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333 related items for PubMed ID: 35195831

  • 1. 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; 17(6):1167-1175. PubMed ID: 35195831
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  • 7. 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
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  • 9. Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT.
    Liu Y, He C, Fang W, Peng L, Shi F, Xia Y, Zhou Q, Zhang R, Li C.
    Eur Radiol; 2023 Nov 06; 33(11):7609-7617. PubMed ID: 37266658
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  • 11. CT radiomics nomogram for prediction of the Ki-67 index in head and neck squamous cell carcinoma.
    Zheng YM, Chen J, Zhang M, Wu ZJ, Tang GZ, Zhang Y, Dong C.
    Eur Radiol; 2023 Mar 06; 33(3):2160-2170. PubMed ID: 36222864
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  • 12. 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
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  • 16. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
    Nie P, Yang G, Wang Z, Yan L, Miao W, Hao D, Wu J, Zhao Y, Gong A, Cui J, Jia Y, Niu H.
    Eur Radiol; 2020 Feb 21; 30(2):1274-1284. PubMed ID: 31506816
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  • 17. A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors.
    Liang W, Yang P, Huang R, Xu L, Wang J, Liu W, Zhang L, Wan D, Huang Q, Lu Y, Kuang Y, Niu T.
    Clin Cancer Res; 2019 Jan 15; 25(2):584-594. PubMed ID: 30397175
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  • 18. 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 Jan 15; 12():943942. PubMed ID: 35875154
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  • 19. MRI-based radiomics signatures for preoperative prediction of Ki-67 index in primary central nervous system lymphoma.
    Liu J, Tu J, Xu L, Liu F, Lu Y, He F, Li A, Li Y, Liu S, Xiong J.
    Eur J Radiol; 2024 Sep 15; 178():111603. PubMed ID: 38976966
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  • 20. Applying a nomogram based on preoperative CT to predict early recurrence of laryngeal squamous cell carcinoma after surgery.
    Yao Y, Jia C, Zhang H, Mou Y, Wang C, Han X, Yu P, Mao N, Song X.
    J Xray Sci Technol; 2023 Sep 15; 31(3):435-452. PubMed ID: 36806538
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