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Journal Abstract Search

188 related items for PubMed ID: 38110710

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  • 3. 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; 104():72-79. PubMed ID: 37778708
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  • 4. 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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  • 5. 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; 79(5):e682-e691. PubMed ID: 38402087
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  • 6. Prediction of TERTp-mutation status in IDH-wildtype high-grade gliomas using pre-treatment dynamic [18F]FET PET radiomics.
    Li Z, Kaiser L, Holzgreve A, Ruf VC, Suchorska B, Wenter V, Quach S, Herms J, Bartenstein P, Tonn JC, Unterrainer M, Albert NL.
    Eur J Nucl Med Mol Imaging; 2021 Dec; 48(13):4415-4425. PubMed ID: 34490493
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  • 8. Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach.
    Yuan J, Siakallis L, Li HB, Brandner S, Zhang J, Li C, Mancini L, Bisdas S.
    BMC Med Imaging; 2024 May 03; 24(1):104. PubMed ID: 38702613
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  • 10. 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 03; 6(4):e230218. PubMed ID: 38775670
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  • 11. Individualized discrimination of tumor progression from treatment-related changes in different types of adult-type diffuse gliomas using [11C]methionine PET.
    Chen Q, Wang K, Ren X, Zhao X, Chen Q, Fan D, Zhang S, Li X, Ai L.
    J Neurooncol; 2023 Dec 03; 165(3):547-559. PubMed ID: 38095773
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  • 14. Enhancing predictability of IDH mutation status in glioma patients at initial diagnosis: a comparative analysis of radiomics from MRI, [18F]FET PET, and TSPO PET.
    Kaiser L, Quach S, Zounek AJ, Wiestler B, Zatcepin A, Holzgreve A, Bollenbacher A, Bartos LM, Ruf VC, Böning G, Thon N, Herms J, Riemenschneider MJ, Stöcklein S, Brendel M, Rupprecht R, Tonn JC, Bartenstein P, von Baumgarten L, Ziegler S, Albert NL.
    Eur J Nucl Med Mol Imaging; 2024 Jul 03; 51(8):2371-2381. PubMed ID: 38396261
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  • 17. Multicenter clinical radiomics-integrated model based on [18F]FDG PET and multi-modal MRI predict ATRX mutation status in IDH-mutant lower-grade gliomas.
    Zhang L, Pan H, Liu Z, Gao J, Xu X, Wang L, Wang J, Tang Y, Cao X, Kan Y, Wen Z, Chen J, Huang D, Chen S, Li Y.
    Eur Radiol; 2023 Feb 03; 33(2):872-883. PubMed ID: 35984514
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  • 18. A nomogram strategy for identifying the subclassification of IDH mutation and ATRX expression loss in lower-grade gliomas.
    Wu S, Zhang X, Rui W, Sheng Y, Yu Y, Zhang Y, Yao Z, Qiu T, Ren Y.
    Eur Radiol; 2022 May 03; 32(5):3187-3198. PubMed ID: 35133485
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  • 19. Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status.
    Song S, Wang L, Yang H, Shan Y, Cheng Y, Xu L, Dong C, Zhao G, Lu J.
    Eur Radiol; 2021 Jun 03; 31(6):4087-4096. PubMed ID: 33211141
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  • 20. Hybrid 11C-MET PET/MRI Combined With "Machine Learning" in Glioma Diagnosis According to the Revised Glioma WHO Classification 2016.
    Kebir S, Weber M, Lazaridis L, Deuschl C, Schmidt T, Mönninghoff C, Keyvani K, Umutlu L, Pierscianek D, Forsting M, Sure U, Stuschke M, Kleinschnitz C, Scheffler B, Colletti PM, Rubello D, Rischpler C, Glas M.
    Clin Nucl Med; 2019 Mar 03; 44(3):214-220. PubMed ID: 30516675
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