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Journal Abstract Search

134 related items for PubMed ID: 38092588

  • 21. A clinical-radiomics model incorporating T2-weighted and diffusion-weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer.
    Zhang K, Ren Y, Xu S, Lu W, Xie S, Qu J, Wang X, Shen B, Pang P, Cai X, Sun J.
    Med Phys; 2021 Sep; 48(9):4872-4882. PubMed ID: 34042185
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  • 22. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
    Zhang Y, Huang H, Yin L, Wang ZX, Lu SY, Wang XX, Xiang LL, Zhang Q, Zhang JL, Shan XH.
    Zhonghua Zhong Liu Za Zhi; 2024 May 23; 46(5):428-437. PubMed ID: 38742356
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  • 23. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
    Zhang J, Wang G, Ren J, Yang Z, Li D, Cui Y, Yang X.
    Eur Radiol; 2022 Jun 23; 32(6):4079-4089. PubMed ID: 35050415
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  • 24. Radiomic Nomogram for Predicting Axillary Lymph Node Metastasis in Patients with Breast Cancer.
    Chen Y, Li J, Zhang J, Yu Z, Jiang H.
    Acad Radiol; 2024 Mar 23; 31(3):788-799. PubMed ID: 37932165
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  • 27. Multiparametric MRI-based radiomics nomogram for predicting the hormone receptor status of HER2-positive breast cancer.
    Sang L, Liu Z, Huang C, Xu J, Wang H.
    Clin Radiol; 2024 Jan 23; 79(1):60-66. PubMed ID: 37838543
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  • 29. Radiomics Based on Dynamic Contrast-Enhanced MRI to Early Predict Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Therapy.
    Zeng Q, Ke M, Zhong L, Zhou Y, Zhu X, He C, Liu L.
    Acad Radiol; 2023 Aug 23; 30(8):1638-1647. PubMed ID: 36564256
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  • 30. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
    Xu H, Liu J, Chen Z, Wang C, Liu Y, Wang M, Zhou P, Luo H, Ren J.
    Eur Radiol; 2022 Jul 23; 32(7):4845-4856. PubMed ID: 35079887
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  • 31. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
    Liu C, Ding J, Spuhler K, Gao Y, Serrano Sosa M, Moriarty M, Hussain S, He X, Liang C, Huang C.
    J Magn Reson Imaging; 2019 Jan 23; 49(1):131-140. PubMed ID: 30171822
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  • 33. MRI-Based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients With Invasive Breast Cancer.
    Nijiati M, Aihaiti D, Huojia A, Abulizi A, Mutailifu S, Rouzi N, Dai G, Maimaiti P.
    Front Oncol; 2022 Jan 23; 12():876624. PubMed ID: 35734595
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  • 37. A two-center study of a combined nomogram based on mammography and MRI to predict ALN metastasis in breast cancer.
    Hua Y, Peng Q, Han J, Fei J, Sun A.
    Magn Reson Imaging; 2024 Jul 23; 110():128-137. PubMed ID: 38631535
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  • 39. MRI-based traditional radiomics and computer-vision nomogram for predicting lymphovascular space invasion in endometrial carcinoma.
    Long L, Sun J, Jiang L, Hu Y, Li L, Tan Y, Cao M, Lan X, Zhang J.
    Diagn Interv Imaging; 2021 Jul 23; 102(7-8):455-462. PubMed ID: 33741266
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