Wang Y, et al. J Cardiothorac Surg. 2024 May 31;19(1):307. doi: 10.1186/s13019-024-02807-7. J Cardiothorac Surg. 2024. PMID: 38822379 Free PMC article.

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