Magnetic resonance spectroscopy to assess hepatic steatosis in patients with lipodystrophy
Makaleler > Tam Makale · 2020
Yazarlar: CANAN ALTAY, MUSTAFA SEÇİL, Suleyman Cem Adiyaman, Basak Ozgen Saydam, Tevfik Demir, Gulcin Akinci, Ilgın YILDIRIM ŞİMŞİR, ERDAL EREN, Ela Temeloglu Keskin, Leyla Demir, HÜSEYİN ONAY, Haluk Topaloglu, Banu Pınar ŞARER YÜREKLİ, NİLÜFER ÖZDEMİR KUTBAY, RAMAZAN GEN, BARIŞ AKINCI
Turkish Journal of Gastroenterology, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2020, cilt 31, ss 588-595
Özet
BACKGROUND/AIMS: Lipodystrophy is a rare metabolic disorder characterized by near total or partial lack of subcutaneous adipose tissue and associated with insulin resistance. We aimed to evaluate the efficacy of magnetic resonance spectroscopy imaging (MRS) to explore the fat content of the liver in patients with lipodystrophy and to determine the relationship between the liver fat accumulation and clinical presentations of lipodystrophy. MATERIALS AND METHODS: Between July 2014 and February 2016, 34 patients with lipodystrophy were assessed by MRS for quantification of hepatic steatosis. All patients had metabolic abnormalities associated with insulin resistance. Metabolic parameters and the MRS findings were analyzed to identify potential correlations between the liver fat content and disease severity. RESULTS: The MRS fat ratios (MRS-FR) were markedly higher, indicating severe hepatic steatosis in lipodystrophy. Patients with generalized and partial lipodystrophy had comparable levels of MRS-FRs, although patients with generalized lipodystrophy were significantly younger. Patients with genetically based lipodystrophy had elevated MRS-FR compared to those with acquired lipodystrophy (p=0.042). The MRS-FR was positively correlated with liver enzyme alanine aminotransferase (p=0.028) and serum adiponectin (p=0.043). CONCLUSION: Our data suggest that MRS might be an effective, noninvasive imaging method to quantify hepatic fat content in patients with lipodystrophy. Further studies are needed to validate the technique and threshold values which would allow accurate comparison of data acquired by different machines and centers.