From the Departments of Diagnostic Radiology and Nuclear Medicine (U.K.B., K.S., D.D., T.P., G.L., T.R.F.), Neurosurgery (B.A., G.S., M.S.), Neurology, R. Adams Cowley Shock Trauma Center (Y.G.P.), Epidemiology and Public Health (Y.L.), University of Maryland School of Medicine, 22 S Greene St, Baltimore, MD 21201; and University of Maryland School of Medicine, Baltimore, Md (M.R., S.T.).
Radiology. 2019 Sep;292(3):730-738. doi: 10.1148/radiol.2019190078. Epub 2019 Jul 30.
BackgroundTraumatic hemorrhagic contusions are associated with iodine leak; however, quantification of leakage and its importance to outcome is unclear.PurposeTo identify iodine-based dual-energy CT variables that correlate with in-hospital mortality and short-term outcomes for contusions at hospital discharge.Materials and MethodsIn this retrospective study, consecutive patients with contusions from May 2016 through January 2017 were analyzed. Two radiologists evaluated CT variables from unenhanced admission head CT and follow-up head dual-energy CT scans obtained after contrast material-enhanced whole-body CT. The outcomes evaluated were in-hospital mortality, Rancho Los Amigos scale (RLAS) score, and disability rating scale (DRS) score. Logistic regression and linear regression were used to develop prediction models for categorical and continuous outcomes, respectively.ResultsThe study included 65 patients (median age, 48 years; interquartile range, 25-65.5 years); 50 were men. Dual-energy CT variables that correlated with mortality, RLAS score, and DRS score were iodine concentration, pseudohematoma volume, iodine quantity in pseudohematoma, and iodine quantity in contusion. The single-energy CT variable that correlated with mortality, RLAS score, and DRS score was hematoma volume at follow-up CT. Multiple logistic regression analysis after inclusion of clinical variables identified two predictors that enabled determination of mortality: postresuscitation Glasgow coma scale (P-GCS) (adjusted odds ratio, 0.42; 95% confidence interval [CI]: 0.2, 0.86; = 0.01) and iodine quantity in pseudohematoma (adjusted odds ratio, 1.4 per milligram; 95% CI: 1.02 per milligram, 1.9 per milligram; = 0.03), with a mean area under the receiver operating characteristic curve of 0.96 ± 0.05 (standard error). For RLAS, the predictors were P-GCS (mean coefficient, 0.32 ± 0.06; < .001) and iodine quantity in contusion (mean coefficient, -0.04 per milligram ± 0.02; 0.01). Predictors for DRS were P-GCS (mean coefficient, -1.15 ± 0.27; < .001), age (mean coefficient, 0.13 per year ± 0.04; .002), and iodine quantity in contusion (mean coefficient, 0.19 per milligram ± 0.07; .02).ConclusionIodine-based dual-energy CT variables correlate with in-hospital mortality and short-term outcomes for contusions at hospital discharge.© RSNA, 2019See also the editorial by Talbott and Hess in this issue.
背景外伤性出血性挫伤与碘泄漏有关;然而,泄漏的定量及其对结果的重要性尚不清楚。
目的确定与住院死亡率和挫伤出院时短期结果相关的基于碘的双能 CT 变量。
材料与方法本回顾性研究分析了 2016 年 5 月至 2017 年 1 月期间连续发生的挫伤患者。两位放射科医生评估了入院时未增强头部 CT 和增强后全身 CT 后获得的头部双能 CT 扫描的 CT 变量。评估的结果是住院死亡率、拉霍亚洛马斯康复分级(Rancho Los Amigos scale,RLAS)评分和残疾评定量表(disability rating scale,DRS)评分。使用逻辑回归和线性回归分别为分类和连续结果开发预测模型。
结果本研究纳入 65 例患者(中位年龄 48 岁;四分位间距 25-65.5 岁;50 例为男性)。与死亡率、RLAS 评分和 DRS 评分相关的双能 CT 变量包括碘浓度、假性血肿体积、假性血肿内碘量和挫伤内碘量。与死亡率、RLAS 评分和 DRS 评分相关的单能 CT 变量是随访 CT 时的血肿体积。纳入临床变量后的多变量逻辑回归分析确定了两个可预测死亡率的指标:复苏后格拉斯哥昏迷量表(postresuscitation Glasgow coma scale,P-GCS)(调整后优势比,0.42;95%置信区间 [CI]:0.2,0.86; = 0.01)和假性血肿内碘量(adjusted odds ratio,1.4 per milligram;95% CI:1.02 per milligram,1.9 per milligram; = 0.03),其受试者工作特征曲线下的平均面积为 0.96±0.05(标准误差)。对于 RLAS,预测因子为 P-GCS(mean coefficient,0.32±0.06; <.001)和挫伤内碘量(mean coefficient,-0.04 per milligram±0.02; 0.01)。DRS 的预测因子为 P-GCS(mean coefficient,-1.15±0.27; <.001)、年龄(mean coefficient,0.13 per year±0.04; .002)和挫伤内碘量(mean coefficient,0.19 per milligram±0.07; .02)。
结论基于碘的双能 CT 变量与挫伤出院时的住院死亡率和短期结果相关。
© 2019 RSNA,见本期 Talbott 和 Hess 的社论。