مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

228
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

434
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Assessment of Abdominal Fat Distribution in Non-Alcoholic Fatty Liver Disease by Magnetic Resonance Imaging: a Population-based Study

Pages

  693-699

Abstract

 BACKGROUND: To investigate the association between Non-alcoholic fatty liver disease (NAFLD) and quantitative measures of central adiposity in the General population using a semi-automated method on magnetic resonance imaging (MRI) data. METHODS: Subjects were recruited from Golestan Cohort Study. Two groups of 120 individuals with and without fatty liver were randomly selected based on findings of ultrasound. Non-invasive diagnosis of NAFLD was made by combination of ultrasound and MRI. Various anthropometric indices including body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured. Segmentation and calculation of visceral (VFA) and Subcutaneous fat area (SFA) were performed on three levels of MRI slices using semi-automated software. RESULTS: A total of 109 individuals fulfilled the NAFLD criteria, while 92 subjects were selected as the control group. All obesity measures, except for SFA, were significantly higher in subjects with NAFLD compared to controls. Significant associations were found between NAFLD and adiposity indices, except for SFA, with the highest odds ratio observed in WHR (OR: 3. 37, CI: 1. 40– 3. 70, P < 0. 001). VFA also had the greatest correlation with ultrasound (r = 0. 523, P < 0. 001) and MRI (r = 0. 546, P < 0. 001) indicators of NAFLD. CONCLUSIONS: Quantitative measures of visceral adiposity are associated with NAFLD, while Subcutaneous fat measures are poor indicators for identifying NAFLD. Compared to conventional anthropometric indices, VFA best correlates with ultrasound and MRI criteria of fatty liver.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    RAHMANIAN, MOHAMMAD SADEGH, ABRISHAMI, ALIREZA, Kooraki, Soheil, Dadgostar, Mehrdad, HASHEMI TAHERI, AMIRPEJMAN, Gerami Seresht, Marjan, POUSTCHI, HOSSEIN, JAFARI, ELHAM, MALEKZADEH, REZA, & MERAT, SHAHIN. (2016). Assessment of Abdominal Fat Distribution in Non-Alcoholic Fatty Liver Disease by Magnetic Resonance Imaging: a Population-based Study. ARCHIVES OF IRANIAN MEDICINE, 19(10), 693-699. SID. https://sid.ir/paper/281455/en

    Vancouver: Copy

    RAHMANIAN MOHAMMAD SADEGH, ABRISHAMI ALIREZA, Kooraki Soheil, Dadgostar Mehrdad, HASHEMI TAHERI AMIRPEJMAN, Gerami Seresht Marjan, POUSTCHI HOSSEIN, JAFARI ELHAM, MALEKZADEH REZA, MERAT SHAHIN. Assessment of Abdominal Fat Distribution in Non-Alcoholic Fatty Liver Disease by Magnetic Resonance Imaging: a Population-based Study. ARCHIVES OF IRANIAN MEDICINE[Internet]. 2016;19(10):693-699. Available from: https://sid.ir/paper/281455/en

    IEEE: Copy

    MOHAMMAD SADEGH RAHMANIAN, ALIREZA ABRISHAMI, Soheil Kooraki, Mehrdad Dadgostar, AMIRPEJMAN HASHEMI TAHERI, Marjan Gerami Seresht, HOSSEIN POUSTCHI, ELHAM JAFARI, REZA MALEKZADEH, and SHAHIN MERAT, “Assessment of Abdominal Fat Distribution in Non-Alcoholic Fatty Liver Disease by Magnetic Resonance Imaging: a Population-based Study,” ARCHIVES OF IRANIAN MEDICINE, vol. 19, no. 10, pp. 693–699, 2016, [Online]. Available: https://sid.ir/paper/281455/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button