2018
Diffusion tensor imaging (DTI) in patients with cystic fibrosis
BEDNAŘÍK, Petr; Alena SVÁTKOVÁ; Silvia MANGIA; Christophe LENGLET; Antoinette MORAN et al.Základní údaje
Originální název
Diffusion tensor imaging (DTI) in patients with cystic fibrosis
Název anglicky
Diffusion tensor imaging (DTI) in patients with cystic fibrosis
Autoři
BEDNAŘÍK, Petr; Alena SVÁTKOVÁ; Silvia MANGIA; Christophe LENGLET; Antoinette MORAN a Amir MOHEET
Vydání
Joint annual meeting ISMRM-ESMRMB 2018, 2018
Další údaje
Typ výsledku
Konferenční abstrakt
Utajení
není předmětem státního či obchodního tajemství
Označené pro přenos do RIV
Ne
Změněno: 3. 2. 2018 19:21, MUDr. Petr Bednařík, Ph.D.
V originále
Cystic fibrosis (CF) is the most common fatal autosomal recessive disorder in Caucasians. As the effects of CF on the brain structure remain unexplored, we piloted initial MRI investigations of brain structure by diffusion tensor imaging in CF and cystic fibrosis related diabetes (CFRD), a common complication in CF patients. Diffusion metrics were obtained in selected white and gray matter regions of 5 healthy controls (HC) and 5 CF patients with CFRD. Diffusion metrics of deep gray matter structures appeared to differ between patients with CF and HC, possibly related to increased iron deposition, warranting more comprehensive MRI investigations in larger cohorts of patients.
Anglicky
Cystic fibrosis (CF) is the most common fatal autosomal recessive disorder in Caucasians. As the effects of CF on the brain structure remain unexplored, we piloted initial MRI investigations of brain structure by diffusion tensor imaging in CF and cystic fibrosis related diabetes (CFRD), a common complication in CF patients. Diffusion metrics were obtained in selected white and gray matter regions of 5 healthy controls (HC) and 5 CF patients with CFRD. Diffusion metrics of deep gray matter structures appeared to differ between patients with CF and HC, possibly related to increased iron deposition, warranting more comprehensive MRI investigations in larger cohorts of patients.