|本期目录/Table of Contents|

[1]苏大同,王 敏,于铁链.CT定量腹部内脏脂肪组织技术优化[J].天津医科大学学报,2018,24(05):457-460.
　SU Da-tong,WANG Min,YU Tie-lian.Optimization of quantifying visceral adipose tissue with CT[J].Journal of Tianjin Medical University,2018,24(05):457-460.
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CT定量腹部内脏脂肪组织技术优化(PDF)
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《天津医科大学学报》[ISSN:1006-8147/CN:12-1259/R]

卷:
24卷
期数:
2018年05期
页码:
457-460
栏目:
临床医学
出版日期:
2018-09-20

文章信息/Info

Title:
Optimization of quantifying visceral adipose tissue with CT
作者:
苏大同 ; 王 敏; 于铁链
天津医科大学总医院放射科，天津 300052
Author(s):
SU Da-tong;  WANG Min;  YU Tie-lian
Department of Radiology, General Hospital, Tianjin Medical University, Tianjin 300052, China
关键词:
内脏脂肪组织：高脂血症：计算机体层摄影： 最佳层面： 临界值
Keywords:
visceral adipose tissue;  hyperlipidemia;  CT;  best slice;  cut-off value
分类号:
R445
DOI:
-
文献标志码:
A
摘要:
目的：评估CT测量腹部内脏脂肪（VAT）与血脂的相关性，优化CT定量VAT技术。方法：使用CT阈值分割法测量61例受检者胸12/腰1、腰1/2、腰2/3、腰3/4、腰4/5、腰5/骶1共6个椎间隙水平的单层面腹部VAT体积，并计算内脏脂肪组织指数（VATI，VAT/身高2）。对VAT、VATI与血脂各项指标进行Pearson线性相关分析，运用ROC曲线分析VAT、VATI预测高脂血症的诊断效能，确定CT定量VAT的最佳技术。结果：61例受检者中高脂血症占比55.7%，VAT、VATI与高脂血症存在明显相关性，腰3 /4椎间隙水平相关性最高（P均＜0.05）。ROC曲线分析显示VATI较VAT诊断效能稍高（AUC: 0.83 vs 0.826），二者的临界值分别为64.80 cm3/m2及184.78 cm3。结论：腰3/4水平是CT定量VAT的最佳单层面。VATI比VAT对预测高脂血症具有稍高的诊断效能。
Abstract:
Objective: To optimize quantifying visceral adipose tissue (VAT) and to evaluate the correlation between VATs and hyperlipidemia. Methods: Sixty-one cases with blood lipids undergoing abdominal CT scan were selected in this study. VAT was quantified on CT image using threshold-based analysis with GE workstation on the levels of interspaces between thoracic vertebrae 12/lumbar 1, lumbar1/2, 2/3, 3/4, 4/5 and lumbar 5/sacral 1, respectively.VAT index (VATI) was transformed by VAT divided by the square of the stature. The pearsoncorrelation analysis was performed to evaluate the correlation between the VAT/VATs and hyperlipidemia. The diagnostic value and the cut-off value of VAT/VATs on predicting hyperlipidemia were assessed using ROC curve analysis. Results: Of 61 cases, 55.7% suffered from hyperlipidemia. Significant correlations were detected between VAT / VATI and hyperlipidemia. The best correlation was found on the level of lumbar 3/4 (all P values< 0.05). The ROC curve analysis showed the VATS had a slightly better performance compared with VAT (AUC: 0.83 vs 0.826), and the cut-off value was 64.80 cm3/m2 for VATS and 184.78 cm3 for VAT. Conclusion: The VAT measured on the level of lumbar 3/4 is recommended for the best slice owing to its significant correlation with hyperlipidemia. The VATI has a slightly better predictive performance than VAT.

参考文献/References:


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备注/Memo

备注/Memo:
作者简介 苏大同（1971-），男，主治医师，硕士，研究方向：医学影像学；通信作者：于铁链，E-mail：TJZYYYTL@163.com。
更新日期/Last Update: 2018-09-30