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超重和肥胖个体接受胃左动脉栓塞后体成分的变化。

Body composition changes after left gastric artery embolization in overweight and obese individuals.

机构信息

Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.

Division of Vascular and Interventional Radiology, Mayo Clinic, Rochester, MN, USA.

出版信息

Abdom Radiol (NY). 2019 Jul;44(7):2627-2631. doi: 10.1007/s00261-019-02002-6.

Abstract

PURPOSE

To determine the effects of left gastric artery embolization (LGAE) on computed tomography (CT) body composition change.

MATERIALS AND METHODS

Sixteen overweight or obese patients who had abdominal CT scans before and after LGAE for gastric bleeding were retrospectively reviewed. Body composition analysis was performed with semiautomated imaging processing algorithms (MATLAB 13.0, Math Works, MA). Adipose tissue and lean skeletal muscle were measured using threshold attenuation values. Total body fat index (BFI), subcutaneous fat index (SFI), visceral fat index (VFI), intramuscular fat index (IMFI), and skeletal muscle index (SMI) were determined ([tissue area (cm)]/[height (m)]). Excess body weight (EBW) was determined based on the Lorentz formula for ideal body weight.

RESULTS

Mean follow-up was 1.5 ± 0.8 months. Following LGAE, patients experienced significantly decreased body weight (p = 0.003), BMI (p = 0.005), EBW (p = 0.003), BFI (p = 0.03), SFI (p = 0.03), and SMI (p < 0.001). Changes in VFI and IMFI did not significantly change (p = 0.13 and p = 0.83, respectively).

CONCLUSIONS

Patients who underwent LGAE had significant unintended weight loss as a result of decreased body fat and skeletal muscle. Body composition analysis can readily assess the extent of fat loss and identify muscle wasting.

摘要

目的

确定胃左动脉栓塞(LGAE)对 CT 体成分变化的影响。

材料和方法

回顾性分析了 16 例因胃出血而行 LGAE 前后行腹部 CT 扫描的超重或肥胖患者。采用半自动成像处理算法(MATLAB 13.0,Math Works,MA)进行体成分分析。使用阈值衰减值测量脂肪组织和瘦骨骼肌。通过[组织面积(cm)]/[身高(m)]来确定总体脂肪指数(BFI)、皮下脂肪指数(SFI)、内脏脂肪指数(VFI)、肌内脂肪指数(IMFI)和骨骼肌指数(SMI)。根据洛伦茨公式确定超重体重(EBW)。

结果

平均随访时间为 1.5±0.8 个月。LGAE 后,患者的体重(p=0.003)、BMI(p=0.005)、EBW(p=0.003)、BFI(p=0.03)、SFI(p=0.03)和 SMI(p<0.001)显著降低。VFI 和 IMFI 的变化无显著差异(p=0.13 和 p=0.83)。

结论

接受 LGAE 的患者由于体脂和骨骼肌减少而出现显著的非预期体重减轻。体成分分析可轻易评估脂肪减少的程度并识别肌肉消耗。

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