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Journal Abstract Search

369 related items for PubMed ID: 36057930

  • 21. Preoperative prediction of malignant potential of 2-5 cm gastric gastrointestinal stromal tumors by computerized tomography-based radiomics.
    Sun XF, Zhu HT, Ji WY, Zhang XY, Li XT, Tang L, Sun YS.
    World J Gastrointest Oncol; 2022 May 15; 14(5):1014-1026. PubMed ID: 35646280
    [Abstract] [Full Text] [Related]

  • 22. 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
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  • 23. 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 16; 125(5):465-473. PubMed ID: 32048155
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  • 24. 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 May 16; 29(4):675-686. PubMed ID: 34024809
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  • 25. 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
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  • 26. Development and validation of a contrast-enhanced CT-based radiomics nomogram for preoperative diagnosis in neuroendocrine carcinoma of digestive system.
    Xu L, Yang X, Xiang W, Hu P, Zhang X, Li Z, Li Y, Liu Y, Dai Y, Luo Y, Qiu H.
    Front Endocrinol (Lausanne); 2023 Jan 14; 14():1155307. PubMed ID: 37124722
    [Abstract] [Full Text] [Related]

  • 27. Development and validation of a prognostic nomogram for recurrence-free survival after complete surgical resection of localised primary gastrointestinal stromal tumour: a retrospective analysis.
    Gold JS, Gönen M, Gutiérrez A, Broto JM, García-del-Muro X, Smyrk TC, Maki RG, Singer S, Brennan MF, Antonescu CR, Donohue JH, DeMatteo RP.
    Lancet Oncol; 2009 Nov 14; 10(11):1045-52. PubMed ID: 19793678
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  • 28. 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 14; 31(8):6078-6086. PubMed ID: 33515086
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  • 29. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D, Hu Y, Ding H, Wei J, Chen K, Liu H, Zeng M, Tian J.
    Eur Radiol; 2019 Dec 14; 29(12):6880-6890. PubMed ID: 31227882
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  • 30. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A, Wang Z, Yang Y, Wang J, Dai X, Wang L, Lu Y, Xue F.
    Cancer Commun (Lond); 2020 Jan 14; 40(1):16-24. PubMed ID: 32125097
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  • 31. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram.
    Yuan C, Wang Z, Gu D, Tian J, Zhao P, Wei J, Yang X, Hao X, Dong D, He N, Sun Y, Gao W, Feng J.
    Cancer Imaging; 2019 Apr 26; 19(1):21. PubMed ID: 31027510
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  • 32. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
    Qiu Q, Duan J, Deng H, Han Z, Gu J, Yue NJ, Yin Y.
    Front Oncol; 2020 Apr 26; 10():1398. PubMed ID: 32850451
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  • 33. Developed and validated a prognostic nomogram for recurrence-free survival after complete surgical resection of local primary gastrointestinal stromal tumors based on deep learning.
    Chen T, Liu S, Li Y, Feng X, Xiong W, Zhao X, Yang Y, Zhang C, Hu Y, Chen H, Lin T, Zhao M, Liu H, Yu J, Xu Y, Zhang Y, Li G.
    EBioMedicine; 2019 Jan 26; 39():272-279. PubMed ID: 30587460
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  • 34. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
    Sun F, Chen Y, Chen X, Sun X, Xing L.
    Eur J Radiol; 2021 Jan 26; 134():109411. PubMed ID: 33246270
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  • 35. Comparison of malignancy-prediction efficiency between contrast and non-contract CT-based radiomics features in gastrointestinal stromal tumors: A multicenter study.
    Zhang QW, Zhou XX, Zhang RY, Chen SL, Liu Q, Wang J, Zhang Y, Lin J, Xu JR, Gao YJ, Ge ZZ.
    Clin Transl Med; 2020 Jul 26; 10(3):e291. PubMed ID: 32634272
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  • 36. Radiomics model for preoperative prediction of 3-year survival-based CT image biomarkers in esophageal cancer.
    Wang J, Yu X, Zeng J, Li H, Qin P.
    Eur Arch Otorhinolaryngol; 2022 Nov 26; 279(11):5433-5443. PubMed ID: 35857100
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  • 37. Predicting event-free survival after induction of remission in high-risk pediatric neuroblastoma: combining 123I-MIBG SPECT-CT radiomics and clinical factors.
    Feng L, Yang X, Wang C, Zhang H, Wang W, Yang J.
    Pediatr Radiol; 2024 May 26; 54(5):805-819. PubMed ID: 38492045
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  • 38. [Predicting postoperative recurrence of stage Ⅰ-Ⅲ renal clear cell carcinoma based on preoperative CT radiomics feature nomogram].
    Zhang H, Yin F, Chen M, Qi A, Yang L, Cui W, Yang S, Wen G.
    Nan Fang Yi Ke Da Xue Xue Bao; 2021 Aug 31; 41(9):1358-1365. PubMed ID: 34658350
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  • 39. 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 31; 29(7):3595-3605. PubMed ID: 30770969
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  • 40. Risk stratification for 1- to 2-cm gastric gastrointestinal stromal tumors: visual assessment of CT and EUS high-risk features versus CT radiomics analysis.
    Jia X, Wan L, Chen X, Ji W, Huang S, Qi Y, Cui J, Wei S, Cheng J, Chai F, Feng C, Liu Y, Zhang H, Sun Y, Hong N, Rao S, Zhang X, Xiao Y, Ye Y, Tang L, Wang Y.
    Eur Radiol; 2023 Apr 31; 33(4):2768-2778. PubMed ID: 36449061
    [Abstract] [Full Text] [Related]

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