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Effects of motion correction, sampling rate and parametric modelling in dynamic contrast enhanced MRI of the temporomandibular joint in children affected with juvenile idiopathic arthritis
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SYSNO ASEP 0543088 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Effects of motion correction, sampling rate and parametric modelling in dynamic contrast enhanced MRI of the temporomandibular joint in children affected with juvenile idiopathic arthritis Author(s) Starck, L. S. (NO)
Andersen, E. (NO)
Macíček, Ondřej (UPT-D) RID, ORCID, SAI
Angenete, O. (NO)
Augdal, T. A. (NO)
Rosendahl, K. (NO)
Jiřík, Radovan (UPT-D) RID, ORCID, SAI
Grüner, R. (NO)Number of authors 8 Source Title Magnetic Resonance Imaging. - : Elsevier - ISSN 0730-725X
Roč. 77, April (2021), s. 204-212Number of pages 9 s. Publication form Print - P Language eng - English Country US - United States Keywords JIA ; TMJ ; DCE MRI ; Sampling rate ; Motion correction Subject RIV FS - Medical Facilities ; Equipment OECD category Medical engineering R&D Projects EF16_013/0001775 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) LO1212 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support UPT-D - RVO:68081731 UT WOS 000617039200004 EID SCOPUS 85099241949 DOI 10.1016/j.mri.2020.12.014 Annotation The temporomandibular joint (TMJ) is typically involved in 45-87% of children with Juvenile Idiopathic Arthritis (JIA). Accurate diagnosis of JIA is difficult as various clinical tests, including MRI, disagree. The purpose of this study is to optimize the methodological aspects of Dynamic Contrast Enhanced (DCE) MRI of the TMJ in children. In this cross-sectional study, including data from 73 JIA affected children, aged 6-15 years, effects of motion correction, sampling rate and parametric modelling on DCE-MRI data is investigated. Consensus among three radiologists determined the regions of interest. Quantitative perfusion parameters were estimated using four perfusion models, the Adiabatic Approximation to Tissue Homogeneity (AATH), Distributed Capillary Adiabatic Tissue Homogeneity (DCATH), Gamma Capillary Transit Time (GCTT) and Two Compartment Exchange (2CXM) models. Effects of motion correction were evaluated by a sum of least squares between corrected raw data and the GCTT model. The effect of systematically down sampling the raw data was tested. The sum of least squares was computed across all pharmacokinetic models. Relative difference perfusion parameters between the left and right TMJ were used for an unsupervised k-means based stratification of the data based on a principal component analysis, as well as for a supervised random forest classification. Diagnostic sensitivity and specificity were computed relative to structural image scorings. Paired sample t-tests, as well as ANOVA tests, were used (significant threshold: p < 0.05) with Tukeys post hoc test. High-level elastic motion correction provides the best least square fit to the GCTT model (percental improvement: 72-84%). A 4 s sampling rate captures more of the potentially disease relevant signal variations. The various parametric models all leave comparable residues (relative standard deviation: 3.4%). In further evaluation of DCE-MRI as a potential diagnostic tool for JIA a high-level elastic motion correction scheme should be adopted, with a sampling rate of at least 4 s. Results suggest that DCE-MRI data can be a valuable part in JIA diagnostics in the TMJ. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2022 Electronic address https://www.sciencedirect.com/science/article/pii/S0730725X20306688
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