| 徐健,王相权,杨盼峰,等.基于体重和体质量指数计算腹盆CT体型特异性剂量估算值的可行性[J].中华放射医学与防护杂志,2020,40(7):549-553.Xu Jian,Wang Xiangquan,Yang Panfeng,et al.Feasibility study for calculating size-specific dose estimates based on weight and body mass index in CT abdomen-pelvic examination of adult population[J].Chin J Radiol Med Prot,2020,40(7):549-553 |
| 基于体重和体质量指数计算腹盆CT体型特异性剂量估算值的可行性 |
| Feasibility study for calculating size-specific dose estimates based on weight and body mass index in CT abdomen-pelvic examination of adult population |
| 投稿时间：2019-10-13 |
| DOI：10.3760/cma.j.issn.0254-5098.2020.07.011 |
| 中文关键词: 体质量指数 体层摄影术,X射线计算机 体型特异性剂量估算值 |
| 英文关键词:Body mass index Tomography,X-ray Size-specific dose estimate |
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| 中文摘要: |
| 目的 探讨使用体重和体质量指数（BMI）计算腹盆CT检查体型特异性剂量估算值（SSDE）的可行性。方法 回顾性分析腹盆CT检查患者512例。使用基于MATLAB开发的软件自动计算患者每个层面的水等效直径（dw）、体型转换因子（f）和SSDE，并求取其平均值。以双变量相关分析患者年龄、身高、体重和BMI与dw的相关性。将前二分之一病例作为模型病例分别建立体重和BMI与dw的回归方程，后二分之一病例作为验证病例，计算基于体重和BMI的SSDE（SSDEweight，SSDEBMI）。以MATLAB软件自动计算SSDE为参照，分别计算SSDEweight和SSDEBMI的平均相对误差和平均均方根误差。结果 年龄与dw的相关性无统计学意义（P>0.05），身高与dw呈弱相关（r=0.260，P<0.05）；体重和BMI与dw强相关（r=0.879、0.851，P<0.05）。体重和BMI与因变量dw的回归方程分别为dw=13.808+0.184×weight，dw=11.142+0.618×BMI。验证病例SSDE、SSDEweight和SSDEBMI分别（13.55±1.66）、（13.84±2.03）和（13.83±2.02）mGy。以实际测量的SSDE为对照，所有验证病例SSDEweight和SSDEBMI的平均相对误差分别为1.97%和1.87%；男性0.38%和2.75%、女性4.58%和0.43%；体重过低0.11%和3.32%、体重正常1.92%和2.06%、超重2.57%和1.57%、肥胖3.28%和-1.36%。所有验证病例SSDEweight和SSDEBMI平均均方根误差同为0.80 mGy；男性为0.65和0.67 mGy、女性0.98和0.59 mGy；体重过低0.73和1.03 mGy、体重正常0.74和0.66 mGy、超重0.85和0.79 mGy、肥胖1.10和1.32 mGy。结论 体重和BMI均可作为dw的替代参数，用于计算腹盆CT扫描SSDE，但体重更适合于男性，而女性倾向于选择BMI。 |
| 英文摘要: |
| Objective To explore the feasibility for taking weight and body mass index (BMI) to calculate the size-specific dose estimate (SSDE) in abdomen-pelvis CT examination. Methods 512 adult patients undergoing abdomen-pelvis CT examination were retrospectively analyzed. The in-house software based on MATLAB platform were used to calculate automatically water equivalent diameter (dw), size-dependent conversion factor (f), SSDE, together with their respective averaged values. The correlations between age, height, weight and BMI with dw were calculated by using Spearman correlation analysis. Two regression equations were established to calculate the SSDE (SSDEweight,SSDEBMI), one for the correlation of weight with dw based on first half of these cases and the other for that between BMI with dw based on another half as the cases to be verified. With reference of the SSDE derived from the in-house software, the averaged relative differences and root-mean-square errors in SSDEweightand SSDEBMI were calculated, respectively. Results No statistically significant correlation between age and dw (P>0.05) was shown, but weak correlation between height and dw(r=0.260,P<0.05), strong correlation between either weight or BMI with dw(r=0.879, 0.851,P<0.05). Two regression equations were described as dw=13.808+0.184×weight, dw=11.142+0.618×BMI. The mean SSDE, SSDEweight and SSDEBMI for the verified patients were (13.55±1.66) mGy, (13.84±2.03) mGy and (13.83±2.02) mGy, respectively. As compared to actual SSDE, the averaged relative differences in SSDEweight and SSDEBMI were 1.97% and 1.87%; 0.38% and 2.75% for male patients; 4.58% and 0.43% for female patients; 0.11% and 3.32% for patients with BMI<18.5 kg/m2; 1.92% and 2.06% for those with 18.5 kg/m2 ≤ BMI<24.0 kg/m2; 2.57% and 1.57% for those with 24 kg/m2 ≤ BMI<28.0 kg/m2; 3.28% and -1.36% for those with BMI ≥ 28.0 kg/m2. The averaged root-mean-square errors in SSDEweight and SSDEBMI were both 0.80 mGy; 0.65 and 0.67 mGy for male patients; 0.98 and 0.59 mGy for female patients; 0.73 and 1.03 mGy for underweight, 0.74 and 0.66 mGy for normal weight, 0.85 and 0.79 mGy for overweight, and 1.10 and 1.32 mGy for obesity. Conclusions Weight and BMI can be used as the surrogate dw to compute SSDE in adult abdomen-pelvis CT examination. However, Weight rather than BMI is more applied to male patients, and BMI is more suitable for female patients. |
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