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1331 related items for PubMed ID: 33342131

  • 1. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer].
    Jia CL, Cao Y, Song Q, Zhang WB, Li JJ, Wu XX, Yu PY, Mou YK, Mao N, Song XC.
    Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec 07; 55(12):1154-1161. PubMed ID: 33342131
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  • 3. CT Radiomics-Based Nomogram for Predicting the Lateral Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Prospective Multicenter Study.
    Dong L, Han X, Yu P, Zhang W, Wang C, Sun Q, Song F, Zhang H, Zheng G, Mao N, Song X.
    Acad Radiol; 2023 Dec 07; 30(12):3032-3046. PubMed ID: 37210266
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  • 9. Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.
    Wang T, Gao T, Yang J, Yan X, Wang Y, Zhou X, Tian J, Huang L, Zhang M.
    Eur J Radiol; 2019 May 07; 114():128-135. PubMed ID: 31005162
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  • 10. Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: A multicenter study.
    Zhang J, Zhang Z, Mao N, Zhang H, Gao J, Wang B, Ren J, Liu X, Zhang B, Dou T, Li W, Wang Y, Jia H.
    J Xray Sci Technol; 2023 May 07; 31(2):247-263. PubMed ID: 36744360
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  • 11. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J, Wu X, Mao N, Zheng G, Zhang H, Mou Y, Jia C, Mi J, Song X.
    Front Endocrinol (Lausanne); 2021 May 07; 12():741698. PubMed ID: 34745008
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  • 13. Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.
    Tong Y, Li J, Huang Y, Zhou J, Liu T, Guo Y, Yu J, Zhou S, Wang Y, Chang C.
    Acad Radiol; 2021 Dec 07; 28(12):1675-1684. PubMed ID: 32782219
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  • 17. Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T2-weighted imaging.
    Liu X, Zhang Y, Sun Z, Wang X, Zhang X, Wang X.
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug 28; 47(8):1025-1036. PubMed ID: 36097770
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  • 18. Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature.
    Liu Q, Liu S, Mao Y, Kang X, Yu M, Chen G.
    Eur Radiol; 2024 Aug 28; 34(8):5349-5359. PubMed ID: 38206403
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  • 20. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
    Yu Y, Tan Y, Xie C, Hu Q, Ouyang J, Chen Y, Gu Y, Li A, Lu N, He Z, Yang Y, Chen K, Ma J, Li C, Ma M, Li X, Zhang R, Zhong H, Ou Q, Zhang Y, He Y, Li G, Wu Z, Su F, Song E, Yao H.
    JAMA Netw Open; 2020 Dec 01; 3(12):e2028086. PubMed ID: 33289845
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