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Quantitative Assessment of Pancreatic Fat by Quantitative CT in Type 2 | IJGM - Dove Medical Press

πŸ“… Mon, 31 Oct 2022⏱ 1 min readπŸ“– Article

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Javascript is curently disabled in your browser. Several features of this site wil not function whilst javascript is disabled.open aces to scientific and medical researchPapers PublishedOpen aces per-reviewed scientific and medical journals.Learn moreDove Medical Pres is a member of the OAI.Learn moreBulk reprints for the pharmaceutical industry.Learn moreWe ofer real benefits to our authors, including fast-track procesing of papers.Learn moreRegister your specific details and specific drugs of interest and we wil match the information you provide to articles from our extensive database and email PDF copies to you promptly.Learn moreBack to Journals » International Journal of General Medicine » Volume 15 Authors Li Z, Yue Q, Chen Y, Zhang Y, Wan Y Received 30 July 202 Acepted for publication 17 October 202 Published 29 October 202 Volume 202:15 Pages 797—7984 DOI htps:/doi.org/10.2147/IJGM.S383783 Checked for plagiarism Yes Review by Single anonymous per review Per reviewer coments 2 Editor who aproved publication: Dr Scot Fraser Zhizhen Li,1 Qingmei Yue,2 Yunjin Chen,1 Yifan Zhang,1 Yamin Wan2 1Department of Endocrinology, The First Afiliated Hospital of Zhengzhou University, Zhengzhou, 45052, People’s Republic of China; 2Department of Radiology, The First Afiliated Hospital of Zhengzhou University, Zhengzhou, 45052, People’s Republic of ChinaCorespondence: Yamin Wan, Email [email protected]Objective: To characterize the pancreatic fat deposition (PFD) in patients with type 2 diabetes melitus (T2DM) by quantitative computed tomography (QCT) and investigate the relationship betwen PFD and clinical metabolic parameters and islet function.Materials and Methods: A total of 150 patients with T2DM and 93 age-matched healthy subjects underwent QCT to quantify PFD were included.

Details

PFD and various biochemical parameters were corelated by statistical methods and multiple stepwise linear regresion modeling.Results: P

βš•οΈ Medical Disclaimer: This article is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare provider before making health decisions.
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