Zhang S - Search Results

1

Validation of novel grading schemes and refinement of the Leibovich risk groups for chromophobe renal cell carcinoma.

Lin H, Wang C, Zhao Y, Wang R, Xi W, Xiong Y, Xiao L, Liu Y, Zhang S, Dai C. Lin H, et al. Among authors: zhang s. World J Urol. 2024 Dec 23;43(1):45. doi: 10.1007/s00345-024-05394-3. World J Urol. 2024. PMID: 39714606

2

Development of a CT-assessed adiposity nomogram for predicting outcome in localized ccRCC.

Li X, Zhang S, Huang X, Lin D, Zhou J. Li X, et al. Among authors: zhang s. Abdom Radiol (NY). 2024 Oct;49(10):3485-3495. doi: 10.1007/s00261-024-04403-8. Epub 2024 Jun 6. Abdom Radiol (NY). 2024. PMID: 38842727

3

Predictive value of modified MRI-based split scar sign (mrSSS) score for pathological complete response after neoadjuvant chemoradiotherapy for patients with rectal cancer.

Yuan Y, Zheng K, Zhou L, Chen F, Zhang S, Lu H, Lu J, Shao C, Meng R, Zhang W, Gao X, Shen F. Yuan Y, et al. Among authors: zhang s, zhang w. Int J Colorectal Dis. 2023 Feb 15;38(1):40. doi: 10.1007/s00384-023-04330-y. Int J Colorectal Dis. 2023. PMID: 36790595

4

The feasibility of MRI-based radiomics model in presurgical evaluation of tumor budding in locally advanced rectal cancer.

Li Z, Chen F, Zhang S, Ma X, Xia Y, Shen F, Lu Y, Shao C. Li Z, et al. Among authors: zhang s. Abdom Radiol (NY). 2022 Jan;47(1):56-65. doi: 10.1007/s00261-021-03311-5. Epub 2021 Oct 21. Abdom Radiol (NY). 2022. PMID: 34673995

5

Predicting disease-free survival in locally advanced rectal cancer using a prognostic model based on pretreatment b-value threshold map and postoperative pathologic features.

Chen F, Zhang S, Fu C, Grimm R, Lu J, Shao C, Shen F, Chen L. Chen F, et al. Among authors: zhang s. Jpn J Radiol. 2024 Oct 21. doi: 10.1007/s11604-024-01674-5. Online ahead of print. Jpn J Radiol. 2024. PMID: 39432017

6

Is rectal filling optimal for MRI-based radiomics in preoperative T staging of rectal cancer?

Yuan Y, Lu H, Ma X, Chen F, Zhang S, Xia Y, Wang M, Shao C, Lu J, Shen F. Yuan Y, et al. Among authors: zhang s. Abdom Radiol (NY). 2022 May;47(5):1741-1749. doi: 10.1007/s00261-022-03477-6. Epub 2022 Mar 10. Abdom Radiol (NY). 2022. PMID: 35267070

7

Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: A large-scale and multi-center study.

Luo X, Liao W, He Y, Tang F, Wu M, Shen Y, Huang H, Song T, Li K, Zhang S, Zhang S, Wang G. Luo X, et al. Among authors: zhang s. Radiother Oncol. 2023 Mar;180:109480. doi: 10.1016/j.radonc.2023.109480. Epub 2023 Jan 16. Radiother Oncol. 2023. PMID: 36657723

8

Prediction of tumor budding in patients with rectal adenocarcinoma using b-value threshold map.

Chen F, Zhang S, Ma X, Chen Y, Wang Z, Zhu Y, Bai C, Fu C, Grimm R, Shao C, Lu J, Shen F, Chen L. Chen F, et al. Among authors: zhang s. Eur Radiol. 2023 Feb;33(2):1353-1363. doi: 10.1007/s00330-022-09087-6. Epub 2022 Aug 23. Eur Radiol. 2023. PMID: 35997838

9

MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers.

Zhang S, Chen F, Ma X, Wang M, Yu G, Shen F, Gao X, Lu J. Zhang S, et al. BMC Med Imaging. 2021 Mar 17;21(1):50. doi: 10.1186/s12880-021-00583-7. BMC Med Imaging. 2021. PMID: 33731051 Free PMC article.

10

Which Definition of Upper Rectal Cancer Is Optimal in Selecting Stage II or III Rectal Cancer Patients to Avoid Postoperative Adjuvant Radiation?

Gao XH, Zhai BZ, Li J, Kabemba JLT, Gong HF, Bai CG, Liu ML, Zhang ST, Shen F, Liu LJ, Zhang W. Gao XH, et al. Front Oncol. 2021 Feb 12;10:625459. doi: 10.3389/fonc.2020.625459. eCollection 2020. Front Oncol. 2021. PMID: 33643920 Free PMC article.

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