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Journal Abstract Search

369 related items for PubMed ID: 35875154

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  • 43. Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma.
    Yang Y, Fan W, Gu T, Yu L, Chen H, Lv Y, Liu H, Wang G, Zhang D.
    Front Oncol; 2021; 11():756216. PubMed ID: 34692547
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  • 45. Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signatures.
    Zhang D, Zhang XY, Lu WW, Liao JT, Zhang CX, Tang Q, Cui XW.
    Abdom Radiol (NY); 2024 May; 49(5):1419-1431. PubMed ID: 38461433
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  • 46. 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; 178():111603. PubMed ID: 38976966
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  • 56. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
    Chen Z, Yi L, Peng Z, Zhou J, Zhang Z, Tao Y, Lin Z, He A, Jin M, Zuo M.
    Front Oncol; 2022 Sep; 12():949111. PubMed ID: 36505773
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  • 57. A radiomics-based biomarker for cytokeratin 19 status of hepatocellular carcinoma with gadoxetic acid-enhanced MRI.
    Wang W, Gu D, Wei J, Ding Y, Yang L, Zhu K, Luo R, Rao SX, Tian J, Zeng M.
    Eur Radiol; 2020 May; 30(5):3004-3014. PubMed ID: 32002645
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