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Yann Leprince

Publications and source records attributed to Yann Leprince.

2 recordsLinked to original sources

Investigating cerebral anomalies in preterm infants and associated risk factors with magnetic resonance imaging at term-equivalent age

Background: Being born very or extreme preterm is a major source of cerebral anomalies and neurodevelopmental disorders, whose occurrence depends on many perinatal factors. A better understanding of these factors could be provided by cerebral Magnetic Resonance Imaging (MRI) at term-equivalent age (TEA). Objective: To investigate, through cerebral TEA-MRIs, the relationship between the main perinatal factors, the occurrence of cerebral anomalies, and cerebral volumetry. Methods: We assembled a cohort of preterm babies born before 32 weeks of gestation who underwent a cerebral TEA-MRI. We assessed cerebral anomalies using a radiological scoring system -- the Kidokoro scoring -- and performed cerebral volumetry. We investigated the relationships between 9 clinical factors (birth characteristics, resuscitation treatments{\ldots}), Kidokoro scores, and brain volumes. Results: Among 110 preterms who underwent a cerebral MRI at TEA, only 6% suffered moderate-to-severe brain anomalies. We identified mechanical ventilation as a risk factor for cerebral anomalies (adjusted Odds-Ratio aOR = 4.6, 95% Confidence Interval CI [1.7-12.8]) and prolonged parenteral nutrition as a protective factor for white matter anomalies (aOR = 0.2, 95%CI [0.1-0.8]). Mechanical ventilation (p = 0.01) and being born small for gestational age (p < 0.001) were risk factors for the reduction of cerebral volumes. An increase in brain lesion severity was associated with decreased cerebral volumes (p = 0.016). Conclusion: Our study highlights the importance of treatment-related perinatal factors on the occurrence of cerebral anomalies in very and extreme preterms, and the interest in using both qualitative (Kidokoro scoring) and quantitative (volumetry) MRI-tools.

q-bio.NC

Two-step registration method boosts sensitivity in longitudinal fixel-based analyses

Longitudinal analyses are increasingly used in clinical studies as they allow the study of subtle changes over time within the same subjects. In most of these studies, it is necessary to align all the images studied to a common reference by registering them to a template. In the study of white matter using the recently developed fixel-based analysis (FBA) method, this registration is important, in particular because the fiber bundle cross-section metric is a direct measure of this registration. In the vast majority of longitudinal FBA studies described in the literature, sessions acquired for a same subject are directly independently registered to the template. However, it has been shown in T1-based morphometry that a 2-step registration through an intra-subject average can be advantageous in longitudinal analyses. In this work, we propose an implementation of this 2-step registration method in a typical longitudinal FBA aimed at investigating the evolution of white matter changes in Alzheimer's disease (AD). We compared at the fixel level the mean absolute effect and standard deviation yielded by this registration method and by a direct registration, as well as the results obtained with each registration method for the study of AD in both fixelwise and tract-based analyses. We found that the 2-step method reduced the variability of the measurements and thus enhanced statistical power in both types of analyses.

q-bio.QM