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210 related items for PubMed ID: 36652141

  • 1. Radiomics signatures based on contrast-enhanced CT for preoperative prediction of the Ki-67 proliferation state in gastrointestinal stromal tumors.
    Liu M, Bian J.
    Jpn J Radiol; 2023 Jul; 41(7):741-751. PubMed ID: 36652141
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  • 3. 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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  • 4. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
    Wei Y, Lu Z, Ren Y.
    Technol Cancer Res Treat; 2023 Jun; 22():15330338231181260. PubMed ID: 37296525
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  • 5. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
    Song Y, Li J, Wang H, Liu B, Yuan C, Liu H, Zheng Z, Min F, Li Y.
    Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
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  • 6. 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; 33(11):7609-7617. PubMed ID: 37266658
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  • 7. 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
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  • 8. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features.
    Wang FH, Zheng HL, Li JT, Li P, Zheng CH, Chen QY, Huang CM, Xie JW.
    Radiol Med; 2022 Oct; 127(10):1085-1097. PubMed ID: 36057930
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  • 14. Computed tomography-based radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors.
    Zhang L, Kang L, Li G, Zhang X, Ren J, Shi Z, Li J, Yu S.
    Radiol Med; 2020 May; 125(5):465-473. PubMed ID: 32048155
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  • 20. Radiomics analysis of contrast-enhanced computerized tomography for differentiation of gastric schwannomas from gastric gastrointestinal stromal tumors.
    Zhang C, Wang C, Mao G, Cheng G, Ji H, He L, Yang Y, Hu H, Wang J.
    J Cancer Res Clin Oncol; 2024 Feb 09; 150(2):87. PubMed ID: 38336926
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