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Journal Abstract Search

902 related items for PubMed ID: 31016445

  • 1. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
    Wang H, Hu D, Yao H, Chen M, Li S, Chen H, Luo J, Feng Y, Guo Y.
    Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
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  • 5. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
    Lin K, Cidan W, Qi Y, Wang X.
    Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
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  • 6. Elaboration of Multiparametric MRI-Based Radiomics Signature for the Preoperative Quantitative Identification of the Histological Grade in Patients With Non-Small-Cell Lung Cancer.
    Tang X, Bai G, Wang H, Guo F, Yin H.
    J Magn Reson Imaging; 2022 Aug; 56(2):579-589. PubMed ID: 35040525
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  • 7. Integrating multiparametric MRI radiomics features and the Vesical Imaging-Reporting and Data System (VI-RADS) for bladder cancer grading.
    Zheng Z, Xu F, Gu Z, Yan Y, Xu T, Liu S, Yao X.
    Abdom Radiol (NY); 2021 Sep; 46(9):4311-4323. PubMed ID: 33978825
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  • 9. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
    Kim M, Jung SY, Park JE, Jo Y, Park SY, Nam SJ, Kim JH, Kim HS.
    Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
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  • 11. Preoperative prediction of histopathological grading in patients with chondrosarcoma using MRI-based radiomics with semantic features.
    Li X, Zhang J, Leng Y, Liu J, Li L, Wan T, Dong W, Fan B, Gong L.
    BMC Med Imaging; 2024 Jul 11; 24(1):171. PubMed ID: 38992609
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  • 12. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
    Wang X, Wan Q, Chen H, Li Y, Li X.
    Eur Radiol; 2020 Aug 11; 30(8):4595-4605. PubMed ID: 32222795
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  • 13. Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.
    Zhang X, Xu X, Tian Q, Li B, Wu Y, Yang Z, Liang Z, Liu Y, Cui G, Lu H.
    J Magn Reson Imaging; 2017 Nov 11; 46(5):1281-1288. PubMed ID: 28199039
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  • 16. Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach.
    Zheng J, Kong J, Wu S, Li Y, Cai J, Yu H, Xie W, Qin H, Wu Z, Huang J, Lin T.
    Cancer; 2019 Dec 15; 125(24):4388-4398. PubMed ID: 31469418
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  • 18. Preoperative Noninvasive Evaluation of Tumor Budding in Rectal Cancer Using Multiparameter MRI Radiomics.
    Peng L, Wang D, Zhuang Z, Chen X, Xue J, Zhu H, Zhang L.
    Acad Radiol; 2024 Jun 15; 31(6):2334-2345. PubMed ID: 38135624
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