BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 37812296)

  • 1. Multi-parametric MRI-based machine learning model for prediction of WHO grading in patients with meningiomas.
    Zhao Z; Nie C; Zhao L; Xiao D; Zheng J; Zhang H; Yan P; Jiang X; Zhao H
    Eur Radiol; 2024 Apr; 34(4):2468-2479. PubMed ID: 37812296
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study.
    Zhang J; Yao K; Liu P; Liu Z; Han T; Zhao Z; Cao Y; Zhang G; Zhang J; Tian J; Zhou J
    EBioMedicine; 2020 Aug; 58():102933. PubMed ID: 32739863
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A radiomics nomogram for predicting the meningioma grade based on enhanced
    Duan C; Zhou X; Wang J; Li N; Liu F; Gao S; Liu X; Xu W
    Br J Radiol; 2022 Sep; 95(1137):20220141. PubMed ID: 35816518
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study.
    Li X; Lu Y; Liu L; Wang D; Zhao Y; Mei N; Geng D; Ma X; Zheng W; Duan S; Wu PY; Wen H; Tan Y; Sun X; Sun S; Li Z; Yu T; Yin B
    Eur Radiol; 2023 Dec; 33(12):8912-8924. PubMed ID: 37498381
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI.
    Han Y; Wang T; Wu P; Zhang H; Chen H; Yang C
    Magn Reson Imaging; 2021 Apr; 77():36-43. PubMed ID: 33220449
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: development and validation.
    Joo L; Park JE; Park SY; Nam SJ; Kim YH; Kim JH; Kim HS
    Neuro Oncol; 2021 Feb; 23(2):324-333. PubMed ID: 32789495
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging.
    Han T; Liu X; Long C; Xu Z; Geng Y; Zhang B; Deng L; Jing M; Zhou J
    Magn Reson Imaging; 2023 Dec; 104():16-22. PubMed ID: 37734573
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.
    Park YW; Oh J; You SC; Han K; Ahn SS; Choi YS; Chang JH; Kim SH; Lee SK
    Eur Radiol; 2019 Aug; 29(8):4068-4076. PubMed ID: 30443758
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.
    Hamerla G; Meyer HJ; Schob S; Ginat DT; Altman A; Lim T; Gihr GA; Horvath-Rizea D; Hoffmann KT; Surov A
    Magn Reson Imaging; 2019 Nov; 63():244-249. PubMed ID: 31425811
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 32(6):4079-4089. PubMed ID: 35050415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor.
    Yue Z; Wang X; Yu T; Shang S; Liu G; Jing W; Yang H; Luo Y; Jiang X
    Magn Reson Imaging; 2022 Sep; 91():91-99. PubMed ID: 35525523
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.
    Hu J; Zhao Y; Li M; Liu J; Wang F; Weng Q; Wang X; Cao D
    Eur J Radiol; 2020 Oct; 131():109251. PubMed ID: 32916409
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiparametric MRI-Based Radiomics Signature with Machine Learning for Preoperative Prediction of Prognosis Stratification in Pediatric Medulloblastoma.
    Luo Y; Zhuang Y; Zhang S; Wang J; Teng S; Zeng H
    Acad Radiol; 2024 Apr; 31(4):1629-1642. PubMed ID: 37643930
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Meningioma consistency assessment based on the fusion of deep learning features and radiomics features.
    Zhang J; Zhao Y; Lu Y; Li P; Dang S; Li X; Yin B; Zhao L
    Eur J Radiol; 2024 Jan; 170():111250. PubMed ID: 38071910
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram based on MRI can preoperatively predict brain invasion in meningioma.
    Zhang J; Cao Y; Zhang G; Zhao Z; Sun J; Li W; Ren J; Han T; Zhou J; Chen K
    Neurosurg Rev; 2022 Dec; 45(6):3729-3737. PubMed ID: 36180806
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accuracy of Radiomics-Based Feature Analysis on Multiparametric Magnetic Resonance Images for Noninvasive Meningioma Grading.
    Laukamp KR; Shakirin G; Baeßler B; Thiele F; Zopfs D; Große Hokamp N; Timmer M; Kabbasch C; Perkuhn M; Borggrefe J
    World Neurosurg; 2019 Dec; 132():e366-e390. PubMed ID: 31476455
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema.
    Guo Z; Tian Z; Shi F; Xu P; Zhang J; Ling C; Zeng Q
    J Magn Reson Imaging; 2023 Jul; 58(1):301-310. PubMed ID: 36259547
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
    Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
    J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.