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321 related items for PubMed ID: 32462799

  • 1. Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma.
    Li Q, Liu YJ, Dong D, Bai X, Huang QB, Guo AT, Ye HY, Tian J, Wang HY.
    J Magn Reson Imaging; 2020 Nov; 52(5):1557-1566. PubMed ID: 32462799
    [Abstract] [Full Text] [Related]

  • 2. Computed Tomography-Based Radiomics Model for Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Preoperatively: A Multicenter Study.
    Wang R, Hu Z, Shen X, Wang Q, Zhang L, Wang M, Feng Z, Chen F.
    Front Oncol; 2021 Nov; 11():543854. PubMed ID: 33718124
    [Abstract] [Full Text] [Related]

  • 3. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma.
    Luo Y, Mei D, Gong J, Zuo M, Guo X.
    J Magn Reson Imaging; 2020 Oct; 52(4):1257-1262. PubMed ID: 32315482
    [Abstract] [Full Text] [Related]

  • 4. Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two-center study.
    Chen R, Su Q, Li Y, Shen P, Zhang J, Tan Y.
    BMC Cancer; 2024 Sep 27; 24(1):1176. PubMed ID: 39333970
    [Abstract] [Full Text] [Related]

  • 5. CT-based radiomic model predicts high grade of clear cell renal cell carcinoma.
    Ding J, Xing Z, Jiang Z, Chen J, Pan L, Qiu J, Xing W.
    Eur J Radiol; 2018 Jun 27; 103():51-56. PubMed ID: 29803385
    [Abstract] [Full Text] [Related]

  • 6. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade.
    Shu J, Tang Y, Cui J, Yang R, Meng X, Cai Z, Zhang J, Xu W, Wen D, Yin H.
    Eur J Radiol; 2018 Dec 27; 109():8-12. PubMed ID: 30527316
    [Abstract] [Full Text] [Related]

  • 7. Ultrasound-Based Radiomics for Predicting the WHO/ISUP Grading of Clear-Cell Renal Cell Carcinoma.
    Chen YF, Fu F, Zhuang JJ, Zheng WT, Zhu YF, Lian GT, Fan XQ, Zhang HP, Ye Q.
    Ultrasound Med Biol; 2024 Nov 27; 50(11):1619-1627. PubMed ID: 39097493
    [Abstract] [Full Text] [Related]

  • 8. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q, Li Q, Mi R, Ye H, Zhang H, Chen B, Li Y, Huang G, Xia J.
    J Magn Reson Imaging; 2019 Mar 27; 49(3):825-833. PubMed ID: 30260592
    [Abstract] [Full Text] [Related]

  • 9. Editorial for "Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma".
    Ntorkou AA.
    J Magn Reson Imaging; 2020 Nov 27; 52(5):1567-1568. PubMed ID: 32592241
    [No Abstract] [Full Text] [Related]

  • 10. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma.
    Huang ZS, Xiao X, Li XD, Mo HZ, He WL, Deng YH, Lu LJ, Wu YK, Liu H.
    J Magn Reson Imaging; 2021 Nov 27; 54(5):1541-1550. PubMed ID: 34085336
    [Abstract] [Full Text] [Related]

  • 11. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.
    Tang TY, Li X, Zhang Q, Guo CX, Zhang XZ, Lao MY, Shen YN, Xiao WB, Ying SH, Sun K, Yu RS, Gao SL, Que RS, Chen W, Huang DB, Pang PP, Bai XL, Liang TB.
    J Magn Reson Imaging; 2020 Jul 27; 52(1):231-245. PubMed ID: 31867839
    [Abstract] [Full Text] [Related]

  • 12. Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma.
    Yi X, Xiao Q, Zeng F, Yin H, Li Z, Qian C, Wang C, Lei G, Xu Q, Li C, Li M, Gong G, Zee C, Guan X, Liu L, Chen BT.
    Front Oncol; 2020 Jul 27; 10():570396. PubMed ID: 33585193
    [Abstract] [Full Text] [Related]

  • 13. 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 27; 31(8):6078-6086. PubMed ID: 33515086
    [Abstract] [Full Text] [Related]

  • 14. Predictive models composed by radiomic features extracted from multi-detector computed tomography images for predicting low- and high- grade clear cell renal cell carcinoma: A STARD-compliant article.
    He X, Zhang H, Zhang T, Han F, Song B.
    Medicine (Baltimore); 2019 Jan 27; 98(2):e13957. PubMed ID: 30633175
    [Abstract] [Full Text] [Related]

  • 15. Can texture analysis based on single unenhanced CT accurately predict the WHO/ISUP grading of localized clear cell renal cell carcinoma?
    Wang X, Song G, Jiang H, Zheng L, Pang P, Xu J.
    Abdom Radiol (NY); 2021 Sep 27; 46(9):4289-4300. PubMed ID: 33909090
    [Abstract] [Full Text] [Related]

  • 16. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S, Tang T, Su Q, Wang Y, Shu Z, Yang W, Gong X.
    Cancer Imaging; 2021 Mar 09; 21(1):26. PubMed ID: 33750453
    [Abstract] [Full Text] [Related]

  • 17. Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma.
    Li L, Wang K, Ma X, Liu Z, Wang S, Du J, Tian K, Zhou X, Wei W, Sun K, Lin Y, Wu Z, Tian J.
    Eur J Radiol; 2019 Sep 09; 118():81-87. PubMed ID: 31439263
    [Abstract] [Full Text] [Related]

  • 18. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
    Chen T, Li M, Gu Y, Zhang Y, Yang S, Wei C, Wu J, Li X, Zhao W, Shen J.
    J Magn Reson Imaging; 2019 Mar 09; 49(3):875-884. PubMed ID: 30230108
    [Abstract] [Full Text] [Related]

  • 19. MRI radiomics-based nomogram for individualised prediction of synchronous distant metastasis in patients with clear cell renal cell carcinoma.
    Bai X, Huang Q, Zuo P, Zhang X, Yuan J, Zhang X, Wang M, Xu W, Ye H, Zhao J, Sun H, Shao B, Wang H.
    Eur Radiol; 2021 Feb 09; 31(2):1029-1042. PubMed ID: 32856163
    [Abstract] [Full Text] [Related]

  • 20. Preoperative Predicting the WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma by Computed Tomography-Based Radiomics Features.
    Moldovanu CG, Boca B, Lebovici A, Tamas-Szora A, Feier DS, Crisan N, Andras I, Buruian MM.
    J Pers Med; 2020 Dec 23; 11(1):. PubMed ID: 33374569
    [Abstract] [Full Text] [Related]

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