304 related articles for article (PubMed ID: 29175980)
1. Glioma Survival Prediction with Combined Analysis of In Vivo
Papp L; Pötsch N; Grahovac M; Schmidbauer V; Woehrer A; Preusser M; Mitterhauser M; Kiesel B; Wadsak W; Beyer T; Hacker M; Traub-Weidinger T
J Nucl Med; 2018 Jun; 59(6):892-899. PubMed ID: 29175980
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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; 44(3):214-220. PubMed ID: 30516675
[TBL] [Abstract][Full Text] [Related]
4. Visual and semiquantitative 11C-methionine PET: an independent prognostic factor for survival of newly diagnosed and treatment-naïve gliomas.
Poetsch N; Woehrer A; Gesperger J; Furtner J; Haug AR; Wilhelm D; Widhalm G; Karanikas G; Weber M; Rausch I; Mitterhauser M; Wadsak W; Hacker M; Preusser M; Traub-Weidinger T
Neuro Oncol; 2018 Feb; 20(3):411-419. PubMed ID: 29016947
[TBL] [Abstract][Full Text] [Related]
5. Prognostic Value of O-(2-[18F]-Fluoroethyl)-L-Tyrosine-Positron Emission Tomography Imaging for Histopathologic Characteristics and Progression-Free Survival in Patients with Low-Grade Glioma.
Bette S; Gempt J; Delbridge C; Kirschke JS; Schlegel J; Foerster S; Huber T; Pyka T; Zimmer C; Meyer B; Ringel F
World Neurosurg; 2016 May; 89():230-9. PubMed ID: 26855307
[TBL] [Abstract][Full Text] [Related]
6. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
[TBL] [Abstract][Full Text] [Related]
7. Surgical target selection in cerebral glioma surgery: linking methionine (MET) PET image fusion and neuronavigation.
Roessler K; Gatterbauer B; Becherer A; Paul M; Kletter K; Prayer D; Hoeftberger R; Hainfellner J; Asenbaum S; Knosp E
Minim Invasive Neurosurg; 2007 Oct; 50(5):273-80. PubMed ID: 18058643
[TBL] [Abstract][Full Text] [Related]
8. Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas.
Pyka T; Gempt J; Hiob D; Ringel F; Schlegel J; Bette S; Wester HJ; Meyer B; Förster S
Eur J Nucl Med Mol Imaging; 2016 Jan; 43(1):133-141. PubMed ID: 26219871
[TBL] [Abstract][Full Text] [Related]
9. Optimization of semi-quantification in metabolic PET studies with 18F-fluorodeoxyglucose and 11C-methionine in the determination of malignancy of gliomas.
Borbély K; Nyáry I; Tóth M; Ericson K; Gulyás B
J Neurol Sci; 2006 Jul; 246(1-2):85-94. PubMed ID: 16603193
[TBL] [Abstract][Full Text] [Related]
10. Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.
Russo G; Stefano A; Alongi P; Comelli A; Catalfamo B; Mantarro C; Longo C; Altieri R; Certo F; Cosentino S; Sabini MG; Richiusa S; Barbagallo GMV; Ippolito M
Curr Oncol; 2021 Dec; 28(6):5318-5331. PubMed ID: 34940083
[TBL] [Abstract][Full Text] [Related]
11. Usefulness of L-[methyl-11C] methionine-positron emission tomography as a biological monitoring tool in the treatment of glioma.
Nariai T; Tanaka Y; Wakimoto H; Aoyagi M; Tamaki M; Ishiwata K; Senda M; Ishii K; Hirakawa K; Ohno K
J Neurosurg; 2005 Sep; 103(3):498-507. PubMed ID: 16235683
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Role of [(11)C] methionine positron emission tomography in the diagnosis and prediction of survival in brain tumours.
Cicuendez M; Lorenzo-Bosquet C; Cuberas-Borrós G; Martinez-Ricarte F; Cordero E; Martinez-Saez E; Castell-Conesa J; Sahuquillo J
Clin Neurol Neurosurg; 2015 Dec; 139():328-33. PubMed ID: 26588352
[TBL] [Abstract][Full Text] [Related]
14. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.
Kocher M; Ruge MI; Galldiks N; Lohmann P
Strahlenther Onkol; 2020 Oct; 196(10):856-867. PubMed ID: 32394100
[TBL] [Abstract][Full Text] [Related]
15. Glioma grading by dynamic susceptibility contrast perfusion and
Brendle C; Hempel JM; Schittenhelm J; Skardelly M; Reischl G; Bender B; Ernemann U; la Fougère C; Klose U
Neuroradiology; 2018 Apr; 60(4):381-389. PubMed ID: 29464269
[TBL] [Abstract][Full Text] [Related]
16. Spatial distribution of malignant tissue in gliomas: correlations of 11C-L-methionine positron emission tomography and perfusion- and diffusion-weighted magnetic resonance imaging.
Tietze A; Boldsen JK; Mouridsen K; Ribe L; Dyve S; Cortnum S; Østergaard L; Borghammer P
Acta Radiol; 2015 Sep; 56(9):1135-44. PubMed ID: 25270372
[TBL] [Abstract][Full Text] [Related]
17. Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas.
Wu S; Meng J; Yu Q; Li P; Fu S
J Cancer Res Clin Oncol; 2019 Mar; 145(3):543-550. PubMed ID: 30719536
[TBL] [Abstract][Full Text] [Related]
18. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.
Li Y; Qian Z; Xu K; Wang K; Fan X; Li S; Jiang T; Liu X; Wang Y
Neuroimage Clin; 2018; 17():306-311. PubMed ID: 29527478
[TBL] [Abstract][Full Text] [Related]
19. L-(methyl-11C) methionine positron emission tomography for target delineation in resected high-grade gliomas before radiotherapy.
Grosu AL; Weber WA; Riedel E; Jeremic B; Nieder C; Franz M; Gumprecht H; Jaeger R; Schwaiger M; Molls M
Int J Radiat Oncol Biol Phys; 2005 Sep; 63(1):64-74. PubMed ID: 16111573
[TBL] [Abstract][Full Text] [Related]
20. Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
Grahovac M; Spielvogel CP; Krajnc D; Ecsedi B; Traub-Weidinger T; Rasul S; Kluge K; Zhao M; Li X; Hacker M; Haug A; Papp L
Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1607-1620. PubMed ID: 36738311
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
