Xu X - Search Results

1

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. Among authors: xu x. BMC Cancer. 2022 Sep 3;22(1):949. doi: 10.1186/s12885-022-10036-1. BMC Cancer. 2022. PMID: 36057553 Free PMC article.

2

Can whole-tumor radiomics-based CT analysis better differentiate fat-poor angiomyolipoma from clear cell renal cell caricinoma: compared with conventional CT analysis?

Ma Y, Cao F, Xu X, Ma W. Ma Y, et al. Among authors: xu x. Abdom Radiol (NY). 2020 Aug;45(8):2500-2507. doi: 10.1007/s00261-020-02414-9. Abdom Radiol (NY). 2020. PMID: 31980867

3

How Does the Delta-Radiomics Better Differentiate Pre-Invasive GGNs From Invasive GGNs?

Ma Y, Ma W, Xu X, Cao F. Ma Y, et al. Among authors: xu x. Front Oncol. 2020 Jul 16;10:1017. doi: 10.3389/fonc.2020.01017. eCollection 2020. Front Oncol. 2020. PMID: 32766129 Free PMC article.

4

A CT-Based Tumoral and Mini-Peritumoral Radiomics Approach: Differentiate Fat-Poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma.

Ma Y, Xu X, Pang P, Wen Y. Ma Y, et al. Among authors: xu x. Cancer Manag Res. 2021 Feb 12;13:1417-1425. doi: 10.2147/CMAR.S297094. eCollection 2021. Cancer Manag Res. 2021. PMID: 33603485 Free PMC article.

5

A convention-radiomics CT nomogram for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma.

Ma Y, Ma W, Xu X, Guan Z, Pang P. Ma Y, et al. Among authors: xu x. Sci Rep. 2021 Feb 25;11(1):4644. doi: 10.1038/s41598-021-84244-3. Sci Rep. 2021. PMID: 33633296 Free PMC article.

6

A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma.

Yuan H, Peng Y, Xu X, Tu S, Wei Y, Ma Y. Yuan H, et al. Among authors: xu x. Cancer Manag Res. 2022 Aug 9;14:2409-2418. doi: 10.2147/CMAR.S377138. eCollection 2022. Cancer Manag Res. 2022. PMID: 35971393 Free PMC article.

7

The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma.

Yuan H, Xu X, Tu S, Chen B, Wei Y, Ma Y. Yuan H, et al. Among authors: xu x. BMC Gastroenterol. 2022 Nov 16;22(1):463. doi: 10.1186/s12876-022-02525-1. BMC Gastroenterol. 2022. PMID: 36384504 Free PMC article.

8

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. Among authors: xu x. 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

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. Among authors: xu x. 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

Nontarget analysis of natural flavor metabolites in tobacco extracts.

Xu XJ, Wang JW, Wang M, Liu S, Ren M, Yang CQ, Wang RQ. Xu XJ, et al. J Chromatogr A. 2024 Nov 24;1740:465554. doi: 10.1016/j.chroma.2024.465554. Online ahead of print. J Chromatogr A. 2024. PMID: 39622105

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