摘要
目的 评价双源CT痛风识别技术(DECT)中足趾甲周绿色伪彩在痛风临床诊断中的价值.方法 病例组为2014年10月至2015年4月于天津市第一中心医院就诊的临床确诊痛风患者53例,男45例、女8例,年龄19 ~68(46 ±13)岁.对照组为非痛风患者33例,两组性别及年龄差异无统计学意义.两组均对双足行DECT非增强扫描及薄层重组,将原始数据输送至双源痛风分析软件(dual energy)处理.比较两组甲周绿色伪彩检出差异,统计学分析采用x2检验.结果 病例组53例患者甲周发现绿色伪彩266处,检出率50.2%(266/530);对照组33例非痛风患者甲周发现绿色伪彩27处,检出率8.2%(27/330).检出数两组相比,差异有统计学意义(P<0.01);病例组中仅甲周出现绿色伪彩者8例与对照组33例检出数两组相比,差异亦有统计学意义(P<0.01).结论 DECT显示甲周绿色伪彩对于痛风诊断具有较高的临床价值.
Objective To evaluate the clinical value of dual-energy CT(DECT) in the detection of green-coloured voxels in toenails in patients with gout using DECT.Methods A total of 53 patients with gout could be included in the study composed of 45 men and 8 women, and 33 individuals without gout were regarded as control group.There were no significant differences in gender and age between two groups.DECT were performed for the both feet, DE (80 kV and 140 kV) datasets were reconstructed via gout-recognition software, the pseudo-color images group as the postprocessed group.Imagings were reviewed independently by two senior radiologists.Chi-square test was used for statistical analysis with the SPSS 17.0 software.Results In the gout group, DECT scans revealed a total of 266 areas of green-coloured voxels in 53 patients (relevance ratio 50.2% (266/530));in the control group, 27 areas of green-coloured voxels were detected in 33 patients (relevance ratio 8.2% (27/330)), the differences had statistical significance (P 〈 0.01).In the gout group, the green-coloured voxels were detected only in the nail groove in 8 patients which compared with 2 the control group, the differences had statistical significance (P〈0.01).Conclusions DECT gout recognition technology can detect green-coloured voxels of monosodium urate in the toenails, with a great potential in clinical diagnosis.
出处
《中华医学杂志》
CAS
CSCD
北大核心
2015年第39期3220-3222,共3页
National Medical Journal of China
关键词
体层摄影术
诊断
痛风
绿色伪彩
Tomography
Diagnosis
Gout
Green-coloured voxels