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Journal Abstract Search

1225 related items for PubMed ID: 31828414

  • 21. Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma.
    Truong NCD, Bangalore Yogananda CG, Wagner BC, Holcomb JM, Reddy D, Saadat N, Hatanpaa KJ, Patel TR, Fei B, Lee MD, Jain R, Bruce RJ, Pinho MC, Madhuranthakam AJ, Maldjian JA.
    Radiol Artif Intell; 2024 Jul; 6(4):e230218. PubMed ID: 38775670
    [Abstract] [Full Text] [Related]

  • 22. Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features.
    Peng H, Huo J, Li B, Cui Y, Zhang H, Zhang L, Ma L.
    J Magn Reson Imaging; 2021 May; 53(5):1399-1407. PubMed ID: 33179832
    [Abstract] [Full Text] [Related]

  • 23. World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient.
    Maynard J, Okuchi S, Wastling S, Busaidi AA, Almossawi O, Mbatha W, Brandner S, Jaunmuktane Z, Koc AM, Mancini L, Jäger R, Thust S.
    Radiology; 2020 Jul; 296(1):111-121. PubMed ID: 32315266
    [No Abstract] [Full Text] [Related]

  • 24. Evaluation of Key Molecular Markers in Adult Diffuse Gliomas Based on a Novel Combination of Diffusion and Perfusion MRI and MR Spectroscopy.
    Su X, Yang X, Sun H, Liu Y, Chen N, Li S, Huang Z, Shao H, Zhang S, Gong Q, Yue Q.
    J Magn Reson Imaging; 2024 Feb; 59(2):628-638. PubMed ID: 37246748
    [Abstract] [Full Text] [Related]

  • 25. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
    Tian Q, Yan LF, Zhang X, Zhang X, Hu YC, Han Y, Liu ZC, Nan HY, Sun Q, Sun YZ, Yang Y, Yu Y, Zhang J, Hu B, Xiao G, Chen P, Tian S, Xu J, Wang W, Cui GB.
    J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
    [Abstract] [Full Text] [Related]

  • 26. Prediction of IDH Mutation Status in High-grade Gliomas Using DWI and High T1-weight DSC-MRI.
    Cindil E, Sendur HN, Cerit MN, Erdogan N, Celebi F, Dag N, Celtikci E, Inan A, Oner Y, Tali T.
    Acad Radiol; 2022 Mar; 29 Suppl 3():S52-S62. PubMed ID: 33685792
    [Abstract] [Full Text] [Related]

  • 27. MRI features predict tumor grade in isocitrate dehydrogenase (IDH)-mutant astrocytoma and oligodendroglioma.
    Joyner DA, Garrett J, Batchala PP, Rama B, Ravicz JR, Patrie JT, Lopes MB, Fadul CE, Schiff D, Jain R, Patel SH.
    Neuroradiology; 2023 Jan; 65(1):121-129. PubMed ID: 35953567
    [Abstract] [Full Text] [Related]

  • 28. Role of Histogram Features on Arterial Spin Labeling Perfusion Magnetic Resonance Imaging in Identifying Isocitrate Dehydrogenase Genotypes and Glioma Malignancies.
    Su C, Peng C, Sun Y, Damen FC, Jiang R, Xie C, Cai K.
    Turk Neurosurg; 2024 Jan; 34(4):578-587. PubMed ID: 38874235
    [Abstract] [Full Text] [Related]

  • 29. Assessing the predictability of IDH mutation and MGMT methylation status in glioma patients using relaxation-compensated multipool CEST MRI at 7.0 T.
    Paech D, Windschuh J, Oberhollenzer J, Dreher C, Sahm F, Meissner JE, Goerke S, Schuenke P, Zaiss M, Regnery S, Bickelhaupt S, Bäumer P, Bendszus M, Wick W, Unterberg A, Bachert P, Ladd ME, Schlemmer HP, Radbruch A.
    Neuro Oncol; 2018 Nov 12; 20(12):1661-1671. PubMed ID: 29733378
    [Abstract] [Full Text] [Related]

  • 30. MR Imaging-derived Oxygen Metabolism and Neovascularization Characterization for Grading and IDH Gene Mutation Detection of Gliomas.
    Stadlbauer A, Zimmermann M, Kitzwögerer M, Oberndorfer S, Rössler K, Dörfler A, Buchfelder M, Heinz G.
    Radiology; 2017 Jun 12; 283(3):799-809. PubMed ID: 27982759
    [Abstract] [Full Text] [Related]

  • 31. Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas.
    Park YW, Ahn SS, Park CJ, Han K, Kim EH, Kang SG, Chang JH, Kim SH, Lee SK.
    Eur Radiol; 2020 Dec 12; 30(12):6475-6484. PubMed ID: 32785770
    [Abstract] [Full Text] [Related]

  • 32. Comparison of Radiomics Analyses Based on Different Magnetic Resonance Imaging Sequences in Grading and Molecular Genomic Typing of Glioma.
    Huang WY, Wen LH, Wu G, Hu MZ, Zhang CC, Chen F, Zhao JN.
    J Comput Assist Tomogr; 2020 Dec 12; 45(1):110-120. PubMed ID: 33475317
    [Abstract] [Full Text] [Related]

  • 33. Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study.
    Lu J, Xu W, Chen X, Wang T, Li H.
    Magn Reson Imaging; 2023 Dec 12; 104():72-79. PubMed ID: 37778708
    [Abstract] [Full Text] [Related]

  • 34. Microvascular characteristics of lower-grade diffuse gliomas: investigating vessel size imaging for differentiating grades and subtypes.
    Guo H, Kang H, Tong H, Du X, Liu H, Tan Y, Yang Y, Wang S, Zhang W.
    Eur Radiol; 2019 Apr 12; 29(4):1893-1902. PubMed ID: 30276676
    [Abstract] [Full Text] [Related]

  • 35. 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 12; 20(9):1381-1389. PubMed ID: 31464116
    [Abstract] [Full Text] [Related]

  • 36. Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.
    De Looze C, Beausang A, Cryan J, Loftus T, Buckley PG, Farrell M, Looby S, Reilly R, Brett F, Kearney H.
    J Neurooncol; 2018 Sep 12; 139(2):491-499. PubMed ID: 29770897
    [Abstract] [Full Text] [Related]

  • 37. Sub-region based radiomics analysis for prediction of isocitrate dehydrogenase and telomerase reverse transcriptase promoter mutations in diffuse gliomas.
    Zhang H, Ouyang Y, Zhang H, Zhang Y, Su R, Zhou B, Yang W, Lei Y, Huang B.
    Clin Radiol; 2024 May 12; 79(5):e682-e691. PubMed ID: 38402087
    [Abstract] [Full Text] [Related]

  • 38. The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma.
    Liang HX, Wang ZY, Li Y, Ren AN, Chen ZF, Wang XZ, Wang XM, Yuan ZG.
    BMC Med Imaging; 2024 Sep 16; 24(1):244. PubMed ID: 39285364
    [Abstract] [Full Text] [Related]

  • 39. MRI Features and IDH Mutational Status of Grade II Diffuse Gliomas: Impact on Diagnosis and Prognosis.
    Villanueva-Meyer JE, Wood MD, Choi BS, Mabray MC, Butowski NA, Tihan T, Cha S.
    AJR Am J Roentgenol; 2018 Mar 16; 210(3):621-628. PubMed ID: 29261348
    [Abstract] [Full Text] [Related]

  • 40. Development and validation of clinical-radiomics analysis for preoperative prediction of IDH mutation status and WHO grade in diffuse gliomas: a consecutive L-[methyl-11C] methionine cohort study with two PET scanners.
    Zhou W, Wen J, Huang Q, Zeng Y, Zhou Z, Zhu Y, Chen L, Guan Y, Xie F, Zhuang D, Hua T.
    Eur J Nucl Med Mol Imaging; 2024 Apr 16; 51(5):1423-1435. PubMed ID: 38110710
    [Abstract] [Full Text] [Related]

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