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369 related items for PubMed ID: 35875154
1. Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma. Wu C, Chen J, Fan Y, Zhao M, He X, Wei Y, Ge W, Liu Y. Front Oncol; 2022; 12():943942. PubMed ID: 35875154 [Abstract] [Full Text] [Related]
2. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study. Li Q, Song Z, Li X, Zhang D, Yu J, Li Z, Huang J, Su K, Liu Q, Zhang X, Tang Z. Eur Radiol; 2024 May; 34(5):2934-2943. PubMed ID: 37938382 [Abstract] [Full Text] [Related]
3. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades. Zheng Z, Chen Z, Xie Y, Zhong Q, Xie W. Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086 [Abstract] [Full Text] [Related]
4. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma. Deng PZ, Zhao BG, Huang XH, Xu TF, Chen ZJ, Wei QF, Liu XY, Guo YQ, Yuan SG, Liao WJ. World J Gastroenterol; 2022 Aug 21; 28(31):4376-4389. PubMed ID: 36159012 [Abstract] [Full Text] [Related]
5. Radiomics nomogram based on CT radiomics features and clinical factors for prediction of Ki-67 expression and prognosis in clear cell renal cell carcinoma: a two-center study. Li B, Zhu J, Wang Y, Xu Y, Gao Z, Shi H, Nie P, Zhang J, Zhuang Y, Wang Z, Yang G. Cancer Imaging; 2024 Aug 06; 24(1):103. PubMed ID: 39107799 [Abstract] [Full Text] [Related]
6. CT-Based Radiomics Nomogram Improves Risk Stratification and Prediction of Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy. Wu C, Yu S, Zhang Y, Zhu L, Chen S, Liu Y. Front Oncol; 2022 Aug 06; 12():896002. PubMed ID: 35875140 [Abstract] [Full Text] [Related]
7. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy. Liu Q, Li J, Liu F, Yang W, Ding J, Chen W, Wei Y, Li B, Zheng L. Cancer Imaging; 2020 Nov 16; 20(1):82. PubMed ID: 33198809 [Abstract] [Full Text] [Related]
8. Prediction of the Ki-67 expression level and prognosis of gastrointestinal stromal tumors based on CT radiomics nomogram. Feng Q, Tang B, Zhang Y, Liu X. Int J Comput Assist Radiol Surg; 2022 Jun 16; 17(6):1167-1175. PubMed ID: 35195831 [Abstract] [Full Text] [Related]
9. Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA. Zhang S, Duan C, Zhou X, Liu F, Wang X, Shao Q, Gao Y, Duan F, Zhao R, Wang G. Front Oncol; 2022 Jun 16; 12():1034519. PubMed ID: 36387156 [Abstract] [Full Text] [Related]
10. MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma. Gu D, Xie Y, Wei J, Li W, Ye Z, Zhu Z, Tian J, Li X. J Magn Reson Imaging; 2020 Dec 16; 52(6):1679-1687. PubMed ID: 32491239 [Abstract] [Full Text] [Related]
11. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT. Ma X, Wei J, Gu D, Zhu Y, Feng B, Liang M, Wang S, Zhao X, Tian J. Eur Radiol; 2019 Jul 16; 29(7):3595-3605. PubMed ID: 30770969 [Abstract] [Full Text] [Related]
12. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma. Niu XK, He XF. World J Gastroenterol; 2021 Jan 14; 27(2):189-207. PubMed ID: 33510559 [Abstract] [Full Text] [Related]
13. Radiomics nomogram for prediction of glypican-3 positive hepatocellular carcinoma based on hepatobiliary phase imaging. Zhang N, Wu M, Zhou Y, Yu C, Shi D, Wang C, Gao M, Lv Y, Zhu S. Front Oncol; 2023 Jan 14; 13():1209814. PubMed ID: 37841420 [Abstract] [Full Text] [Related]
14. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features. Sun Z, Jin L, Zhang S, Duan S, Xing W, Hu S. J Xray Sci Technol; 2021 Jan 14; 29(4):675-686. PubMed ID: 34024809 [Abstract] [Full Text] [Related]
15. CT-Based Radiomics Nomogram: A Potential Tool for Differentiating Hepatocellular Adenoma From Hepatocellular Carcinoma in the Noncirrhotic Liver. Nie P, Wang N, Pang J, Yang G, Duan S, Chen J, Xu W. Acad Radiol; 2021 Jun 14; 28(6):799-807. PubMed ID: 32386828 [Abstract] [Full Text] [Related]
16. Prediction of early recurrence of hepatocellular carcinoma after liver transplantation based on computed tomography radiomics nomogram. Zhao JW, Shu X, Chen XX, Liu JX, Liu MQ, Ye J, Jiang HJ, Wang GS. Hepatobiliary Pancreat Dis Int; 2022 Dec 14; 21(6):543-550. PubMed ID: 35705443 [Abstract] [Full Text] [Related]
17. A radiomics nomogram based on contrast-enhanced CT for preoperative prediction of Lymphovascular invasion in esophageal squamous cell carcinoma. Wang Y, Bai G, Huang W, Zhang H, Chen W. Front Oncol; 2023 Dec 14; 13():1208756. PubMed ID: 37465108 [Abstract] [Full Text] [Related]
18. An Automated Breast Volume Scanner-Based Intra- and Peritumoral Radiomics Nomogram for the Preoperative Prediction of Expression of Ki-67 in Breast Malignancy. Wu Y, Ma Q, Fan L, Wu S, Wang J. Acad Radiol; 2024 Jan 14; 31(1):93-103. PubMed ID: 37544789 [Abstract] [Full Text] [Related]
19. Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma. Zhao YM, Xie SS, Wang J, Zhang YM, Li WC, Ye ZX, Shen W. BMC Med Imaging; 2023 Sep 22; 23(1):138. PubMed ID: 37737166 [Abstract] [Full Text] [Related]
20. A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma. Peng J, Zhang J, Zhang Q, Xu Y, Zhou J, Liu L. Diagn Interv Radiol; 2018 Sep 22; 24(3):121-127. PubMed ID: 29770763 [Abstract] [Full Text] [Related] Page: [Next] [New Search]