175 related articles for article (PubMed ID: 31392385)
1. Reliability of dynamic contrast-enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models.
Inglese M; Ordidge KL; Honeyfield L; Barwick TD; Aboagye EO; Waldman AD; Grech-Sollars M
Neuroradiology; 2019 Dec; 61(12):1375-1386. PubMed ID: 31392385
[TBL] [Abstract][Full Text] [Related]
2. DCE-MRI of the prostate using shutter-speed vs. Tofts model for tumor characterization and assessment of aggressiveness.
Hectors SJ; Besa C; Wagner M; Jajamovich GH; Haines GK; Lewis S; Tewari A; Rastinehad A; Huang W; Taouli B
J Magn Reson Imaging; 2017 Sep; 46(3):837-849. PubMed ID: 28092414
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of dynamic contrast-enhanced MRI biomarkers for stratified cancer medicine: How do permeability and perfusion vary between human tumours?
Little RA; Barjat H; Hare JI; Jenner M; Watson Y; Cheung S; Holliday K; Zhang W; O'Connor JPB; Barry ST; Puri S; Parker GJM; Waterton JC
Magn Reson Imaging; 2018 Feb; 46():98-105. PubMed ID: 29154898
[TBL] [Abstract][Full Text] [Related]
4. On the scope and interpretation of the Tofts models for DCE-MRI.
Sourbron SP; Buckley DL
Magn Reson Med; 2011 Sep; 66(3):735-45. PubMed ID: 21384424
[TBL] [Abstract][Full Text] [Related]
5. Are complex DCE-MRI models supported by clinical data?
Duan C; Kallehauge JF; Bretthorst GL; Tanderup K; Ackerman JJ; Garbow JR
Magn Reson Med; 2017 Mar; 77(3):1329-1339. PubMed ID: 26946317
[TBL] [Abstract][Full Text] [Related]
6. Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading.
Xie T; Chen X; Fang J; Kang H; Xue W; Tong H; Cao P; Wang S; Yang Y; Zhang W
J Magn Reson Imaging; 2018 Apr; 47(4):1099-1111. PubMed ID: 28845594
[TBL] [Abstract][Full Text] [Related]
7. Spatially regularized estimation of the tissue homogeneity model parameters in DCE-MRI using proximal minimization.
Bartoš M; Rajmic P; Šorel M; Mangová M; Keunen O; Jiřík R
Magn Reson Med; 2019 Dec; 82(6):2257-2272. PubMed ID: 31317577
[TBL] [Abstract][Full Text] [Related]
8. Tracer kinetic model selection for dynamic contrast-enhanced magnetic resonance imaging of locally advanced cervical cancer.
Kallehauge JF; Tanderup K; Duan C; Haack S; Pedersen EM; Lindegaard JC; Fokdal LU; Mohamed SM; Nielsen T
Acta Oncol; 2014 Aug; 53(8):1064-72. PubMed ID: 25034348
[TBL] [Abstract][Full Text] [Related]
9. Computer-aided diagnosis of prostate cancer using multi-parametric MRI: comparison between PUN and Tofts models.
Mazzetti S; Giannini V; Russo F; Regge D
Phys Med Biol; 2018 May; 63(9):095004. PubMed ID: 29570456
[TBL] [Abstract][Full Text] [Related]
10. Assessment of DCE-MRI parameters for brain tumors through implementation of physiologically-based pharmacokinetic model approaches for Gd-DOTA.
Spanakis M; Kontopodis E; Van Cauter S; Sakkalis V; Marias K
J Pharmacokinet Pharmacodyn; 2016 Oct; 43(5):529-47. PubMed ID: 27647272
[TBL] [Abstract][Full Text] [Related]
11. Impact of Arterial Input Function and Pharmacokinetic Models on DCE-MRI Biomarkers for Detection of Vascular Effect Induced by Stroma-Directed Drug in an Orthotopic Mouse Model of Pancreatic Cancer.
Cao J; Pickup S; Rosen M; Zhou R
Mol Imaging Biol; 2023 Aug; 25(4):638-647. PubMed ID: 37166575
[TBL] [Abstract][Full Text] [Related]
12. DCE-MRI of hepatocellular carcinoma: perfusion quantification with Tofts model versus shutter-speed model--initial experience.
Jajamovich GH; Huang W; Besa C; Li X; Afzal A; Dyvorne HA; Taouli B
MAGMA; 2016 Feb; 29(1):49-58. PubMed ID: 26646522
[TBL] [Abstract][Full Text] [Related]
13. Dynamic contrast-enhanced MRI: Study of inter-software accuracy and reproducibility using simulated and clinical data.
Beuzit L; Eliat PA; Brun V; Ferré JC; Gandon Y; Bannier E; Saint-Jalmes H
J Magn Reson Imaging; 2016 Jun; 43(6):1288-300. PubMed ID: 26687041
[TBL] [Abstract][Full Text] [Related]
14. Robust and efficient pharmacokinetic parameter non-linear least squares estimation for dynamic contrast enhanced MRI of the prostate.
Kargar S; Borisch EA; Froemming AT; Kawashima A; Mynderse LA; Stinson EG; Trzasko JD; Riederer SJ
Magn Reson Imaging; 2018 May; 48():50-61. PubMed ID: 29278764
[TBL] [Abstract][Full Text] [Related]
15. Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI.
Artzi M; Liberman G; Nadav G; Blumenthal DT; Bokstein F; Aizenstein O; Ben Bashat D
J Neurooncol; 2016 May; 127(3):515-24. PubMed ID: 26754857
[TBL] [Abstract][Full Text] [Related]
16. Optimization of DCE-MRI protocol for the assessment of patients with brain tumors.
Artzi M; Liberman G; Nadav G; Blumenthal DT; Bokstein F; Aizenstein O; Ben Bashat D
Magn Reson Imaging; 2016 Nov; 34(9):1242-1247. PubMed ID: 27451404
[TBL] [Abstract][Full Text] [Related]
17. Tracer kinetic model selection for dynamic contrast-enhanced computed tomography imaging of prostate cancer.
Korporaal JG; van Vulpen M; van den Berg CA; van der Heide UA
Invest Radiol; 2012 Jan; 47(1):41-8. PubMed ID: 21610505
[TBL] [Abstract][Full Text] [Related]
18. Optimization of two-compartment-exchange-model analysis for dynamic contrast-enhanced mri incorporating bolus arrival time.
Nadav G; Liberman G; Artzi M; Kiryati N; Bashat DB
J Magn Reson Imaging; 2017 Jan; 45(1):237-249. PubMed ID: 27383624
[TBL] [Abstract][Full Text] [Related]
19. Assessment of vessel permeability by combining dynamic contrast-enhanced and arterial spin labeling MRI.
Liu HL; Chang TT; Yan FX; Li CH; Lin YS; Wong AM
NMR Biomed; 2015 Jun; 28(6):642-9. PubMed ID: 25880892
[TBL] [Abstract][Full Text] [Related]
20. Unified platform for multimodal voxel-based analysis to evaluate tumour perfusion and diffusion characteristics before and after radiation treatment evaluated in metastatic brain cancer.
Coolens C; Driscoll B; Foltz W; Svistoun I; Sinno N; Chung C
Br J Radiol; 2019 Apr; 92(1096):20170461. PubMed ID: 30235004
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
