189 related articles for article (PubMed ID: 36681946)
1. Development and validation of a machine learning algorithm for predicting diffuse midline glioma, H3 K27-altered, H3 K27 wild-type high-grade glioma, and primary CNS lymphoma of the brain midline in adults.
Lv K; Chen H; Cao X; Du P; Chen J; Liu X; Zhu L; Geng D; Zhang J
J Neurosurg; 2023 Aug; 139(2):393-401. PubMed ID: 36681946
[TBL] [Abstract][Full Text] [Related]
2. Distinct MRI characteristics of spinal cord diffuse midline glioma, H3 K27-altered in comparison to spinal cord glioma without H3 K27-alteration and demyelination disorder.
Ying Y; Liu X; Li X; Mei N; Ruan Z; Lu Y; Yin B
Acta Radiol; 2024 Mar; 65(3):284-293. PubMed ID: 38115811
[TBL] [Abstract][Full Text] [Related]
3. Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR Images.
Li J; Wang Y; Weng J; Qu L; Wu M; Guo M; Sun J; Hu G; Gong X; Liu X; Duan Y; Zhuo Z; Jia W; Liu Y
AJNR Am J Neuroradiol; 2023 Dec; 44(12):1464-1470. PubMed ID: 38081676
[TBL] [Abstract][Full Text] [Related]
4. Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain.
Su X; Chen N; Sun H; Liu Y; Yang X; Wang W; Zhang S; Tan Q; Su J; Gong Q; Yue Q
Neuro Oncol; 2020 Mar; 22(3):393-401. PubMed ID: 31563963
[TBL] [Abstract][Full Text] [Related]
5. Clinical, qualitative imaging biomarkers, and tumor oxygenation imaging biomarkers for differentiation of midline-located IDH wild-type glioblastomas and H3 K27-altered diffuse midline gliomas in adults.
Sim Y; Choi SH; Lee N; Park YW; Ahn SS; Chang JH; Kim SH; Lee SK
Eur J Radiol; 2024 Apr; 173():111384. PubMed ID: 38422610
[TBL] [Abstract][Full Text] [Related]
6. Adult diffuse midline gliomas H3 K27-altered: review of a redefined entity.
López-Pérez CA; Franco-Mojica X; Villanueva-Gaona R; Díaz-Alba A; Rodríguez-Florido MA; Navarro VG
J Neurooncol; 2022 Jul; 158(3):369-378. PubMed ID: 35567713
[TBL] [Abstract][Full Text] [Related]
7. Multiparametric MRI-Based Radiomics Model for Predicting H3 K27M Mutant Status in Diffuse Midline Glioma: A Comparative Study Across Different Sequences and Machine Learning Techniques.
Guo W; She D; Xing Z; Lin X; Wang F; Song Y; Cao D
Front Oncol; 2022; 12():796583. PubMed ID: 35311083
[TBL] [Abstract][Full Text] [Related]
8. MRI comparative study of diffuse midline glioma, H3 K27-altered and glioma in the midline without H3 K27-altered.
Zhao JP; Liu XJ; Lin HZ; Cui CX; Yue YJ; Gao S; Xu HZ
BMC Neurol; 2022 Dec; 22(1):498. PubMed ID: 36550486
[TBL] [Abstract][Full Text] [Related]
9. Dynamic susceptibility contrast-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between H3-mutant and H3-wild-type high-grade midline glioma.
Kurokawa R; Kurokawa M; Baba A; Ota Y; Kim J; Capizzano A; Srinivasan A; Moritani T
Eur Radiol; 2022 Jun; 32(6):3672-3682. PubMed ID: 35022811
[TBL] [Abstract][Full Text] [Related]
10. Cortical myelin and thickness mapping provide insights into whole-brain tumor burden in diffuse midline glioma.
Zhang S; Yang X; Tan Q; Sun H; Chen D; Chen Y; Zhang H; Yang Y; Gong Q; Yue Q
Cereb Cortex; 2024 Jan; 34(1):. PubMed ID: 38112602
[TBL] [Abstract][Full Text] [Related]
11. A new subtype of diffuse midline glioma, H3 K27 and BRAF/FGFR1 co-altered: a clinico-radiological and histomolecular characterisation.
Auffret L; Ajlil Y; Tauziède-Espariat A; Kergrohen T; Puiseux C; Riffaud L; Blouin P; Bertozzi AI; Leblond P; Blomgren K; Froelich S; Picca A; Touat M; Sanson M; Beccaria K; Blauwblomme T; Dangouloff-Ros V; Boddaert N; Varlet P; Debily MA; Grill J; Castel D
Acta Neuropathol; 2023 Dec; 147(1):2. PubMed ID: 38066305
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging.
Li J; Zhang P; Qu L; Sun T; Duan Y; Wu M; Weng J; Li Z; Gong X; Liu X; Wang Y; Jia W; Su X; Yue Q; Li J; Zhang Z; Barkhof F; Huang RY; Chang K; Sair H; Ye C; Zhang L; Zhuo Z; Liu Y
J Magn Reson Imaging; 2023 Sep; 58(3):850-861. PubMed ID: 36692205
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Exploring MRI Characteristics of Brain Diffuse Midline Gliomas With the H3 K27M Mutation Using Radiomics.
Li Q; Dong F; Jiang B; Zhang M
Front Oncol; 2021; 11():646267. PubMed ID: 34109112
[TBL] [Abstract][Full Text] [Related]
15. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Pediatric spinal cord diffuse midline glioma, H3 K27-altered with intracranial and spinal leptomeningeal spread: A case report.
Serrallach BL; Tran BH; Bauer DF; Mohila CA; Adesina AM; McGovern SL; Lindsay HB; Huisman TA
Neuroradiol J; 2022 Oct; 35(5):634-639. PubMed ID: 34989626
[TBL] [Abstract][Full Text] [Related]
18. The promise of metabolic imaging in diffuse midline glioma.
Lovibond S; Gewirtz AN; Pasquini L; Krebs S; Graham MS
Neoplasia; 2023 May; 39():100896. PubMed ID: 36944297
[TBL] [Abstract][Full Text] [Related]
19. MRI and Molecular Characterization of Pediatric High-Grade Midline Thalamic Gliomas: The HERBY Phase II Trial.
Rodriguez D; Calmon R; Aliaga ES; Warren D; Warmuth-Metz M; Jones C; Mackay A; Varlet P; Le Deley MC; Hargrave D; Cañete A; Massimino M; Azizi AA; Saran F; Zahlmann G; Garcia J; Vassal G; Grill J; Peet A; Dineen RA; Morgan PS; Jaspan T
Radiology; 2022 Jul; 304(1):174-182. PubMed ID: 35412366
[TBL] [Abstract][Full Text] [Related]
20. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
