Prediction of type 2 diabetes mellitus using noninvasive MRI quantitation of visceral abdominal adiposity tissue volume | Zendy

Meng Wang | Zendy; Yanji Luo | Zendy; Huasong Cai | Zendy; Ling Xu | Zendy; Mengqi Huang | Zendy; Chang Li | Zendy; Zhi Dong | Zendy; Zi-Ping Li | Zendy; ShiTing Feng | Zendy

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Prediction of type 2 diabetes mellitus using noninvasive MRI quantitation of visceral abdominal adiposity tissue volume

Author(s) -

Meng Wang,

Yanji Luo,

Huasong Cai,

Ling Xu,

Mengqi Huang,

Chang Li,

Zhi Dong,

Zi-Ping Li,

ShiTing Feng

Publication year - 2019

Publication title -

quantitative imaging in medicine and surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.766

H-Index - 21

eISSN - 2223-4292

pISSN - 2223-4306

DOI - 10.21037/qims.2019.06.01

Subject(s) - medicine , type 2 diabetes mellitus , diabetes mellitus , type 2 diabetes , volume (thermodynamics) , radiology , pathology , endocrinology , physics , quantum mechanics

The correlation between visceral adipose tissue volume (VATV), hepatic proton-density fat fraction (PDFF), and pancreatic PDFF has been previously studied to predict the presence of type 2 diabetes mellitus (T2DM). This study investigated VATV quantitation in patients with T2DM, prediabetes, and normal glucose tolerance (NGT) using MRI to assess the roles of VATV, hepatic, and pancreatic PDFF in predicting the presence of T2DM.

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