299 related articles for article (PubMed ID: 37064376)
1. Using radiomics based on multicenter magnetic resonance images to predict isocitrate dehydrogenase mutation status of gliomas.
Liu Y; Zheng Z; Wang Z; Qian X; Yao Z; Cheng C; Zhou Z; Gao F; Dai Y
Quant Imaging Med Surg; 2023 Apr; 13(4):2143-2155. PubMed ID: 37064376
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Comparison of MRI Sequences to Predict
Kasap DNG; Mora NGN; Blömer DA; Akkurt BH; Heindel WL; Mannil M; Musigmann M
Biomedicines; 2024 Mar; 12(4):. PubMed ID: 38672080
[TBL] [Abstract][Full Text] [Related]
6. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
7. Deep-learning and conventional radiomics to predict
Zhang H; Fan X; Zhang J; Wei Z; Feng W; Hu Y; Ni J; Yao F; Zhou G; Wan C; Zhang X; Wang J; Liu Y; You Y; Yu Y
Front Oncol; 2023; 13():1143688. PubMed ID: 37711207
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
Zhang X; Tian Q; Wang L; Liu Y; Li B; Liang Z; Gao P; Zheng K; Zhao B; Lu H
J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
[TBL] [Abstract][Full Text] [Related]
10. Predicting IDH subtype of grade 4 astrocytoma and glioblastoma from tumor radiomic patterns extracted from multiparametric magnetic resonance images using a machine learning approach.
Kandalgaonkar P; Sahu A; Saju AC; Joshi A; Mahajan A; Thakur M; Sahay A; Epari S; Sinha S; Dasgupta A; Chatterjee A; Shetty P; Moiyadi A; Agarwal J; Gupta T; Goda JS
Front Oncol; 2022; 12():879376. PubMed ID: 36276136
[TBL] [Abstract][Full Text] [Related]
11. Enhancing predictability of IDH mutation status in glioma patients at initial diagnosis: a comparative analysis of radiomics from MRI, [
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; 51(8):2371-2381. PubMed ID: 38396261
[TBL] [Abstract][Full Text] [Related]
12. Prediction of the Molecular Subtype of IDH Mutation Combined with MGMT Promoter Methylation in Gliomas via Radiomics Based on Preoperative MRI.
Sha Y; Yan Q; Tan Y; Wang X; Zhang H; Yang G
Cancers (Basel); 2023 Feb; 15(5):. PubMed ID: 36900232
[TBL] [Abstract][Full Text] [Related]
13. Improving Noninvasive Classification of Molecular Subtypes of Adult Gliomas With Diffusion-Weighted MR Imaging: An Externally Validated Machine Learning Algorithm.
Guo Y; Ma Z; Pei D; Duan W; Guo Y; Liu Z; Guan F; Wang Z; Xing A; Guo Z; Luo L; Wang W; Yu B; Zhou J; Ji Y; Yan D; Cheng J; Liu X; Yan J; Zhang Z
J Magn Reson Imaging; 2023 Oct; 58(4):1234-1242. PubMed ID: 36727433
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Automated machine learning to predict the co-occurrence of isocitrate dehydrogenase mutations and O
Zhang S; Sun H; Su X; Yang X; Wang W; Wan X; Tan Q; Chen N; Yue Q; Gong Q
J Magn Reson Imaging; 2021 Jul; 54(1):197-205. PubMed ID: 33393131
[TBL] [Abstract][Full Text] [Related]
16. Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics.
Choi YS; Bae S; Chang JH; Kang SG; Kim SH; Kim J; Rim TH; Choi SH; Jain R; Lee SK
Neuro Oncol; 2021 Feb; 23(2):304-313. PubMed ID: 32706862
[TBL] [Abstract][Full Text] [Related]
17. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
18. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
19. Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data.
Ni J; Zhang H; Yang Q; Fan X; Xu J; Sun J; Zhang J; Hu Y; Xiao Z; Zhao Y; Zhu H; Shi X; Feng W; Wang J; Wan C; Zhang X; Liu Y; You Y; Yu Y
Acad Radiol; 2024 Mar; ():. PubMed ID: 38458887
[TBL] [Abstract][Full Text] [Related]
20. Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low-Grade Gliomas Using Multiparametric MR Radiomic Features.
Ren Y; Zhang X; Rui W; Pang H; Qiu T; Wang J; Xie Q; Jin T; Zhang H; Chen H; Zhang Y; Lu H; Yao Z; Zhang J; Feng X
J Magn Reson Imaging; 2019 Mar; 49(3):808-817. PubMed ID: 30194745
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
