Literature DB >> 27277048

Development of a temperature-controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements.

Neil P Jerome1, Marianthi-Vasiliki Papoutsaki1,2, Matthew R Orton1, Harold G Parkes1, Jessica M Winfield1, Michael A Boss3, Martin O Leach1, Nandita M deSouza2, David J Collins1.   

Abstract

PURPOSE: Diffusion-weighted (DW) and dynamic contrast-enhanced magnetic resonance imaging (MRI) are increasingly applied for the assessment of functional tissue biomarkers for diagnosis, lesion characterization, or for monitoring of treatment response. However, these techniques are vulnerable to the influence of various factors, so there is a necessity for a standardized MR quality assurance procedure utilizing a phantom to facilitate the reliable estimation of repeatability of these quantitative biomarkers arising from technical factors (e.g., B1 variation) affecting acquisition on scanners of different vendors and field strengths. The purpose of this study is to present a novel phantom designed for use in quality assurance for multicenter trials, and the associated repeatability measurements of functional and quantitative imaging protocols across different MR vendors and field strengths.
METHODS: A cylindrical acrylic phantom was manufactured containing 7 vials of polyvinylpyrrolidone (PVP) solutions of different concentrations, ranging from 0% (distilled water) to 25% w/w, to create a range of different MR contrast parameters. Temperature control was achieved by equilibration with ice-water. Repeated MR imaging measurements of the phantom were performed on four clinical scanners (two at 1.5 T, two at 3.0 T; two vendors) using the same scanning protocol to assess the long-term and short-term repeatability. The scanning protocol consisted of DW measurements, inversion recovery (IR) T1 measurements, multiecho T2 measurement, and dynamic T1-weighted sequence allowing multiple variable flip angle (VFA) estimation of T1 values over time. For each measurement, the corresponding calculated parameter maps were produced. On each calculated map, regions of interest (ROIs) were drawn within each vial and the median value of these voxels was assessed. For the dynamic data, the autocorrelation function and their variance were calculated; for the assessment of the repeatability, the coefficients of variation (CoV) were calculated.
RESULTS: For both field strengths across the available vendors, the apparent diffusion coefficient (ADC) at 0 °C ranged from (1.12 ± 0.01) × 10(-3) mm(2)/s for pure water to (0.48 ± 0.02) × 10(-3) mm(2)/s for the 25% w/w PVP concentration, presenting a minor variability between the vendors and the field strengths. T2 and IR-T1 relaxation time results demonstrated variability between the field strengths and the vendors across the different acquisitions. Moreover, the T1 values derived from the VFA method exhibited a large variation compared with the IR-T1 values across all the scanners for all repeated measurements, although the calculation of the standard deviation of the VFA-T1 estimate across each ROI and the autocorrelation showed a stability of the signal for three scanners, with autocorrelation of the signal over the dynamic series revealing a periodic variation in one scanner. Finally, the ADC, the T2, and the IR-T1 values exhibited an excellent repeatability across the scanners, whereas for the dynamic data, the CoVs were higher.
CONCLUSIONS: The combination of a novel PVP phantom, with multiple compartments to give a physiologically relevant range of ADC and T1 values, together with ice-water as a temperature-controlled medium, allows reliable quality assurance measurements that can be used to measure agreement between MRI scanners, critical in multicenter functional and quantitative imaging studies.

Entities:  

Year:  2016        PMID: 27277048     DOI: 10.1118/1.4948997

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  11 in total

1.  Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study.

Authors:  Octavia Bane; Stefanie J Hectors; Mathilde Wagner; Lori L Arlinghaus; Madhava P Aryal; Yue Cao; Thomas L Chenevert; Fiona Fennessy; Wei Huang; Nola M Hylton; Jayashree Kalpathy-Cramer; Kathryn E Keenan; Dariya I Malyarenko; Robert V Mulkern; David C Newitt; Stephen E Russek; Karl F Stupic; Alina Tudorica; Lisa J Wilmes; Thomas E Yankeelov; Yi-Fei Yen; Michael A Boss; Bachir Taouli
Journal:  Magn Reson Med       Date:  2017-09-14       Impact factor: 4.668

2.  Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction.

Authors:  Ashley T Tao; Yunhong Shu; Ek T Tan; Joshua D Trzasko; Shengzhen Tao; Robert D Reid; Paul T Weavers; John Huston; Matt A Bernstein
Journal:  J Magn Reson Imaging       Date:  2018-09-26       Impact factor: 4.813

3.  Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294.

Authors:  Kiaran P McGee; Ken-Pin Hwang; Daniel C Sullivan; John Kurhanewicz; Yanle Hu; Jihong Wang; Wen Li; Josef Debbins; Eric Paulson; Jeffrey R Olsen; Chia-Ho Hua; Lizette Warner; Daniel Ma; Eduardo Moros; Neelam Tyagi; Caroline Chung
Journal:  Med Phys       Date:  2021-05-20       Impact factor: 4.071

4.  Study of diffusion weighted MRI as a predictive biomarker of response during radiotherapy for high and intermediate risk squamous cell cancer of the oropharynx: The MeRInO study.

Authors:  C Paterson; S Allwood-Spiers; I McCrea; J Foster; M McJury; M Thomson; M Sankaralingam; D Grose; A James; M Rizwanullah; P McLoone; A Chalmers; A Duffton
Journal:  Clin Transl Radiat Oncol       Date:  2017-01-10

5.  Comparison Between 3-Scan Trace and Diagonal Body Diffusion-Weighted Imaging Acquisitions: A Phantom and Volunteer Study.

Authors:  Stefanie J Hectors; Mathilde Wagner; Idoia Corcuera-Solano; Martin Kang; Alto Stemmer; Michael A Boss; Bachir Taouli
Journal:  Tomography       Date:  2016-12

Review 6.  Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives.

Authors:  N M deSouza; J M Winfield; J C Waterton; A Weller; M-V Papoutsaki; S J Doran; D J Collins; L Fournier; D Sullivan; T Chenevert; A Jackson; M Boss; S Trattnig; Y Liu
Journal:  Eur Radiol       Date:  2017-09-27       Impact factor: 5.315

7.  Characterisation of fibrosis in chemically-induced rat mammary carcinomas using multi-modal endogenous contrast MRI on a 1.5T clinical platform.

Authors:  Neil P Jerome; Jessica K R Boult; Matthew R Orton; James A d'Arcy; Ashutosh Nerurkar; Martin O Leach; Dow-Mu Koh; David J Collins; Simon P Robinson
Journal:  Eur Radiol       Date:  2017-10-16       Impact factor: 5.315

8.  Feasibility of DW-MRI analysis of salivary glands during head and neck radiotherapy.

Authors:  Aileen Duffton; Olivia Kemp; Lynsey Devlin; Lisa Hay; Philip McLoone; Claire Paterson
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2021-09-04

9.  Validation of cardiac diffusion tensor imaging sequences: A multicentre test-retest phantom study.

Authors:  Irvin Teh; William A Romero R; Jordan Boyle; Jaume Coll-Font; Erica Dall'Armellina; Daniel B Ennis; Pedro F Ferreira; Prateek Kalra; Arunark Kolipaka; Sebastian Kozerke; David Lohr; François-Pierre Mongeon; Kévin Moulin; Christopher Nguyen; Sonia Nielles-Vallespin; Brian Raterman; Laura M Schreiber; Andrew D Scott; David E Sosnovik; Christian T Stoeck; Cyril Tous; Elizabeth M Tunnicliffe; Andreas M Weng; Pierre Croisille; Magalie Viallon; Jürgen E Schneider
Journal:  NMR Biomed       Date:  2022-02-08       Impact factor: 4.478

Review 10.  Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Authors:  Amita Shukla-Dave; Nancy A Obuchowski; Thomas L Chenevert; Sachin Jambawalikar; Lawrence H Schwartz; Dariya Malyarenko; Wei Huang; Susan M Noworolski; Robert J Young; Mark S Shiroishi; Harrison Kim; Catherine Coolens; Hendrik Laue; Caroline Chung; Mark Rosen; Michael Boss; Edward F Jackson
Journal:  J Magn Reson Imaging       Date:  2018-11-19       Impact factor: 5.119

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