Shi S - Search Results

1

Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.

Wu S, Zheng J, Li Y, Wu Z, Shi S, Huang M, Yu H, Dong W, Huang J, Lin T. Wu S, et al. Among authors: shi s. EBioMedicine. 2018 Aug;34:76-84. doi: 10.1016/j.ebiom.2018.07.029. Epub 2018 Aug 2. EBioMedicine. 2018. PMID: 30078735 Free PMC article.

2

A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.

Wu S, Zheng J, Li Y, Yu H, Shi S, Xie W, Liu H, Su Y, Huang J, Lin T. Wu S, et al. Among authors: shi s. Clin Cancer Res. 2017 Nov 15;23(22):6904-6911. doi: 10.1158/1078-0432.CCR-17-1510. Epub 2017 Sep 5. Clin Cancer Res. 2017. PMID: 28874414

3

Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer.

Li Y, Diao F, Shi S, Li K, Zhu W, Wu S, Lin T. Li Y, et al. Among authors: shi s. Chin J Cancer. 2018 Jan 26;37(1):3. doi: 10.1186/s40880-018-0269-0. Chin J Cancer. 2018. PMID: 29370848 Free PMC article.

4

Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure.

Zhu WS, Shi SY, Yang ZH, Song C, Shen J. Zhu WS, et al. World J Gastroenterol. 2020 Mar 21;26(11):1208-1220. doi: 10.3748/wjg.v26.i11.1208. World J Gastroenterol. 2020. PMID: 32231424 Free PMC article.

5

Tumor fibrosis correlates with the survival of patients with pancreatic adenocarcinoma and is predictable using clinicoradiological features.

Shi S, Luo Y, Wang M, Lin Z, Song M, Li Z, Peng Z, Feng ST. Shi S, et al. Eur Radiol. 2022 Sep;32(9):6314-6326. doi: 10.1007/s00330-022-08745-z. Epub 2022 Apr 14. Eur Radiol. 2022. PMID: 35420301

6

Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.

Shi S, Lin C, Zhou J, Wei L, Chen M, Zhang J, Cao K, Fan Y, Huang B, Luo Y, Feng ST. Shi S, et al. Int J Surg. 2024 May 1;110(5):2669-2678. doi: 10.1097/JS9.0000000000001213. Int J Surg. 2024. PMID: 38445459 Free PMC article.

7

Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adenocarcinoma.

Shi S, Liu R, Zhou J, Liu J, Lin H, Mo J, Zhang J, Diao X, Luo Y, Huang B, Feng ST. Shi S, et al. Int J Surg. 2024 Aug 22. doi: 10.1097/JS9.0000000000002059. Online ahead of print. Int J Surg. 2024. PMID: 39172712

8

Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas.

Hu X, Shi S, Wang Y, Yuan J, Chen M, Wei L, Deng W, Feng ST, Peng Z, Luo Y. Hu X, et al. Among authors: shi s. Radiol Med. 2024 Jan;129(1):1-13. doi: 10.1007/s11547-023-01733-3. Epub 2023 Oct 20. Radiol Med. 2024. PMID: 37861978

9

Utility of Quantitative Metrics From Dual-Layer Spectral-Detector CT for Differentiation of Pancreatic Neuroendocrine Tumor and Neuroendocrine Carcinoma.

Wang Y, Hu X, Shi S, Song C, Wang L, Yuan J, Lin Z, Cai H, Feng ST, Luo Y. Wang Y, et al. Among authors: shi s. AJR Am J Roentgenol. 2022 Jun;218(6):999-1009. doi: 10.2214/AJR.21.27017. Epub 2022 Jan 19. AJR Am J Roentgenol. 2022. PMID: 35043668

10

Optimization of the tumour response threshold in advanced gastroenteropancreatic neuroendocrine carcinomas treated with cisplatin/etoposide combined chemotherapy.

Wang Y, Chen J, Song C, Shi S, Li Z, Feng ST, Luo Y. Wang Y, et al. Among authors: shi s. Eur J Radiol. 2022 Feb;147:110119. doi: 10.1016/j.ejrad.2021.110119. Epub 2021 Dec 26. Eur J Radiol. 2022. PMID: 34979297

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