Time-resolved angiography with stochastic trajectories for dynamic contrast-enhanced MRI in head and neck cancer: Are pharmacokinetic parameters affected?

被引:2
|
作者
Panek, Rafal [1 ,2 ,3 ]
Schmidt, Maria A. [1 ,2 ,3 ]
Borri, Marco [1 ,2 ,3 ]
Koh, Dow-Mu [2 ,3 ]
Riddell, Angela [3 ]
Welsh, Liam [2 ,3 ]
Dunlop, Alex [2 ,3 ]
Powell, Ceri [2 ]
Bhide, Shreerang A. [2 ,3 ]
Nutting, Christopher M. [2 ,3 ]
Harrington, Kevin J. [2 ,3 ]
Newbold, Kate L. [2 ,3 ]
Leach, Martin O. [1 ,2 ,3 ]
机构
[1] CR UK Canc Imaging Ctr, London SM2 5PT, England
[2] Inst Canc Res, London SM2 5PT, England
[3] Royal Marsden NHS Trust, London SM2 5PT, England
基金
英国工程与自然科学研究理事会;
关键词
TWIST; undersampling; DCE; squamous cell cancer of the head and neck; IMAGING TECHNIQUE; DCE-MRI; RENOGRAPHY; HYPOXIA;
D O I
10.1118/1.4964795
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To investigate the effects of different time-resolved angiography with stochastic trajectories (TWIST) k-space undersampling schemes on calculated pharmacokinetic dynamic contrast-enhanced (DCE) vascular parameters. Methods: A digital perfusion phantom was employed to simulate effects of TWIST on characteristics of signal changes in DCE. Furthermore, DCE-MRI was acquired without undersampling in a group of patients with head and neck squamous cell carcinoma and used to simulate a range of TWIST schemes. Errors were calculated as differences between reference and TWIST-simulated DCE parameters. Parametrical error maps were used to display the averaged results from all tumors. Results: For a relatively wide range of undersampling schemes, errors in pharmacokinetic parameters due to TWIST were under 10% for the volume transfer constant, K-trans, and total extracellular extravascular space volume, V-e. TWIST induced errors in the total blood plasma volume, V-p, were the largest observed, and these were inversely dependent on the area of the fully sampled k-space. The magnitudes of errors were not correlated with K-trans, V-p and weakly correlated with V-e. Conclusions: The authors demonstrated methods to validate and optimize k-space view-sharing techniques for pharmacokinetic DCE studies using a range of clinically relevant spatial and temporal patient derived data. The authors found a range of undersampling patterns for which the TWIST sequence can be reliably used in pharmacokinetic DCE-MRI. The parameter maps created in the study can help to make a decision between temporal and spatial resolution demands and the quality of enhancement curve characterization. (C) 2016 Author(s).
引用
收藏
页码:6024 / 6032
页数:9
相关论文
共 50 条
  • [1] Application of Time-Resolved Angiography With Stochastic Trajectories (TWIST)-Dixon in Dynamic Contrast-Enhanced (DCE) Breast MRI
    Le, Yuan
    Kipfer, Hal
    Majidi, Shadie
    Holz, Stephanie
    Dale, Brian
    Geppert, Christian
    Kroeker, Randall
    Lin, Chen
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2013, 38 (05) : 1033 - 1042
  • [2] Evaluation of image quality of pituitary dynamic contrast-enhanced MRI using time-resolved angiography with interleaved stochastic trajectories (TWIST) and iterative reconstruction TWIST (IT-TWIST)
    Yokota, Yusuke
    Fushimi, Yasutaka
    Okada, Tomohisa
    Fujimoto, Koji
    Oshima, Sonoko
    Nakajima, Satoshi
    Fujii, Toshihito
    Tanji, Masahiro
    Inagaki, Nobuya
    Miyamoto, Susumu
    Togashi, Kaori
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 51 (05) : 1497 - 1506
  • [3] Dynamic Contrast-Enhanced MRI in Head-and-Neck Cancer: The Impact of Region of Interest Selection on the Intra- and Interpatient Variability of Pharmacokinetic Parameters
    Craciunescu, Oana I.
    Yoo, David S.
    Cleland, Esi
    Muradyan, Naira
    Carroll, Madeline D.
    MacFall, James R.
    Barboriak, Daniel P.
    Brizel, David M.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 82 (03): : E345 - E350
  • [4] Influence of Different Measurement Methods of Arterial Input Function on Quantitative Dynamic Contrast-Enhanced MRI Parameters in Head and Neck Cancer
    Dong, Wanxin
    Volk, Andreas
    Djaroum, Meriem
    Girot, Charly
    Balleyguier, Corinne
    Lebon, Vincent
    Garcia, Gabriel
    Ammari, Samy
    Temam, Stephane
    Gorphe, Philippe
    Wei, Lecong
    Pitre-Champagnat, Stephanie
    Lassau, Nathalie
    Bidault, Francois
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 58 (01) : 122 - 132
  • [5] Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer
    Kabadi, Suraj J.
    Fatterpekar, Girish M.
    Anzai, Yoshimi
    Mogen, Jonathan
    Hagiwara, Mari
    Patel, Sohil H.
    MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2018, 26 (01) : 135 - +
  • [6] The value of dynamic contrast-enhanced MRI in diagnosis of malignant lymphoma of the head and neck
    Asaumi, J
    Yanagi, Y
    Hisatomi, M
    Matsuzaki, H
    Konouchi, H
    Kishi, K
    EUROPEAN JOURNAL OF RADIOLOGY, 2003, 48 (02) : 183 - 187
  • [7] Transcytolemmal water exchange in pharmacokinetic analysis of dynamic contrast-enhanced MRI data in squamous cell carcinoma of the head and neck
    Kim, Sungheon
    Quon, Harry
    Loevner, Laurie A.
    Rosen, Mark A.
    Dougherty, Lawrence
    Kilger, Alex M.
    Glickson, Jerry D.
    Poptani, Harish
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2007, 26 (06) : 1607 - 1617
  • [8] On the identifiability of pharmacokinetic parameters in dynamic contrast-enhanced imaging
    Lopata, Richard G. P.
    Backes, Walter H.
    van den Bosch, Paul P. J.
    van Riel, Natal A. W.
    MAGNETIC RESONANCE IN MEDICINE, 2007, 58 (02) : 425 - 429
  • [9] Quantitative parameters correlated well with differentiation of squamous cell carcinoma at head and neck: a study of dynamic contrast-enhanced MRI
    Ji, Xiao Dong
    Yan, Shuo
    Xia, Shuang
    Guo, Yu
    Shen, Wen
    ACTA RADIOLOGICA, 2019, 60 (08) : 962 - 968
  • [10] Multiecho Time-Resolved Acquisition (META): A High Spatiotemporal Resolution Dixon Imaging Sequence for Dynamic Contrast-Enhanced MRI
    Saranathan, Manojkumar
    Rettmann, Dan
    Bayram, Ersin
    Lee, Christine
    Glockner, James
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2009, 29 (06) : 1406 - 1413