Time‐resolved angiography with stochastic trajectories for dynamic contrast‐enhanced MRI in head and neck cancer: Are pharmacokinetic parameters affected?. Issue 11 (18th October 2016)

• Record Type: Journal Article
• Authors: Panek, Rafal; Schmidt, Maria A.; Borri, Marco; Koh, Dow‐Mu; Riddell, Angela; Welsh, Liam; Dunlop, Alex; Powell, Ceri; Bhide, Shreerang A.; Nutting, Christopher M.; Harrington, Kevin J.; Newbold, Kate L.; Leach, Martin O.
• Is Part Of: Medical physics. Volume 43:Issue 11(2016)
• Page Start: 6024
• Page End: 6032
• Publication Date: 2016-10-18
• Subjects: biomedical MRI -- blood -- cancer -- cellular biophysics -- haemorheology -- image enhancement -- image resolution -- image sampling -- image sequences -- medical image processing -- tumours; Magnetic resonance imaging -- Fluid transport and rheology -- Cancer -- Spatial resolution -- Edge enhancement -- Fluid mechanics and rheology -- Cell processes; Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging -- Biological material, e.g. blood, urine; Haemocytometers -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general -- Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image; TWIST -- undersampling -- DCE -- squamous cell cancer of the head and neck; Cancer -- Spatial resolution -- Medical image contrast -- Magnetic resonance imaging -- Fourier transforms -- Angiography -- Medical image spatial resolution -- Relaxation times -- Heart; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4964795
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : 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, Ve . TWIST induced errors in the total blood plasma volume, Vp, 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, Vp and weakly correlated with Ve . 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.