190 related articles for article (PubMed ID: 29412496)
1. Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI.
Fathi Kazerooni A; Nabil M; Zeinali Zadeh M; Firouznia K; Azmoudeh-Ardalan F; Frangi AF; Davatzikos C; Saligheh Rad H
J Magn Reson Imaging; 2018 Oct; 48(4):938-950. PubMed ID: 29412496
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Glioma grading using a machine-learning framework based on optimized features obtained from T
Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
[TBL] [Abstract][Full Text] [Related]
4. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
[TBL] [Abstract][Full Text] [Related]
5. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I
Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
[TBL] [Abstract][Full Text] [Related]
6. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.
Sengupta A; Agarwal S; Gupta PK; Ahlawat S; Patir R; Gupta RK; Singh A
Eur J Radiol; 2018 Sep; 106():199-208. PubMed ID: 30150045
[TBL] [Abstract][Full Text] [Related]
7. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
[TBL] [Abstract][Full Text] [Related]
10. Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach.
Romeo V; Maurea S; Cuocolo R; Petretta M; Mainenti PP; Verde F; Coppola M; Dell'Aversana S; Brunetti A
J Magn Reson Imaging; 2018 Jul; 48(1):198-204. PubMed ID: 29341325
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?
Weber MA; Henze M; Tüttenberg J; Stieltjes B; Meissner M; Zimmer F; Burkholder I; Kroll A; Combs SE; Vogt-Schaden M; Giesel FL; Zoubaa S; Haberkorn U; Kauczor HU; Essig M
Invest Radiol; 2010 Dec; 45(12):755-68. PubMed ID: 20829706
[TBL] [Abstract][Full Text] [Related]
13. Prospective comparative diagnostic accuracy evaluation of dynamic contrast-enhanced (DCE) vs. dynamic susceptibility contrast (DSC) MR perfusion in differentiating tumor recurrence from radiation necrosis in treated high-grade gliomas.
Zakhari N; Taccone MS; Torres CH; Chakraborty S; Sinclair J; Woulfe J; Jansen GH; Cron GO; Thornhill RE; McInnes MDF; Nguyen TB
J Magn Reson Imaging; 2019 Aug; 50(2):573-582. PubMed ID: 30614146
[TBL] [Abstract][Full Text] [Related]
14. Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma.
Bhattacharjee R; Gupta RK; Patir R; Vaishya S; Ahlawat S; Singh A
J Magn Reson Imaging; 2020 Jan; 51(1):225-233. PubMed ID: 31087724
[TBL] [Abstract][Full Text] [Related]
15. Advanced and amplified BOLD fluctuations in high-grade gliomas.
Gupta L; Gupta RK; Postma AA; Sahoo P; Gupta PK; Patir R; Ahlawat S; Saha I; Backes WH
J Magn Reson Imaging; 2018 Jun; 47(6):1616-1625. PubMed ID: 28963852
[TBL] [Abstract][Full Text] [Related]
16. Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign.
Lee MK; Park JE; Jo Y; Park SY; Kim SJ; Kim HS
Eur Radiol; 2020 Feb; 30(2):844-854. PubMed ID: 31446467
[TBL] [Abstract][Full Text] [Related]
17. Association of Glioma Grading With Inflow-Based Vascular-Space-Occupancy MRI: A Preliminary Study at 3T.
Li X; Liao S; Hua J; Guo L; Wang D; Xiao X; Zhou J; Liu X; Tan Y; Lu L; Xu Y; Wu Y
J Magn Reson Imaging; 2019 Dec; 50(6):1817-1823. PubMed ID: 30932289
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
Yang Y; Yan LF; Zhang X; Nan HY; Hu YC; Han Y; Zhang J; Liu ZC; Sun YZ; Tian Q; Yu Y; Sun Q; Wang SY; Zhang X; Wang W; Cui GB
J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
[TBL] [Abstract][Full Text] [Related]
20. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]