From the Departments of Diagnostic Radiology and Nuclear Medicine (U.K.B., K.S., T.R.F.)
From the Departments of Diagnostic Radiology and Nuclear Medicine (U.K.B., K.S., T.R.F.).
AJNR Am J Neuroradiol. 2019 Dec;40(12):2059-2065. doi: 10.3174/ajnr.A6316. Epub 2019 Nov 14.
Hemorrhagic contusions are associated with iodine leakage. We aimed to identify quantitative iodine-based dual-energy CT variables that correlate with the type of intracranial pressure management.
Consecutive patients with contusions from May 2016 through January 2017 were retrospectively analyzed. Radiologists, blinded to the outcomes, evaluated CT variables from unenhanced admission and short-term follow-up head dual-energy CT scans obtained after contrast-enhanced whole-body CT. Treatment intensity of intracranial pressure was broadly divided into 2 groups: those managed medically and those managed surgically. Univariable analysis followed by logistic regression was used to develop a prediction model.
The study included 65 patients (50 men; median age, 48 years; Q to Q, 25-65.5 years). Twenty-one patients were managed surgically (14 by CSF drainage, 7 by craniectomy). Iodine-based variables that correlated with surgical management were higher iodine concentration, pseudohematoma volume, iodine quantity in pseudohematoma, and iodine quantity in contusions. The regression model developed after inclusion of clinical variables identified 3 predictor variables: postresuscitation Glasgow Coma Scale (adjusted OR = 0.55; 95% CI, 0.38-0.79; = .001), age (adjusted OR = 0.9; 95% CI, 0.85-0.97; = .003), and pseudohematoma volume (adjusted OR = 2.05; 95% CI, 1.1-3.77; = .02), which yielded an area under the curve of 0.96 in predicting surgical intracranial pressure management. The 2 predictors for craniectomy were age (adjusted OR = 0.89; 95% CI, 0.81-0.99; = .03) and pseudohematoma volume (adjusted OR = 1.23; 95% CI, 1.03-1.45; = .02), which yielded an area under the curve of 0.89.
Quantitative iodine-based parameters derived from follow-up dual-energy CT may predict the intensity of intracranial pressure management in patients with hemorrhagic contusions.
出血性挫伤与碘泄漏有关。我们旨在确定与颅内压管理类型相关的定量碘双能 CT 变量。
回顾性分析 2016 年 5 月至 2017 年 1 月期间因挫伤连续就诊的患者。放射科医生在盲法的情况下,评估了入院时未经增强的 CT 变量以及在对比增强全身 CT 后进行的短期随访头部双能 CT 扫描。颅内压治疗强度大致分为 2 组:接受药物治疗和接受手术治疗。采用单变量分析和逻辑回归分析建立预测模型。
本研究纳入了 65 名患者(50 名男性;中位年龄 48 岁;四分位间距 25-65.5 岁)。21 名患者接受了手术治疗(14 例接受脑脊液引流,7 例接受开颅手术)。与手术治疗相关的碘基变量包括较高的碘浓度、假性血肿体积、假性血肿内的碘量和挫伤内的碘量。纳入临床变量后建立的回归模型确定了 3 个预测变量:复苏后格拉斯哥昏迷量表评分(校正比值比=0.55;95%置信区间,0.38-0.79;=0.001)、年龄(校正比值比=0.9;95%置信区间,0.85-0.97;=0.003)和假性血肿体积(校正比值比=2.05;95%置信区间,1.1-3.77;=0.02),用于预测手术颅内压管理的曲线下面积为 0.96。行开颅手术的 2 个预测指标为年龄(校正比值比=0.89;95%置信区间,0.81-0.99;=0.03)和假性血肿体积(校正比值比=1.23;95%置信区间,1.03-1.45;=0.02),其曲线下面积为 0.89。
来自随访双能 CT 的定量碘基参数可能预测出血性挫伤患者颅内压管理的强度。