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Master Thesis

Évaluation de la quantification des hyper et hypo signaux en irm 3d ute comme marqueurs de la sévérité de l'atteinte pulmonaire dans la mucoviscidose

Abstract : Objectives. This study aimed to assess automated MRI (magnetic resonance imaging) quantification of HSV (high-signal intensity volume) and LSV (low-signal intensity volume) as a surrogate outcome for « plus-pathology » and « minus-pathology » as markers of disease severity in CF (cystic fibrosis) patients using a 3D UTE (3-dimension ultra-short echo time) sequence, as compared to CT quantification of HAV (high-attenuation volume) and LAV (low-attenuation volume). Material and methods. Thirty consecutive CF patients underwent CT (computed tomography), MRI and PFT (pulmonary function tests) on the same day and had a follow up MRI and PFT one year later. Visual scores (Helbich-Bhalla) and quantitative scores were evaluated for both CT and MRI. Intraclass correlation coefficients (ICC) were used to assess reproducibility. Spearman test was used for univariate correlations. Results. %LSV showed a good significant correlation with %LAV (r=0.61; p<0.001) and %HSV showed moderate correlation with %HAV (r=0.59; p<0.001). Significant correlations were found between quantitative MRI parameters (%LSV and %HSV) and FEV1% (r= -0.45; p=0.01 and r= -0.40; p=0.02 respectively). Changes of FEV1% overtime showed significant correlation with changes in %HSV (r= -0.45; p=0.02) but not with changes in %LSV (r= -0.07; p=0.69). Almost perfect inter-observer and intra-observer reproducibility were found for %HSV and %LSV (ICC ⩾0,97). Conclusion. Automated evaluation of %LSV and %HSV allow to reliably assess the disease severity in CF without any radiation and may allow a distinct quantification of those alterations related to destructive processes and productive processes secondary to chronic airway inflammation.
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Cédric Leung Yan Cheong. Évaluation de la quantification des hyper et hypo signaux en irm 3d ute comme marqueurs de la sévérité de l'atteinte pulmonaire dans la mucoviscidose. Sciences du Vivant [q-bio]. 2019. ⟨dumas-02433789⟩

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