These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

309 related articles for article (PubMed ID: 36547672)

  • 1. Machine learning-based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle.
    Mo H; Liang W; Huang Z; Li X; Xiao X; Liu H; He J; Xu Y; Wu Y
    Eur Radiol; 2023 Jun; 33(6):4259-4269. PubMed ID: 36547672
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.
    Yimit Y; Yasin P; Tuersun A; Wang J; Wang X; Huang C; Abudoubari S; Chen X; Ibrahim I; Nijiati P; Wang Y; Zou X; Nijiati M
    Acad Radiol; 2024 Aug; 31(8):3384-3396. PubMed ID: 38508934
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 5. T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.
    Tang WT; Su CQ; Lin J; Xia ZW; Lu SS; Hong XN
    Clin Radiol; 2024 May; 79(5):e750-e758. PubMed ID: 38360515
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.
    Sim Y; Kim M; Kim J; Lee SK; Han K; Sohn B
    Eur Radiol; 2024 May; 34(5):3102-3112. PubMed ID: 37848774
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Predicting cerebral glioma enhancement pattern using a machine learning-based magnetic resonance imaging radiomics model].
    He H; Guo E; Meng W; Wang Y; Wang W; He W; Wu Y; Yang W
    Nan Fang Yi Ke Da Xue Xue Bao; 2024 Jan; 44(1):194-200. PubMed ID: 38293992
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study.
    Chen W; Lin G; Chen Y; Cheng F; Li X; Ding J; Zhong Y; Kong C; Chen M; Xia S; Lu C; Ji J
    BMC Cancer; 2024 Apr; 24(1):418. PubMed ID: 38580939
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 30(8):4595-4605. PubMed ID: 32222795
    [TBL] [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; 54(5):1541-1550. PubMed ID: 34085336
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
    Kandemirli SG; Kocak B; Naganawa S; Ozturk K; Yip SSF; Chopra S; Rivetti L; Aldine AS; Jones K; Cayci Z; Moritani T; Sato TS
    World Neurosurg; 2021 Jul; 151():e78-e85. PubMed ID: 33819703
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The efficacy of using a multiparametric magnetic resonance imaging-based radiomics model to distinguish glioma recurrence from pseudoprogression.
    Fu FX; Cai QL; Li G; Wu XJ; Hong L; Chen WS
    Magn Reson Imaging; 2024 Sep; 111():168-178. PubMed ID: 38729227
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
    Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
    Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature.
    Zhang L; Zhe X; Tang M; Zhang J; Ren J; Zhang X; Li L
    Contrast Media Mol Imaging; 2021; 2021():7830909. PubMed ID: 35024015
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting histological grade in pediatric glioma using multiparametric radiomics and conventional MRI features.
    Zhou T; Qiao B; Peng B; Liu Y; Gong Z; Kang M; He Y; Pang C; Dai Y; Sheng M
    Sci Rep; 2024 Jun; 14(1):13683. PubMed ID: 38871755
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pretreatment Multiparametric MRI-Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors.
    Ma X; Gong J; Hu F; Tang W; Gu Y; Peng W
    J Magn Reson Imaging; 2023 Feb; 57(2):633-645. PubMed ID: 35657093
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
    Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
    J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Glioma enhancement pattern using a MRI radiomics-based model.
    Wang W; Wang Y; Meng W; Guo E; He H; Huang G; He W; Wu Y
    Medicine (Baltimore); 2024 Sep; 103(36):e39512. PubMed ID: 39252245
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.