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.
182 related articles for article (PubMed ID: 38402087)
1. 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 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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; 51(5):1423-1435. PubMed ID: 38110710 [TBL] [Abstract][Full Text] [Related]
4. Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI. Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Lei Y; Huang B J Magn Reson Imaging; 2023 Nov; 58(5):1441-1451. PubMed ID: 36896953 [TBL] [Abstract][Full Text] [Related]
5. Two-Stage Training Framework Using Multicontrast MRI Radiomics for 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 [TBL] [Abstract][Full Text] [Related]
6. 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 [TBL] [Abstract][Full Text] [Related]
7. 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 [TBL] [Abstract][Full Text] [Related]
8. Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status. Park YW; Kim S; Park CJ; Ahn SS; Han K; Kang SG; Chang JH; Kim SH; Lee SK Eur Radiol; 2022 Dec; 32(12):8089-8098. PubMed ID: 35763095 [TBL] [Abstract][Full Text] [Related]
9. Multimodal MRI-based radiomic nomogram for predicting telomerase reverse transcriptase promoter mutation in IDH-wildtype histological lower-grade gliomas. Huo X; Wang Y; Ma S; Zhu S; Wang K; Ji Q; Chen F; Wang L; Wu Z; Li W Medicine (Baltimore); 2023 Dec; 102(51):e36581. PubMed ID: 38134061 [TBL] [Abstract][Full Text] [Related]
10. Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomas. Jiang C; Kong Z; Zhang Y; Liu S; Liu Z; Chen W; Liu P; Liu D; Wang Y; Lyu Y; Zhao D; Wang Y; You H; Feng F; Ma W Neuroradiology; 2020 Jul; 62(7):803-813. PubMed ID: 32239241 [TBL] [Abstract][Full Text] [Related]
11. Multiparametric MRI-based fusion radiomics for predicting telomerase reverse transcriptase (TERT) promoter mutations and progression-free survival in glioblastoma: a multicentre study. Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Yang W; Lei Y; Huang B Neuroradiology; 2024 Jan; 66(1):81-92. PubMed ID: 37978079 [TBL] [Abstract][Full Text] [Related]
12. Noninvasive Prediction of TERT Promoter Mutations in High-Grade Glioma by Radiomics Analysis Based on Multiparameter MRI. Tian H; Wu H; Wu G; Xu G Biomed Res Int; 2020; 2020():3872314. PubMed ID: 32509858 [TBL] [Abstract][Full Text] [Related]
13. 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; 24(1):104. PubMed ID: 38702613 [TBL] [Abstract][Full Text] [Related]
14. Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas. Arita H; Kinoshita M; Kawaguchi A; Takahashi M; Narita Y; Terakawa Y; Tsuyuguchi N; Okita Y; Nonaka M; Moriuchi S; Takagaki M; Fujimoto Y; Fukai J; Izumoto S; Ishibashi K; Nakajima Y; Shofuda T; Kanematsu D; Yoshioka E; Kodama Y; Mano M; Mori K; Ichimura K; Kanemura Y Sci Rep; 2018 Aug; 8(1):11773. PubMed ID: 30082856 [TBL] [Abstract][Full Text] [Related]
15. Radiomic study on preoperative multi-modal magnetic resonance images identifies IDH-mutant TERT promoter-mutant gliomas. Wang H; Zhang S; Xing X; Yue Q; Feng W; Chen S; Zhang J; Xie D; Chen N; Liu Y Cancer Med; 2023 Feb; 12(3):2524-2537. PubMed ID: 36176070 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas. Zhou H; Chang K; Bai HX; Xiao B; Su C; Bi WL; Zhang PJ; Senders JT; Vallières M; Kavouridis VK; Boaro A; Arnaout O; Yang L; Huang RY J Neurooncol; 2019 Apr; 142(2):299-307. PubMed ID: 30661193 [TBL] [Abstract][Full Text] [Related]
18. A radiomics feature-based nomogram to predict telomerase reverse transcriptase promoter mutation status and the prognosis of lower-grade gliomas. Lu J; Li X; Li H Clin Radiol; 2022 Aug; 77(8):e560-e567. PubMed ID: 35595562 [TBL] [Abstract][Full Text] [Related]
19. 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; 24(1):244. PubMed ID: 39285364 [TBL] [Abstract][Full Text] [Related]
20. TERT promoter mutations contribute to IDH mutations in predicting differential responses to adjuvant therapies in WHO grade II and III diffuse gliomas. Zhang ZY; Chan AK; Ding XJ; Qin ZY; Hong CS; Chen LC; Zhang X; Zhao FP; Wang Y; Wang Y; Zhou LF; Zhuang Z; Ng HK; Yan H; Yao Y; Mao Y Oncotarget; 2015 Sep; 6(28):24871-83. PubMed ID: 26314843 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]