Suppr超能文献

双能计算机断层扫描中的胰腺脂肪分数作为检测2型糖尿病的潜在定量参数。

Pancreatic fat fraction in dual-energy computed tomography as a potential quantitative parameter in the detection of type 2 diabetes mellitus.

作者信息

Huang Shiqi, Liang Yuhong, Zhong Xixi, Luo Qunzhi, Yao Xinqun, Nong Zhuo, Luo Yi, Luo Lian, Jiang Wei, Qin Xiangyun, Lv Yaping

机构信息

Department of Radiology, Liuzhou Municipal Liutie Central Hospital, Liuzhou 545007, Guangxi, PR China.

Siemens Healthineers Ltd, Guangzhou 510080, Guangdong, PR China.

出版信息

Eur J Radiol. 2023 Feb;159:110668. doi: 10.1016/j.ejrad.2022.110668. Epub 2022 Dec 24.

Abstract

PURPOSE

To investigate the clinical value of measuring pancreatic fat fraction using dual-energy computed tomography (DECT) in association with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This retrospective study included patients who underwent abdominal DECT between September 2021 and July 2022. The fat fractions in the head, body, and tail of the pancreas were calculated using fat maps generated from unenhanced DECT images, and CT values were measured at the same locations. The intraclass correlation coefficient (ICC) was used to analyze the reproducibility of measurements from two observers. Diagnostic performance was assessed using receiver operating characteristic curves.

RESULTS

Seventy-eight patients, including 45 T2DM patients and 33 controls, were enrolled. The fat fractions of the pancreas were significantly higher in the T2DM group than in the control group (pancreatic head: 8.4 ± 6.3 % vs 5.1 ± 3.9 %; pancreatic body: 4.8 ± 4.0 % vs 2.7 ± 3.9 %; and pancreatic tail: 5.3 ± 3.2 % vs 2.7 ± 2.9 %, all p < 0.05). And the CT values of the pancreas were significantly lower in the T2DM group than in the control group (pancreatic head: 41.1 ± 8.5 HU vs 45.7 ± 4.6 HU; pancreatic body: 44.4 ± 5.0 HU vs 47.4 ± 3.7 HU; and pancreatic tail: 44.5 ± 5.0 HU vs 47.6 ± 3.2 HU, all p < 0.05). The fat fraction of the pancreatic tail was the best indicator for distinguishing T2DM patients from the controls (area under the curve: 0.716 (95 % CI: 0.601, 0.832), sensitivity: 64.4 % (95 % CI: 48.7 %, 77.7 %), and specificity: 78.8 % (95 % CI: 60.6 %, 90.4 %)).

CONCLUSION

The DECT fat fractions of the pancreas could be a valuable additional parameter in the detection of T2DM.

摘要

目的

探讨双能计算机断层扫描(DECT)测量胰腺脂肪分数在2型糖尿病(T2DM)中的临床价值。

材料与方法

这项回顾性研究纳入了2021年9月至2022年7月期间接受腹部DECT检查的患者。使用未增强DECT图像生成的脂肪图计算胰腺头部、体部和尾部的脂肪分数,并在相同位置测量CT值。组内相关系数(ICC)用于分析两名观察者测量结果的可重复性。使用受试者工作特征曲线评估诊断性能。

结果

共纳入78例患者,其中45例T2DM患者和33例对照。T2DM组胰腺的脂肪分数显著高于对照组(胰腺头部:8.4±6.3%对5.1±3.9%;胰腺体部:4.8±4.0%对2.7±3.9%;胰腺尾部:5.3±3.2%对2.7±2.9%,均p<0.05)。并且T2DM组胰腺的CT值显著低于对照组(胰腺头部:41.1±8.5HU对45.7±4.6HU;胰腺体部:44.4±5.0HU对47.4±3.7HU;胰腺尾部:44.5±5.0HU对47.6±3.2HU,均p<0.05)。胰腺尾部的脂肪分数是区分T2DM患者与对照组的最佳指标(曲线下面积:0.716(95%CI:0.601,0.832),敏感性:64.4%(95%CI:48.7%,77.7%)和特异性:78.8%(95%CI:60.6%,90.4%))。

结论

胰腺的DECT脂肪分数可能是T2DM检测中有价值的附加参数。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验