摘要
目的 探讨在多发创伤患者中采用多层螺旋CT一次性扫描检查多个部位的应用价值.方法 收集2023年1-11月多发创伤患者60例,采用随机数表法将患者分为试验组和对照组,每组30人,试验组患者为头颅、颈椎、胸部和腹部一次性扫描,对照组为各部位分开扫描.记录两组图像的噪声、信噪比(SNR)、对比信噪比(CNR),比较两组患者图像主观评价、客观评价、CT容积剂量指数(CTDIvol)、有效剂量(E)、扫描时间及扫描范围的差异.结果 试验组头颅SNR小于对照组,胸部SNR和CNR大于对照组(t=-5.47、-5.95、-6.15,P＜0.05).试验组 E 从 18.53 mSv 降低至 13.81 mSv(t=3.29,P＜0.001);CTDIvol 从 15.77 mGy 降低至10.59 mGy(t=4.48,P＜0.001);扫描时间从 31.68 s 缩短至 10.97 s(t=6.95,P＜0.001);扫描范围从64.92 cm缩短至45.21 cm(t=9.05,P＜0.001).结论 多发创伤患者采用多部位一次性CT扫描在保证图像质量的同时,降低了有效剂量,缩短了扫描时间,优化了扫描范围,值得临床推广.
Abstract
Objective To explore the clinical application value of single pass scanning using muti-slice spiral CT for polytrauma patients.Methods Totally 60 polytrauma patients treated from January to November in 2023 were randomly enrolled in this study.They were categorized into an experimental group and a control group using a random number table,with 30 patients in each group.The patients in the experimental group underwent single pass scaning for the head,neck,chest,and abdomen,whereas those in the control group receiving separate scanning for various parts.Then,the noise,signal-to-noise ratio(SNR),and contrast-to-noise(CNR)of the CT images of both groups were recorded.Furthermore,the objective and subjective evaluation,volume CT dose index(CTDIvol),effective dose(E),scanning time,and scan ranges of the images were compared between both groups'.Results Compared to the control group,the test group exhibited lower SNR of the head(t=-5.47,P＜0.05)and higher SNR and CNR of the chest scans(t=-5.95,-6.15,P＜0.05).Furthermore,the test group demonstrated decreased ED,CTDIvol,scanning time,and scan range,which dropped from 18.53 mSv to 13.81 mSv(t=3.29,P＜0.001),from 15.77 mGy to 10.59 mGy(t=4.48,P＜0.001),from 31.68 s to 10.97 s(t=6.95,P＜0.001),and from 64.92 cm to 45.21 cm(t=9.05,P＜0.001),respectively compared to the control group.Conclusions Single pass CT scanning can reduce E,scanning time,and scan range in the treatment of polytrauma patients while ensuring the high quality of CT images,thus warranting wide clinical applications.
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