194 related articles for article (PubMed ID: 32749203)
1. Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach.
Choi KS; You SH; Han Y; Ye JC; Jeong B; Choi SH
Radiology; 2020 Oct; 297(1):178-188. PubMed ID: 32749203
[TBL] [Abstract][Full Text] [Related]
2. Differentiation of High-Grade from Low-Grade Astrocytoma: Improvement in Diagnostic Accuracy and Reliability of Pharmacokinetic Parameters from DCE MR Imaging by Using Arterial Input Functions Obtained from DSC MR Imaging.
You SH; Choi SH; Kim TM; Park CK; Park SH; Won JK; Kim IH; Lee ST; Choi HJ; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH
Radiology; 2018 Mar; 286(3):981-991. PubMed ID: 29244617
[TBL] [Abstract][Full Text] [Related]
3. Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI.
Kang KM; Choi SH; Chul-Kee P; Kim TM; Park SH; Lee JH; Lee ST; Hwang I; Yoo RE; Yun TJ; Kim JH; Sohn CH
Eur Radiol; 2021 Dec; 31(12):9098-9109. PubMed ID: 34003350
[TBL] [Abstract][Full Text] [Related]
4. Effects of artery input function on dynamic contrast-enhanced MRI for determining grades of gliomas.
Jia L; Wu X; Wan Q; Wan L; Jia W; Zhang N
Br J Radiol; 2021 Mar; 94(1119):20200699. PubMed ID: 33332981
[TBL] [Abstract][Full Text] [Related]
5. A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.
Fedorov A; Fluckiger J; Ayers GD; Li X; Gupta SN; Tempany C; Mulkern R; Yankeelov TE; Fennessy FM
Magn Reson Imaging; 2014 May; 32(4):321-9. PubMed ID: 24560287
[TBL] [Abstract][Full Text] [Related]
6. Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.
Mazaheri Y; Kim N; Lakhman Y; Jafari R; Vargas A; Otazo R
NMR Biomed; 2022 Jul; 35(7):e4718. PubMed ID: 35226774
[TBL] [Abstract][Full Text] [Related]
7. Dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging for glioma grading: Preliminary comparison of vessel compartment and permeability parameters using hotspot and histogram analysis.
Santarosa C; Castellano A; Conte GM; Cadioli M; Iadanza A; Terreni MR; Franzin A; Bello L; Caulo M; Falini A; Anzalone N
Eur J Radiol; 2016 Jun; 85(6):1147-56. PubMed ID: 27161065
[TBL] [Abstract][Full Text] [Related]
8. Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions.
Rata M; Collins DJ; Darcy J; Messiou C; Tunariu N; Desouza N; Young H; Leach MO; Orton MR
Eur Radiol; 2016 Jul; 26(7):1991-8. PubMed ID: 26385804
[TBL] [Abstract][Full Text] [Related]
9. Comparison of the Diagnostic Accuracy of DSC- and Dynamic Contrast-Enhanced MRI in the Preoperative Grading of Astrocytomas.
Nguyen TB; Cron GO; Perdrizet K; Bezzina K; Torres CH; Chakraborty S; Woulfe J; Jansen GH; Sinclair J; Thornhill RE; Foottit C; Zanette B; Cameron IG
AJNR Am J Neuroradiol; 2015 Nov; 36(11):2017-22. PubMed ID: 26228886
[TBL] [Abstract][Full Text] [Related]
10. Pharmacokinetic analysis of prostate cancer using independent component analysis.
Mehrabian H; Da Rosa M; Haider MA; Martel AL
Magn Reson Imaging; 2015 Dec; 33(10):1236-1245. PubMed ID: 26297961
[TBL] [Abstract][Full Text] [Related]
11. Repeatability of arterial input functions and kinetic parameters in muscle obtained by dynamic contrast enhanced MR imaging of the head and neck.
Koopman T; Martens RM; Lavini C; Yaqub M; Castelijns JA; Boellaard R; Marcus JT
Magn Reson Imaging; 2020 May; 68():1-8. PubMed ID: 31978517
[TBL] [Abstract][Full Text] [Related]
12. Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validation.
Fennessy FM; Fedorov A; Penzkofer T; Kim KW; Hirsch MS; Vangel MG; Masry P; Flood TA; Chang MC; Tempany CM; Mulkern RV; Gupta SN
Magn Reson Imaging; 2015 Sep; 33(7):886-94. PubMed ID: 25683515
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Improved reliability of perfusion estimation in dynamic susceptibility contrast MRI by using the arterial input function from dynamic contrast enhanced MRI.
Tseng CH; Jaspers J; Romero AM; Wielopolski P; Smits M; van Osch MJP; Vos F
NMR Biomed; 2024 Jan; 37(1):e5038. PubMed ID: 37712359
[TBL] [Abstract][Full Text] [Related]
15. Impact of arterial input function selection on the accuracy of dynamic contrast-enhanced MRI quantitative analysis for the diagnosis of clinically significant prostate cancer.
Azahaf M; Haberlay M; Betrouni N; Ernst O; Behal H; Duhamel A; Ouzzane A; Puech P
J Magn Reson Imaging; 2016 Mar; 43(3):737-49. PubMed ID: 26303794
[TBL] [Abstract][Full Text] [Related]
16. Differentiation of grade II and III oligodendrogliomas from grade II and III astrocytomas: a histogram analysis of perfusion parameters derived from dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) MRI.
Lee JY; Ahn KJ; Lee YS; Jang JH; Jung SL; Kim BS
Acta Radiol; 2018 Jun; 59(6):723-731. PubMed ID: 28862024
[TBL] [Abstract][Full Text] [Related]
17. Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI.
Keil VC; Mädler B; Gieseke J; Fimmers R; Hattingen E; Schild HH; Hadizadeh DR
Magn Reson Imaging; 2017 Jul; 40():83-90. PubMed ID: 28438713
[TBL] [Abstract][Full Text] [Related]
18. Brain Gliomas: Multicenter Standardized Assessment of Dynamic Contrast-enhanced and Dynamic Susceptibility Contrast MR Images.
Anzalone N; Castellano A; Cadioli M; Conte GM; Cuccarini V; Bizzi A; Grimaldi M; Costa A; Grillea G; Vitali P; Aquino D; Terreni MR; Torri V; Erickson BJ; Caulo M
Radiology; 2018 Jun; 287(3):933-943. PubMed ID: 29361245
[TBL] [Abstract][Full Text] [Related]
19. Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.
Mendichovszky IA; Cutajar M; Gordon I
Eur J Radiol; 2009 Sep; 71(3):576-81. PubMed ID: 19004588
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive population-averaged arterial input function for dynamic contrast-enhanced vmagnetic resonance imaging of head and neck cancer.
Onxley JD; Yoo DS; Muradyan N; MacFall JR; Brizel DM; Craciunescu OI
Int J Radiat Oncol Biol Phys; 2014 Jul; 89(3):658-65. PubMed ID: 24929169
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
