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Article detail · 2020 · article

Magnetic resonance spectroscopy to assess hepatic steatosis in patients with lipodystrophy

Journal The Turkish Journal of Gastroenterology
ISSNe ıssn: 2 1 4 8 - 5 6 0 7
YÖKSİS OpenAlex Open access · green
Year2020
Citations3OpenAlex
Percentile%42.9
FWCI0.151.00 = world average

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueThe Turkish Journal of Gastroenterology
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

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.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

3citationsOpenAlex · cited_by_count (cache / database)

Authors

16
  1. CANAN ALTAY 1
  2. MUSTAFA SEÇİL 2
  3. SÜLEYMAN CEM ADIYAMAN 3
  4. BAŞAK ÖZGEN SAYDAM 4
  5. TEVFİK DEMİR 5
  6. GÜLÇİN AKINCI 6
  7. ILGIN YILDIRIM ŞİMŞİR 7
  8. ERDAL EREN 8
  9. ELA TEMELOĞLU KESKİN 9
  10. LEYLA DEMİR İZMİR KATİP ÇELEBİ ÜNİVERSİTESİ 10
  11. HÜSEYİN ONAY 11
  12. HALUK TOPALOĞLU 12
  13. BANU SARER YÜREKLİ 13
  14. NİLÜFER ÖZDEMİR 14
  15. RAMAZAN GEN 15
  16. BARIŞ AKINCI 16