PMID- 36685051 OWN - NLM STAT- MEDLINE DCOM- 20230228 LR - 20240205 IS - 1555-4317 (Electronic) IS - 1555-4309 (Print) IS - 1555-4309 (Linking) VI - 2022 DP - 2022 TI - The Correlation between Type 2 Diabetes and Fat Fraction in Liver and Pancreas: A Study using MR Dixon Technique. PG - 7073647 LID - 10.1155/2022/7073647 [doi] LID - 7073647 AB - OBJECTIVE: The increased obesity results in ectopic fat deposits in liver and pancreas, which will affect insulin resistance and elevated plasma glucose with type 2 diabetes. To assess the relationship between obesity and ectopic fat deposits and diabetes, this study used the MR Dixon method for the quantification of liver and pancreas fat fraction (FF) in type 2 diabetes mellitus (T2DM) patients and healthy controls. METHODS: The FF of whole liver (FFWL) and pancreas (FFWP), the maximum diameters of the pancreas, the abdominal subcutaneous adipose area (SAT), the visceral adipose tissue area (VAT), and the total abdominal adipose tissue area (TAT) were measured for 157 subjects using the MR Dixon data. Four groups were established on the basis of BMI value. For statistics, intra- and intergroup comparisons were made by employing independent sample t-test. RESULTS: FFWL, FFWP, and VAT varied significantly between T2DM (BMI < 25) and control group (BMI < 25), T2DM (BMI >/= 25) and control group (BMI >/= 25), T2DM (BMI < 25) and T2DM (BMI >/= 25) (all P < 0.05). The FF of pancreas tail, SAT, and TAT varied significantly between control group (BMI < 25) and control group (BMI >/= 25) (P < 0.05). FFWP and the FF of pancreas tail varied significantly between T2DM and normal volunteers (P < 0.05), with normal or mild liver fat content. CONCLUSION: The tissue FF, which has a close relationship with T2DM, can be assessed by the MR Dixon technique. T2DM patients should pay attention to tissue fat content regardless of BMI values. CI - Copyright (c) 2022 Yonghong Zheng et al. FAU - Zheng, Yonghong AU - Zheng Y AUID- ORCID: 0000-0002-5610-2888 AD - Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China. AD - Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China. FAU - Yang, Shengsheng AU - Yang S AD - Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China. AD - Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China. FAU - Chen, Xianyuan AU - Chen X AD - Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China. AD - Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China. FAU - Lv, Jieqin AU - Lv J AD - Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China. AD - Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China. FAU - Su, Jiawei AU - Su J AD - Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China. AD - Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China. FAU - Yu, Shun AU - Yu S AUID- ORCID: 0000-0002-9073-3886 AD - Shengli Clinical Medical College of Fujian Medical University, Fujian, Fuzhou, China. AD - Department of Radiology, Fujian Provincial Hospital, Fujian, Fuzhou, China. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20221230 PL - England TA - Contrast Media Mol Imaging JT - Contrast media & molecular imaging JID - 101286760 SB - IM MH - Humans MH - *Diabetes Mellitus, Type 2/diagnostic imaging MH - Insulin Resistance MH - *Liver/diagnostic imaging MH - Magnetic Resonance Imaging/methods MH - Obesity/diagnostic imaging MH - *Pancreas/diagnostic imaging MH - *Abdominal Fat/diagnostic imaging PMC - PMC9822734 COIS- The authors declare that they have no conflicts of interest. EDAT- 2023/01/24 06:00 MHDA- 2023/01/25 06:00 PMCR- 2022/12/30 CRDT- 2023/01/23 04:31 PHST- 2022/10/16 00:00 [received] PHST- 2022/12/05 00:00 [revised] PHST- 2022/12/08 00:00 [accepted] PHST- 2023/01/23 04:31 [entrez] PHST- 2023/01/24 06:00 [pubmed] PHST- 2023/01/25 06:00 [medline] PHST- 2022/12/30 00:00 [pmc-release] AID - 10.1155/2022/7073647 [doi] PST - epublish SO - Contrast Media Mol Imaging. 2022 Dec 30;2022:7073647. doi: 10.1155/2022/7073647. eCollection 2022.